This tutorial manual provides an introduction to R, a software package for statistical computing and graphics. This revised and updated edition is based on the April 2009 release of R (version 2.9.0).
This is a printed edition of the reference documentation for R (version 2.13.x), a powerful free environment for statistical computing and graphics. This is the third volume which covers the statistical functions of R. There are four volumes in the complete set of manuals. All the manuals are written by the developers of R, and represent the definitive guide to the software. The manuals explain the use of each command in detail, with references, implementation notes and examples. Every volume includes a comprehensive index of entries listed by keyword and topic. For each volume sold 1 USD is donated by the publisher (Network Theory Ltd) to the R Foundation to support the development of the software.
R is an integrated suite of software facilities for data manipulation, calculation and graphical display. Among other things it has an effective data handling and storage facility, a suite of operators for calculations on arrays, in particular matrices, a large, coherent, integrated collection of intermediate tools for data analysis, graphical facilities for data analysis and display either directly at the computer or on hard-copy, and a well developed, simple and effective programming language (called 'S') which includes conditionals, loops, user defined recursive functions and input and output facilities. (Indeed most of the system supplied functions are themselves written in the S language.) The term "environment" is intended to characterize it as a fully planned and coherent system, rather than an incremental accretion of very specific and inflexible tools, as is frequently the case with other data analysis software. R is very much a vehicle for newly developing methods of interactive data analysis. It has developed rapidly, and has been extended by a large collection of packages. However, most programs written in R are essentially ephemeral, written for a single piece of data analysis.
Master the robust features of R parallel programming to accelerate your data science computations About This Book Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest Become an expert in writing the most efficient and highest performance parallel algorithms in R Get to grips with the concept of parallelism to accelerate your existing R programs Who This Book Is For This book is for R programmers who want to step beyond its inherent single-threaded and restricted memory limitations and learn how to implement highly accelerated and scalable algorithms that are a necessity for the performant processing of Big Data. No previous knowledge of parallelism is required. This book also provides for the more advanced technical programmer seeking to go beyond high level parallel frameworks. What You Will Learn Create and structure efficient load-balanced parallel computation in R, using R's built-in parallel package Deploy and utilize cloud-based parallel infrastructure from R, including launching a distributed computation on Hadoop running on Amazon Web Services (AWS) Get accustomed to parallel efficiency, and apply simple techniques to benchmark, measure speed and target improvement in your own code Develop complex parallel processing algorithms with the standard Message Passing Interface (MPI) using RMPI, pbdMPI, and SPRINT packages Build and extend a parallel R package (SPRINT) with your own MPI-based routines Implement accelerated numerical functions in R utilizing the vector processing capability of your Graphics Processing Unit (GPU) with OpenCL Understand parallel programming pitfalls, such as deadlock and numerical instability, and the approaches to handle and avoid them Build a task farm master-worker, spatial grid, and hybrid parallel R programs In Detail R is one of the most popular programming languages used in data science. Applying R to big data and complex analytic tasks requires the harnessing of scalable compute resources. Mastering Parallel Programming with R presents a comprehensive and practical treatise on how to build highly scalable and efficient algorithms in R. It will teach you a variety of parallelization techniques, from simple use of R's built-in parallel package versions of lapply(), to high-level AWS cloud-based Hadoop and Apache Spark frameworks. It will also teach you low level scalable parallel programming using RMPI and pbdMPI for message passing, applicable to clusters and supercomputers, and how to exploit thousand-fold simple processor GPUs through ROpenCL. By the end of the book, you will understand the factors that influence parallel efficiency, including assessing code performance and implementing load balancing; pitfalls to avoid, including deadlock and numerical instability issues; how to structure your code and data for the most appropriate type of parallelism for your problem domain; and how to extract the maximum performance from your R code running on a variety of computer systems. Style and approach This book leads you chapter by chapter from the easy to more complex forms of parallelism. The author's insights are presented through clear practical examples applied to a range of different problems, with comprehensive reference information for each of the R packages employed. The book can be read from start to finish, or by dipping in chapter by chapter, as each chapter describes a specific parallel approach and technology, so can be read as a standalone.
oAction inquiryo is a fresh approach to learning leadership in the midst of action. This highly accessible process takes each of us beyond muddling through daily dilemmas to exercising transforming power at key moments and more timely action in general. Bill Torbert and Associates lead you through more and more sophisticated oaction-logicso-strategies for analyzing the world and reacting to it-until you are able to practice action inquiry continually. Speaking to everyone from new managers to CEOs to world leaders, real-life stories of leadership and organizational transformations show how action inquiry increases personal integrity, relational mutuality, company profitability, and long-term organizational and environmental sustainability.
The second decade of the 21st century has brought unprecedented challenges to traditional workplaces. The global pandemic has forced the advance of working from home and telework. Individuals with little or no background or training in e-leadership, virtual project management, or virtual team management suddenly found themselves in the environment of virtual work. Leading Virtual Project Teams, Second Edition addresses the challenges that today’s virtual project management environment poses to traditional methods of leadership and communication. Leadership for successful virtual team management is different from that for traditional, collocated project team management. Explaining appropriate e-leadership styles for virtual project teams and the transition toward new leadership styles, the book is filled with communication techniques for leading virtual project teams. It helps project managers develop e-leadership competencies needed to successfully deliver projects in today’s organizations. The second edition also examines: Virtual meeting techniques Inclusive language Managing virtual relationships Why virtual work is now more important The work-at-home environment By recognizing how virtual teams are different from traditional teams, those managing virtual projects may be able to offer benefits to their organization by providing positive, successful leadership and exceptional communications, resulting in better project deliverables and products. This book provides an approach that explores all facets of e-leadership—from how traditional leadership theories and models can be applied by 21st century leaders to providing methods by which the virtual project manager can enhance virtual project communications to meet the needs of our modern global business world. It features project management checklists and templates and includes business cases, best practices, and tools and techniques for virtual project management communications.
Why confine a company to a handful of elitist black belts when we can convert all the people to black belts at a fraction of the cost and with far greater effectiveness." -- Author Keki R. Bhote Six Sigma started as a revolutionary quality tool at Motorola, gained fame as a powerful driver of cost savings at GE, and has spawned an entire industry of publications and consultants, many peddling a watered-down version of the original Motorola Six Sigma process. Now, Keki Bhote, one of the founders of Six Sigma, taps into the rigors and rewards of this breakthrough process--but moves it beyond mere quality to focus on total business excellence in 12 key areas. From customer loyalty to leadership to supply chain management, "The Ultimate Six Sigma" provides the techniques and metrics needed to measure success, and supplies self-assessment audits to help readers ensure that they're getting it right. Case studies illustrate how Six Sigma has been successfully implemented in each key area.
Get the edge over the competition for government contracts! In the battle for government contracts, seize the competitive advantage with Winning Government Business: Gaining the Competitive Advantage with Effective Proposals, Second Edition. Includes complimentary access to the Winning Government Business website.
This book examines the relationships between sport event hosting and community development goals. With sport events proliferating around the world, from major events to local events, the book explains how community goals can be embedded into sports event planning, and how events at all levels can be most effectively leveraged to achieve positive outcomes and legacies for local communities. Featuring real-world case studies and the perspective of industry practitioners in every chapter, the book explores the commercial, social, and political contexts in which events take place and what is meant by "legacy" and "impact." It introduces the key stakeholders, from residents and local government to NGOs, as well as the spectrum of goals that might be in play, and looks at partnerships working for the best effect. The book also explains the sports event management process, from bidding to planning to venue management to monitoring and evaluation, and considers how community development goals can, and should, be incorporated at every stage. With a practical focus, and full of useful features for learning and understanding, this is essential reading for any student or practitioner with an interest in sports events, community sport, sport development, event management, or sustainable business.
Improve Principal Evaluation And Create Highly Effective Leaders! Behind every high-quality principal is an airtight system of leadership evaluation that consistently rewards excellence and remedies deficits. While teacher evaluation methods have improved, instructional leadership evaluation has often stood still—and student learning and achievement have paid the price. This book offers clear solutions to these and related problems. Application of its ideas will ensure high quality leadership in the principal’s office year after year. Content includes: Extensive data, presented in a user-friendly manner Clear connections to the ISLLC Standards for School Leaders A suite of interactive tools, including sample self-assessments, mid-year and final evaluation forms, and professional growth plans
Some 13,000 years ago, humans were drawn repeatedly to a small valley in what is now Central Texas, near the banks of Buttermilk Creek. These early hunter-gatherers camped, collected stone, and shaped it into a variety of tools they needed to hunt game, process food, and subsist in the Texas wilderness. Their toolkit included bifaces, blades, and deadly spear points. Where they worked, they left thousands of pieces of debris, which have allowed archaeologists to reconstruct their methods of tool production. Along with the faunal material that was also discarded in their prehistoric campsite, these stone, or lithic, artifacts afford a glimpse of human life at the end of the last ice age during an era referred to as Clovis. The area where these people roamed and camped, called the Gault site, is one of the most important Clovis sites in North America. A decade ago a team from Texas A&M University excavated a single area of the site—formally named Excavation Area 8, but informally dubbed the Lindsey Pit—which features the densest concentration of Clovis artifacts and the clearest stratigraphy at the Gault site. Some 67,000 lithic artifacts were recovered during fieldwork, along with 5,700 pieces of faunal material. In a thorough synthesis of the evidence from this prehistoric “workshop,” Michael R. Waters and his coauthors provide the technical data needed to interpret and compare this site with other sites from the same period, illuminating the story of Clovis people in the Buttermilk Creek Valley.
Presents an ultimate theory of knowledge-based management and organizational knowledge creation based on empirical research and an extensive literature review. It explores knowledge management as a global concept and is relevant to any company that wants to prosper and thrive in the global knowledge economy.
This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"--
To study the role of business incubators in the economic growth of India, it is imperative to understand whether or not incubators reduce the mortality of start-ups. Are incubators instrumental in providing an effective platform for accelerating the growth of start-ups? Do the existing incubators meet the expectations of start-ups? Are incubated start-ups able to attract funding from venture capitalists? These are only some of the questions that fall within the scope of this research. In this book, the authors explore the subject in-depth in an attempt to respond to them. For the purpose of this study, primary and secondary research data were used. In the context of American, European and Chinese incubator industries, this data was readily available. However, due to its nascent stage, there was not enough secondary data available in the context of the Indian incubation industry. Therefore, primary research was carried out. Thus, in order to design the research, structured interviews with the founders of start-ups and incubator managers were conducted. The findings of the study reveal that, despite the gaps between the offering of incubators and the expectations of start-ups, there is a positive impact of business incubators on job creation, wealth generation and the creation of intellectual property.
The Sustainability Handbook covers all the challenges, complexities and benefits of sustainability for businesses, governments and other organizations. It provides a blueprint for how organizations can reach or exceed economic, social and environmental excellence. It offers a host of practical approaches and tools including a model sustainability policy for organizations, summaries of sustainability codes and tips on selecting them, an extensive collection of metrics and a wealth of supplementary reference material. This is the essential reference for every organization in pursuit of sustainability.
This second edition of Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is organized into five parts. Chapters 2, 3, and 5 of Part I cover concisely many of the ideas discussed in Rosenbaum’s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates, and includes an updated chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV is new to this edition; it discusses evidence factors and the computerized construction of more than one comparison group. Part V discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher’s striking advice for observational studies: "make your theories elaborate." This new edition features updated exploration of causal influence, with four new chapters, a new R package DOS2 designed as a companion for the book, and discussion of several of the latest matching packages for R. In particular, DOS2 allows readers to reproduce many analyses from Design of Observational Studies.
This festschrift includes papers authored by many collaborators, colleagues, and students of Professor Thomas P Hettmansperger, who worked in research in nonparametric statistics, rank statistics, robustness, and mixture models during a career that spanned nearly 40 years. It is a broad sample of peer-reviewed, cutting-edge research related to nonparametrics and mixture models.
Developing Communication Skills for Veterinary Practice Developing Communication Skills for Veterinary Practice provides a thorough grounding in practical communication principles for client and team interactions, and helps veterinarians and staff take their communication skills to the next level through self-development and coaching colleagues. The book describes specific evidence-based techniques, gives examples of their use, and demonstrates how to use each skill in the clinical setting, with learning activities to put into practice. It covers every mode of communication, including face-to-face, virtual, telephone, and written communication. Organized by the tasks of the clinical appointment, each chapter showcases specific communication skills. The book introduces a communication toolbox of 20 key communication skills, which can be applied to any area of veterinary practice or veterinary career path. The book: Defines each communication skill, demonstrates techniques, and provides examples Emphasizes the importance of communicating effectively with clients and colleagues Provides a process and structure for coaching communication with colleagues Discusses client and team interactions using many methods, including in-person meetings, telephone conversations, and emails Outlines best practices for effectively communicating using technology Developing Communication Skills for Veterinary Practice is an invaluable resource for veterinary professionals at any level seeking to develop their communication skills and improve clinical outcomes.
Organization structures do not fail, says Jay Galbraith, but management fails at implementing them correctly. This is why, he explains, the idea that the matrix does not work still exists today, even among people who should know better. But the matrix has become a necessary form of organization in today's business environment. Companies now know that if they have multiple product lines, do business in multiple countries, and serve many customer segments through a variety of channels, there is no way they can avoid some kind of a matrix structure and the question most are asking is "How do we learn how to operate the matrix effectively?" In Designing Matrix Organizations That Actually Work, Galbraith answers this and other questions as he shows how to make a matrix work effectively.
′Motivating Your Team is an excellent handbook for all those who intend to get the best out to their team, to motivate, lead and support individuals as well as groups of people, and thus assist them in maximizing their performance as professionals....[It] is an excellent resource I would like to recommend wholeheartedly to all those who are involved in appraisal processes in whatever capacity′ - Educational Management Administration and Leadership ′Taylor has produced a book which goes to the theoretical and practical heart of coaching in modern school leadership′ - Management in Education ′Each page arrives crisp and clear underpinned by a transparent rationale... A useful addition on the book shelf of head teachers and school leadership programmes′ - ESCalate Designed to help you get the best out of your team, this practical book shows you how to motivate and engage people through the effective design, application and review of performance management. Checklists and practical guidance notes are provided to help you understand the principles and practice of effective performance management and how the process can be an essential lever in enhancing the performance and motivation of individuals and teams in your organization. Headteachers, team leaders, governors and trainers will reach for this book again and again.
School Counseling in the 21st Century brings the theoretical aspects of school counseling to life. As they move through the book, school counselors in training will begin to identify and develop the significant pieces of a comprehensive school counseling program. They will also experience, through real and relevant case studies, how school counselors are using technology, assessment data, and leadership skills to implement effective programs aimed at serving their students. Each chapter reflects on how the national model for school counseling, standards of practice, multicultural skills, and ethical guidelines are the foundation of building comprehensive programs. School Counseling in the 21st Century comprehensively addresses the 2016 CACREP Standards: the beginning of each chapter outlines which core and school counseling standards are addressed, and chapters support CACREP’s requirement for material on multicultural counseling, ultimately enhancing readers’ knowledge and effectiveness in working with diverse populations.
In a world where data-driven decisions can lead to changes in the land in health care, "Essentials of Healthcare Analytics" is the unique source of how to leverage that data to deliver better care at a lower cost and with better margins. This book delves deep into the great yet critical role that analytics play in health care and looks forward to how the technologies, methodologies, and best practices in this field are set to have their future defined. It could entail such diverse topics as foundational concepts through advanced applications, data integration, predictive modeling, and real-time analytics. Learn how to leverage state-of-the-art tools such as Python and R in data analysis and find out how machine learning and AI have changed patient care, personalized medicine, and healthcare management. Whether you are a working professional in healthcare, a data analyst, or a student who seeks to break into such an exciting field, Essentials of Healthcare Analytics will prepare you with knowledge and the right skill set to negotiate the complexities of healthcare through data and make this knowledge actionable for informed decisions. Embrace the future of healthcare with the deep understanding of how analytics can drive your organization towards innovation and efficiency.
A hands-on guide to using R to carry out key statistical practices in educational and behavioral sciences research Computing has become an essential part of the day-to-day practice of statistical work, broadening the types of questions that can now be addressed by research scientists applying newly derived data analytic techniques. Comparing Groups: Randomization and Bootstrap Methods Using R emphasizes the direct link between scientific research questions and data analysis. Rather than relying on mathematical calculations, this book focus on conceptual explanations and the use of statistical computing in an effort to guide readers through the integration of design, statistical methodology, and computation to answer specific research questions regarding group differences. Utilizing the widely-used, freely accessible R software, the authors introduce a modern approach to promote methods that provide a more complete understanding of statistical concepts. Following an introduction to R, each chapter is driven by a research question, and empirical data analysis is used to provide answers to that question. These examples are data-driven inquiries that promote interaction between statistical methods and ideas and computer application. Computer code and output are interwoven in the book to illustrate exactly how each analysis is carried out and how output is interpreted. Additional topical coverage includes: Data exploration of one variable and multivariate data Comparing two groups and many groups Permutation tests, randomization tests, and the independent samples t-Test Bootstrap tests and bootstrap intervals Interval estimates and effect sizes Throughout the book, the authors incorporate data from real-world research studies as well aschapter problems that provide a platform to perform data analyses. A related Web site features a complete collection of the book's datasets along with the accompanying codebooks and the R script files and commands, allowing readers to reproduce the presented output and plots. Comparing Groups: Randomization and Bootstrap Methods Using R is an excellent book for upper-undergraduate and graduate level courses on statistical methods, particularlyin the educational and behavioral sciences. The book also serves as a valuable resource for researchers who need a practical guide to modern data analytic and computational methods.
Dr.CARMEL MARY BELINDA.M.J, Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India. Dr.K.NATTAR KANNAN, Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India. Dr.R.GNANAJEYARAMAN, Profesor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical And Technical Sciences, Saveetha University, Chennai, India. Dr.U.ARUL, Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India. Dr.M.RAMA MOORTHY, Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.
Dr.R.GOPINATH, Associate Professor, Department of Computer Science and Engineering, K.S.Rangasamy College of Technology (Autonomous), Tiruchengode, Tamil Nadu, India. Dr.A.GNANABASKARAN, Professor, Department of Computer Science and Engineering, K.S.Rangasamy College of Technology (Autonomous), Tiruchengode, Tamil Nadu, India. Mr.P.SATHISHKUMAR, Associate Professor, Department of Computer Science and Engineering, K.S.Rangasamy College of Technology (Autonomous), Tiruchengode, Tamil Nadu, India. Mr.R.VIJAY SAI, Assistant Professor, Department of Computer Science and Engineering, K.S.Rangasamy College of Technology (Autonomous), Tiruchengode, Tamil Nadu, India.
Linear Algebra, James R. Kirkwood and Bessie H. Kirkwood, 978-1-4987-7685-1, K29751 Shelving Guide: Mathematics This text has a major focus on demonstrating facts and techniques of linear systems that will be invaluable in higher mathematics and related fields. A linear algebra course has two major audiences that it must satisfy. It provides an important theoretical and computational tool for nearly every discipline that uses mathematics. It also provides an introduction to abstract mathematics. This book has two parts. Chapters 1–7 are written as an introduction. Two primary goals of these chapters are to enable students to become adept at computations and to develop an understanding of the theory of basic topics including linear transformations. Important applications are presented. Part two, which consists of Chapters 8–14, is at a higher level. It includes topics not usually taught in a first course, such as a detailed justification of the Jordan canonical form, properties of the determinant derived from axioms, the Perron–Frobenius theorem and bilinear and quadratic forms. Though users will want to make use of technology for many of the computations, topics are explained in the text in a way that will enable students to do these computations by hand if that is desired. Key features include: Chapters 1–7 may be used for a first course relying on applications Chapters 8–14 offer a more advanced, theoretical course Definitions are highlighted throughout MATLAB® and R Project tutorials in the appendices Exercises span a range from simple computations to fairly direct abstract exercises Historical notes motivate the presentation
Practical, big-picture guidance toward a mastery of social media benefits and the risks to avoid Packed with useful web links, popular social media tools, platforms, and monitoring tools, Auditing Social Media shows you how to leverage the power of social media for instant business benefits while assessing the risks involved. Your organization sees the value in social media and wants to reach new markets, yet there are risks and compliance issues that must be considered. Auditing Social Media equips you to successfully partner with your business in achieving its social media goals and track it through strong metrics. Shows how to ensure your business has adequate metrics in place to capitalize on social media while protecting itself from excessive risk Reveals how to ensure your social media strategy is aligned with your business's goals Explores the risk and compliance issues every business must consider when using social media Includes a sample audit program Auditing Social Media is the one-stop resource you'll keep by your side to clear away the confusing clutter surrounding social media.
This document intends to provide an analysis of the outcomes of the application of the TAP Common Framework in the eight countries of the Capacity Development for Agricultural Innovation Systems (CDAIS) project. The TAP Common Framework (TAP CF) was developed at the global level as an initial activity of the CDAIS project in order to guide capacity development (CD) and strengthening of Agricultural Innovation Systems (AIS). The project then tested this framework in eight pilot countries (Guatemala, Honduras, Burkina Faso, Angola, Rwanda, Ethiopia, Lao PDR, Bangladesh). The purpose of the transversal analysis was to understand how the CDAIS approach contributed to outcomes and impacts in a diversity of contexts and to propose recommendations for upgrading the Common Framework across its theoretical and practical dimensions. The two main guiding questions were: • What made the CDAIS approach transformational (or not) in diverse contexts? • How useful, usable and used was the TAP Common Framework? The comparative analyses consisted in drawing patterns of context-mechanism-outcomes from case studies from the different countries. Insights gained from some countries were checked and complemented with the data and lessons learnt from others. Common findings were merged, and particular cases were used to expand or refine the generic theory that was built on the case-by-case approach.
How do you take talented engineers and surround them with the elements needed to create brilliant designs that lead to market-changing products? Lean 3P is how.Winner of a 2013 Shingo Research and Professional Publication Award !Written from an operations perspective, The Lean 3P Advantage: A Practitioner‘s Guide to the Production Preparation Proce
This comprehensive book covers a wide variety of methods for estimating the sizes and related parameters of closed populations. With the effect of climate change, and human territory invasion, we have seen huge species losses and a major biodiversity decline. Populations include plants, trees, various land and sea animals, and some human populations. With such a diversity of populations, an extensive variety of different methods are described with the collection of different types of data. For example, we have count data from plot sampling, which can also allow for incomplete detection. There is a large chapter on occupancy methods where a major interest is determining whether a particular species is present or not. Citizen and opportunistic survey data can also be incorporated. A related topic is species methods, where species richness and species' interactions are of interest. A variety of distance methods are discussed. One can use distances from points and lines, as well as nearest neighbor distances. The applications are extensive, and include marine, acoustic, and aerial surveys, using multiple observers or detection devices. Line intercept measurements have a role to play such as, for example, estimating parameters relating to plant coverage. An increasingly important class of removal methods considers successive “removals" from a population, with physical removal or "removal" by capture-recapture of marked individuals. With the change-in-ratio method, removals are taken from two or more classes, e.g., males and females. Effort data used for removals can also be used. A very important method for estimating abundance is the use of capture-recapture data collected discretely or continuously and can be analysed using both frequency and Bayesian methods. Computational aspects of fitting Bayesian models are described. A related topic of growing interest is the use of spatial and camera methods. With the plethora of models there has been a corresponding development of various computational methods and packages, which are often mentioned throughout. Covariate data is being used more frequently, which can reduce the number of unknown parameters by using logistic and loglinear models. An important computational aspect is that of model selection methods. The book provides a useful list of over 1400 references.
Novel Techniques for Analyzing and Combining Data from Modern Biological StudiesBroadens the Traditional Definition of Meta-AnalysisWith the diversity of data and meta-data now available, there is increased interest in analyzing multiple studies beyond statistical approaches of formal meta-analysis. Covering an extensive range of quantitative infor
Statisticians have met the need to test hundreds or thousands of genomics hypotheses simultaneously with novel empirical Bayes methods that combine advantages of traditional Bayesian and frequentist statistics. Techniques for estimating the local false discovery rate assign probabilities of differential gene expression, genetic association, etc. without requiring subjective prior distributions. This book brings these methods to scientists while keeping the mathematics at an elementary level. Readers will learn the fundamental concepts behind local false discovery rates, preparing them to analyze their own genomics data and to critically evaluate published genomics research. Key Features: * dice games and exercises, including one using interactive software, for teaching the concepts in the classroom * examples focusing on gene expression and on genetic association data and briefly covering metabolomics data and proteomics data * gradual introduction to the mathematical equations needed * how to choose between different methods of multiple hypothesis testing * how to convert the output of genomics hypothesis testing software to estimates of local false discovery rates * guidance through the minefield of current criticisms of p values * material on non-Bayesian prior p values and posterior p values not previously published
Innovation Project Management Handbook provides organizational leaders and decision-makers with a cadre of agile, disciplined, and transformational tools and processes for improving innovation opportunity outcomes and achieving sustained innovation project success. The authors introduce new tools and processes developed over their decades of work i
Designing Your Organization is a hands-on guide that provides managers with a set of practical tools to use when making organization design decisions. Based on Jay Galbraith’s widely used Star Model, the book covers the fundamentals of organization design and offers frameworks and tools to help leaders execute their strategy. The authors address the five specific design challenges that confront most of today’s organizations: · Designing around the customer · Organizing across borders · Making a matrix work · Solving the centralization—and decentralization dilemma · Organizing for innovation
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