This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.
This book combines the three dimensions of technology, society and economy to explore the advent of today’s cloud ecosystems as successors to older service ecosystems based on networks. Further, it describes the shifting of services to the cloud as a long-term trend that is still progressing rapidly.The book adopts a comprehensive perspective on the key success factors for the technology – compelling business models and ecosystems including private, public and national organizations. The authors explore the evolution of service ecosystems, describe the similarities and differences, and analyze the way they have created and changed industries. Lastly, based on the current status of cloud computing and related technologies like virtualization, the internet of things, fog computing, big data and analytics, cognitive computing and blockchain, the authors provide a revealing outlook on the possibilities of future technologies, the future of the internet, and the potential impacts on business and society.
Introducing Advanced Macroeconomics: Growth and Business Cycles, 2nd edition provides students with a thorough understanding of fundamental models in macroeconomics and introduces them to methods of formal macroeconomic analysis. Split into two sections, the first half of the book focuses on macroeconomics for the long run, introducing and developing basic models of growth and structural unemployment. The second half of the book deals with the economy in the short run, focusing on the explanation of business fluctuations. This new edition retains the popular pitch and level established in the 1st edition and continues to bridge the gap between intermediate macroeconomics texts and more advanced textbooks.
The tenth volume of "Gums and Stabilisers for the Food Industry" provides an up-to-date account of the latest research developments in the characterisation, properties and applications of polysaccharides and proteins used in food.
Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at http://CRAN.R-project.org After giving examples of multiplicity problems, the book covers general concepts and basic multiple comparisons procedures, including the Bonferroni method and Simes’ test. It then shows how to perform parametric multiple comparisons in standard linear models and general parametric models. It also introduces the multcomp package in R, which offers a convenient interface to perform multiple comparisons in a general context. Following this theoretical framework, the book explores applications involving the Dunnett test, Tukey’s all pairwise comparisons, and general multiple contrast tests for standard regression models, mixed-effects models, and parametric survival models. The last chapter reviews other multiple comparison procedures, such as resampling-based procedures, methods for group sequential or adaptive designs, and the combination of multiple comparison procedures with modeling techniques. Controlling multiplicity in experiments ensures better decision making and safeguards against false claims. A self-contained introduction to multiple comparison procedures, this book offers strategies for constructing the procedures and illustrates the framework for multiple hypotheses testing in general parametric models. It is suitable for readers with R experience but limited knowledge of multiple comparison procedures and vice versa. See Dr. Bretz discuss the book.
This book covers recent advances in efficiency evaluations, most notably Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. It introduces the underlying theories, shows how to make the relevant calculations and discusses applications. The aim is to make the reader aware of the pros and cons of the different methods and to show how to use these methods in both standard and non-standard cases. Several software packages have been developed to solve some of the most common DEA and SFA models. This book relies on R, a free, open source software environment for statistical computing and graphics. This enables the reader to solve not only standard problems, but also many other problem variants. Using R, one can focus on understanding the context and developing a good model. One is not restricted to predefined model variants and to a one-size-fits-all approach. To facilitate the use of R, the authors have developed an R package called Benchmarking, which implements the main methods within both DEA and SFA. The book uses mathematical formulations of models and assumptions, but it de-emphasizes the formal proofs - in part by placing them in appendices -- or by referring to the original sources. Moreover, the book emphasizes the usage of the theories and the interpretations of the mathematical formulations. It includes a series of small examples, graphical illustrations, simple extensions and questions to think about. Also, it combines the formal models with less formal economic and organizational thinking. Last but not least it discusses some larger applications with significant practical impacts, including the design of benchmarking-based regulations of energy companies in different European countries, and the development of merger control programs for competition authorities.
Now in four convenient volumes, Field’s Virology remains the most authoritative reference in this fast-changing field, providing definitive coverage of virology, including virus biology as well as replication and medical aspects of specific virus families.
Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead. To use the book efficiently, readers should have some computer experience. The book starts with the simplest of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences. The book concerns the application of statistical and other computer methods to the management, analysis and display of spatial data. These data are characterised by including locations (geographic coordinates), which leads to the necessity of using maps to display the data and the results of the statistical methods. Although the book uses examples from applied geochemistry, and a large geochemical survey in particular, the principles and ideas equally well apply to other natural sciences, e.g., environmental sciences, pedology, hydrology, geography, forestry, ecology, and health sciences/epidemiology. The book is unique because it supplies direct access to software solutions (based on R, the Open Source version of the S-language for statistics) for applied environmental statistics. For all graphics and tables presented in the book, the R-scripts are provided in the form of executable R-scripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the procedures discussed, and the data employed for their description in the book.
The quality of health care in the US depends on the patient's ability to pay and his or her insurance cover, at an annual cost of $3600 per head of population. In the UK, the quality of care costs less at an annual cost of $1000 per head of population, although care is sometimes delayed through a lack of resources. This book compares the two systems from the viewpoint of primary care, identifying some models of excellence from which both can benefit. It draws on the experience of the NHS reforms in the UK and the political imperative to control costs and improve the service in the US.
Far from a sign of healthy prosperity and contentment, overweight and obesity are now considered high risk factors for a wide range of diseases including early death and disability, heart disease, diabetes, reproductive problems, cancer, breathing problems and arthritis. Obesity, now at epidemic levels in many countries, is defined as an excessively high amount of body fat or adipose tissue in relation to lean body mass. The amount of body fat (or adiposity) includes concern for both the distribution of fat throughout the body and the size of the adipose tissue deposits. This book includes within its scope the causal connection of obesity to diseases as well as the prevention and treatment of obesity. Leading-edge scientific research from throughout the world is presented in this book.
The Rio Summit has pointed to the urgency for the development of an international conservation policy; and the post-Maastricht debates in Europe have highlighted the need for the EU to reassess structural funding in nature conservation, as well as the influences on policy and practice. This book is a 'route map' through the legislative and policy frameworks and explains how conservation works in Europe. It goes through the policies for nature conservation in the European Community and its constituent member states and sets out the mechanisms for delivering this policy. An understanding of the European legislative framework is now vital as its influence on local practice increases. Practitioners in the fields of countryside conservation and general land management will find the book an essential guide to the working of the EU, as well as helping an appreciation of their local role within the wider community objectives. This will, for example allow a better understanding of the grant system which many managers are now using.
This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it applicable for both beginning and advanced students of applied statistics. Generalized linear models (GLMs) are powerful tools in applied statistics that extend the ideas of multiple linear regression and analysis of variance to include response variables that are not normally distributed. As such, GLMs can model a wide variety of data types including counts, proportions, and binary outcomes or positive quantities. The book is designed with the student in mind, making it suitable for self-study or a structured course. Beginning with an introduction to linear regression, the book also devotes time to advanced topics not typically included in introductory textbooks. It features chapter introductions and summaries, clear examples, and many practice problems, all carefully designed to balance theory and practice. The text also provides a working knowledge of applied statistical practice through the extensive use of R, which is integrated into the text. Other features include: • Advanced topics such as power variance functions, saddlepoint approximations, likelihood score tests, modified profile likelihood, small-dispersion asymptotics, and randomized quantile residuals • Nearly 100 data sets in the companion R package GLMsData • Examples that are cross-referenced to the companion data set, allowing readers to load the data and follow the analysis in their own R session
The Routledge Encyclopedia of Second Language Acquisition offers a user-friendly, authoritative survey of terms and constructs that are important to understanding research in second language acquisition (SLA) and its applications. The Encyclopedia is designed for use as a reference tool by students, researchers, teachers and professionals with an interest in SLA. The Encyclopedia has the following features: * 252 alphabetized entries written in an accessible style, including cross references to other related entries in the Encyclopedia and suggestions for further reading * Among these, 9 survey entries that cover the foundational areas of SLA in detail: Development in SLA, Discourse and Pragmatics in SLA, Individual Differences in SLA, Instructed SLA, Language and the Lexicon in SLA, Measuring and Researching SLA, Psycholingustics of SLA, Social and Sociocultural Approaches to SLA, Theoretical Constructs in SLA. * The rest of the entries cover all the major subdisciplines, methodologies and concepts of SLA, from "Accommodation" to the "ZISA project." Written by an international team of specialists, the Routledge Encyclopedia of Second Language Acquisition is an invaluable resource for students and researchers with an academic interest in SLA.
An antidote to technique-orientated approaches, this text avoids the recipe-book style, giving the reader a clear understanding of how core statistical ideas of experimental design, modelling, and data analysis are integral to the scientific method. No prior knowledge of statistics is required and a range of scientific disciplines are covered.
This volume provides the important concepts necessary for a physician to participate in a reengineering process, develop decision-making skills based on probability and logic rather than “rules,” and to measure and analyze meaningful outcomes of care delivery. This approach has been developed over ten years in a medical student-based program and has been enthusiastically embraced by medical students without backgrounds in engineering or statistics. More specifically, this text will introduce physicians to relevant and available computer software, combined with an in depth knowledge of measurement, variation, and uncertainty. It provides a basis for the transformation of data into information, information into knowledge, and knowledge into wisdom. The first quarter of the book will address understanding and visualizing data, using statistical and graphic analysis. The next quarter addresses the fundamentals of applied statistics, and the application of conditional probability to clinical decision making. The next quarter addresses the four “cornerstones” of modern analytics: regression, classification, association analysis, and clustering. The final section addresses the identification of outliers and their importance in understanding, the assessment of cause and effect and the limitations associated with retrospective data analysis. This toolbox will prepare the interested physician to actively engage in the identification of problem areas, the design of process-based solutions, and the continuous assessment of outcomes of clinical practice. Armed with this toolbox, the reader will be “prepared to make a difference” in the rapidly changing world of healthcare delivery. Measurement and Analysis in Transforming Healthcare Delivery is an excellent resource for general practitioners, health administrators, and all medical professionals interacting with healthcare delivery. /div
Well-considered answers to the many questions raised by the situation in Iraq, past and present, are rare. This first comprehensive, thematically organised, bibliography devoted to Iraq is based on the full Index Islamicus database and is drawn from a wide variety of European-language journals and books. Featuring an extensive introduction to the subject and its literature by Peter Sluglett, this bibliography will help readers to find their way through the massive secondary literature now available. Following the pattern established by the Index Islamicus, both journal articles and book publications are included, as well as important internet resources. The editors have taken care to add much new material to bring its coverage up to date, and supplement the previously published volumes, while the most important and/or influential publications are conveniently highlighted in the introduction. An indispensable gateway for all those with a more than superficial interest in what is, and what has been, happening in this nation so much the focus of attention today.
The rise of Asia, as well as the future of regional cooperation and integration (RCI) the world over, will be profoundly influenced by the challenges of slowing productivity growth, increasing economic inequalities and systemic vulnerabilities. Such structural reform issues will require RCI policies that complement domestic policy reform. This unique book explains what drives the regional economic integration of nations and their contribution to national knowledge capital. It also lays out how such beneficial integration can generate broad-based, equitable wealth in Europe and Asia. Unique in the regional economic integration literature, this comprehensive book identifies the set of drivers of integration for productivity growth. Importantly, it describes and compares the experiences of the Baltic Sea Region with Asia’s use of a set of institutionalized consensual knowledge and decision tools to drive inclusive and productive growth throughout a period dominated by the global economic crisis. Original and enlightening, Innovation Networks and the New Asian Regionalism will be vital reading for academics and researchers interested in regional integration and innovation. Policy makers and practitioners in regional development and economic geography will also find it to be an invaluable resource.
The size of government is arguably the most controversial discussion in United States politics, and this issue won't fade from prominence any time soon. There must surely be a tipping point beyond which more government taxing and spending harms the economy, but where is that point? In this accessible book, best-selling authors Jeff Madrick, Jon Bakija, Lane Kenworthy, and Peter Lindert try to answer whether our government can grow any larger and examine how we can optimize growth and fair distribution.
This text is an introduction to the newer features of growth theory that are particularly useful in examining the issues of economic development. Growth theory provides a rich and versatile analytical framework through which fundamental questions about economic development can be examined. Structural transformation, in which developing countries transition from traditional production in largely rural areas to modern production in largely urban areas, is an important causal force in creating early economic growth, and as such, is made central in this approach. Towards this end, the authors augment the Solow model to include endogenous theories of saving, fertility, human capital, institutional arrangements, and policy formation, creating a single two-sector model of structural transformation. Based on applied research and practical experiences in macroeconomic development, the model in this book presents a more rigorous, quantifiable, and explicitly dynamic dual economy approach to development. Common microeconomic foundations and notation are used throughout, with each chapter building on the previous material in a continuous flow. Revised and updated to include more exercises for guided self study, as well as a technical appendix covering required mathematical topics beyond calculus, the second edition is appropriate for both upper undergraduate and graduate students studying development economics and macroeconomics.
This new edition of Inclusive and Adaptive Teaching from bestselling author Peter Westwood continues to provide a range of practical strategies for advancing the learning and development of all students in inclusive classrooms. Drawing on the most recent international research into teaching methods, Westwood presents a range of evidence-based strategies for adapting curriculum content, modifying learning activities and resources, and for making any necessary accommodations during assessment. Revised topics in this third edition include a focus on the implications of diversity and exceptionality, the progress made to date in providing inclusive schooling, a presentation of evidence-based methods for teaching mixed-ability classes and ideas for adapting the curriculum and designing teaching materials. New topics in this revised edition include: • how to support students’ self-determination and autonomy; • LGBTQ+ issues for inclusive schools; • the UK ‘engagement model’ for assessing very low-functioning children; • the concept and purposes of a ‘flipped classroom’; • engaging with a Response-to-Intervention Model; • how to support students in vocational colleges and universities. Each chapter contains an up-to-date list of online and print resources available to teachers who wish to pursue topics in greater depth. This text is an invaluable resource for both practicing and trainee teachers and teaching assistants, as well as school principals, school counsellors and educational psychologists.
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