This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.
This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty. Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design. The textbook includes sufficient material for a two-semester course and is intended for master’s students in data science, statistics and computer science with a rudimentary grasp of probability theory. It will also be useful for data science practitioners who want to strengthen their statistics skills.
An up-to-date account of the theory and applications of linear models, for use as a textbook in statistics at graduate level as well as an accompanying text for other courses in which linear models play a part. The authors present a unified theory of inference from linear models with minimal assumptions, not only through least squares theory, but also using alternative methods of estimation and testing based on convex loss functions and general estimating equations. Highlights include: - a special emphasis on sensitivity analysis and model selection; - a chapter devoted to the analysis of categorical data based on logic, loglinear, and logistic regression models; - a chapter devoted to incomplete data sets; - an extensive appendix on matrix theory; - a chapter devoted to the analysis of categorical data based on a unified presentation of generalized linear models including GEE-methods for correlated response; - a chapter devoted to incomplete data sets including regression diagnostics to identify Non-MCAR-processes The material covered is thus invaluable not only to graduates, but also to researchers and consultants in statistics.
The book is based on both authors' several years of experience in teaching linear models at various levels. It gives an up-to-date account of the theory and applications of linear models. The book can be used as a text for courses in statistics at the graduate level and as an accompanying text for courses in other areas. Some of the highlights in this book are as follows. A relatively extensive chapter on matrix theory (Appendix A) provides the necessary tools for proving theorems discussed in the text and offers a selection of classical and modern algebraic results that are useful in research work in econometrics, engineering, and optimization theory. The matrix theory of the last ten years has produced a series of fundamental results about the definiteness of matrices, especially for the differences of matrices, which enable superiority comparisons of two biased estimates to be made for the first time. We have attempted to provide a unified theory of inference from linear models with minimal assumptions. Besides the usual least-squares theory, alternative methods of estimation and testing based on convex loss func tions and general estimating equations are discussed. Special emphasis is given to sensitivity analysis and model selection. A special chapter is devoted to the analysis of categorical data based on logit, loglinear, and logistic regression models. The material covered, theoretical discussion, and its practical applica tions will be useful not only to students but also to researchers and con sultants in statistics.
Revised and updated with the latest results, this Third Edition explores the theory and applications of linear models. The authors present a unified theory of inference from linear models and its generalizations with minimal assumptions. They not only use least squares theory, but also alternative methods of estimation and testing based on convex loss functions and general estimating equations. Highlights of coverage include sensitivity analysis and model selection, an analysis of incomplete data, an analysis of categorical data based on a unified presentation of generalized linear models, and an extensive appendix on matrix theory.
Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference. The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R, as well as supplementary material that will enable the reader to quickly adapt the methods to their own applications.
Humic Substances color all waters more or less brown. Their concentrations exceed all carbon of living organisms by at least one order of magnitude. Opposite to former paradigms, they participate in almost any metabolic pathway. They protect against UV-irradation, enable indirect photolysis and, thus, purify hazardous chemicals, they provide inorganic and organic nutrients, may form cryptic genes with DNA and dampen metabolic fluctuations. More recently they can increase adverse effects of hazardous chemicals and they can directly interfere with organisms. The book tries to relate effects to structural features.
Visitor engagement and learning, outreach, and inclusion are concepts that have long dominated professional museum discourses. The recent rapid uptake of various forms of social media in many parts of the world, however, calls for a reformulation of familiar opportunities and obstacles in museum debates and practices. Young people, as both early adopters of digital forms of communication and latecomers to museums, increasingly figure as a key target group for many museums. This volume presents and discusses the most advanced research on the multiple ways in which social media operates to transform museum communications in countries as diverse as Australia, Denmark, Germany, Norway, the UK, and the United States. It examines the socio-cultural contexts, organizational and education consequences, and methodological implications of these transformations.
If you're a wheelchair-user, you've got a simple choice: either you suck sweets in a corner and watch television all day or you try to change the world around you. There ain't gonna be no magic pill in my day. This is the (mostly) true story of Martin Naughton AKA Michael Collins in a wheelchair. Martin is an agitator. A disruptor. A seeker of justice and planter of (truth) bombs. But will his anarchic quest for equality be derailed by dreams of love and new horizons? Based on the real life of Martin Naughton and his campaign for independence for disabled people in Ireland, No Magic Pill, written by Christian O'Reilly, is a joyful, shameless, no-holds-barred story of one man's fight for justice and love. This edition was published to coincide with the production at Black Box, Galway, and the Civic, Tallaght, for Dublin Theatre Festival in October 2022.
History of Christian Dogma is a translation of Ferdinand Christian Baur's Lehrbuch der christlichen Dogmengeschichte, second edition, 1858. The Lehrbuch, which Baur himself prepared, summarizes in 400 pages his lectures on the history of Christian dogma, published post-humously in four volumes. Baur, professor of theology at the University of Tubingen from 1826 to 1860, brilliantly applied Hegelian categories to his historical studies in New Testament, church history, and history of Christian dogma. According to Baur, "Dogma" is the rational articulation of the Christian "idea" or principle-the idea that God and humanity are united through Christ and reconciled in the faith of the spiritual community. Following an introduction on the concept and history of the history of dogma, the Lehrbuch treats three main periods: the dogma of the ancient church or the substantiality of dogma; the dogma of the Middle Ages or the dogma of inwardly reflected consciousness; and dogma in the modern era or dogma and free self-consciousness. The entire history is a progression in the self-articulation of dogma through conflict and resolution, moving gradually from objective to subjective forms and to the mediation of subject and object by the philosophers and theologians of the early nineteenth century. The detailed analyses provide a wealth of information on individual thinkers and doctrines that is still relevant today.
Associations of marine algae with symbiotic or parasitic microorganisms are ubiquitous phenomena known for a long time. However, there is an almost complete lack of knowledge on details of such interactions. The intention of this study is to use the potentials of modern biological and biochemical techniques in order to analyze the reaction of brown algal hosts to the attack by pathogens and epibionts. A 3-year field study at different localities on the European Atlantic coast revealed that Pylaiella littoralis populations were subject to massive epidemics of the parasites Eurychasma dicksonii, Chytridium polysiphoniae and Anisolpidium rosenvingei. Laboratory cultures were used to investigate the association of Eurychasma and Chytridium with brown algal hosts from different taxonomic groups: Eurychasma has a much broader host range than Chytridium, comprising members of all brown algal orders investigated, and it tolerates a wider range of temperatures than the latter. Phylogenetic studies based upon 18 S rRNA genes revealed that Eurychasma dicksonii belongs to the Oomycota, branching at an ancestral position between terrestrial plant pathogens and free-living members of the marine heterotrophic picoplankton. Chytridium polysiphoniae, a fungus, appears more closely related to the genera Rhizophydium and Spizellomyces (Chytridiomycota) than to other known Chytridium species. Chytridium produces chitin, whilst Eurychasma does not. Early stages of Eurychasma infection have a rather modest effect on host physiology. The photosynthetic capacity is enhanced, suggesting a temporary stimulation of host metabolism for hypertrophic growth. Chytridium, in contrast, has an immediate detrimental effect on host photosynthesis, which breaks down once a cell is infected, leading to the rapid death of infected cells.
Designed for practitioners of organic synthesis, this book helps chemists understand and take advantage of rearrangement reactions to enhance the synthesis of useful chemical compounds. Provides ready access to the genesis, mechanisms, and synthetic utility of rearrangement reactions Emphasizes strategic synthetic planning and implementation Covers 20 different rearrangement reactions Includes applications for synthesizing compounds useful as natural products, medicinal compounds, functional materials, and physical organic chemistry
The intention of the ChiralTEM project (2004-2007) was the detection of electron (energy loss) magnetic chiral dichroism in a transmission electron microscope (TEM), in analogy to X-ray magnetic circular dichroism (XMCD). For the experiments, single-crystal electron transparent specimen's with magnetic induction perpendicular to the specimen's plane are required. In this thesis, different preparation techniques are evaluated regarding their usability to produce ideal specimen's for a verification of EMCD. After the demonstration of a dichroic measurement, an obvious way to prove the chiral effect is to invert the specimen's magnetization from parallel to antiparallel to the electron beam trajectory, leaving all other parameters of the experimental setup unchanged. For this case, one would - according to theory - expect a change in the dichroic signal measured. In the magnetic field of the objective lens of a 300kV TEM, typical ferromagnetic specimens will be close to saturation perpendicular to the specimen's plane. Reversing the current through the coils of the objective lens will then simply invert the magnetization of the specimen. In consequence, any magnetic chiral effect is expected to change sign. A switching unit for Tecnai microscopes has been constructed for save commutation of the lens currents. The direct sensitivity of the dichroic signal to the direction of the magnetization gives evidence to the magnetic origin of the effect.
Two Sides of a Barricade argues that to construct global democracy, conflict and dissent must be taken seriously. Christian Scholl explores the political significance of the confrontations within four sites of interaction: bodies, space, communication, and law. Each site of struggle provides a different entry point to understand the influence of protester and police tactics on each other. At the same time, the four sites of struggle allow a comprehensive analysis of how the contestation of global hegemonic forces during summit protests trigger a preemptive shift in social control through increased deployment of biopolitical forms of power. This book is freely available in an open access edition thanks to Knowledge Unlatched—an initiative that provides libraries and institutions with a centralized platform to support OA collections and from leading publishing houses and OA initiatives. Learn more at the Knowledge Unlatched website at: https://www.knowledgeunlatched.org/, and access the book online at the SUNY Open Access Repository at http://hdl.handle.net/20.500.12648/1709.
A complete guide to the theory and practice of volatility models in financial engineering Volatility has become a hot topic in this era of instant communications, spawning a great deal of research in empirical finance and time series econometrics. Providing an overview of the most recent advances, Handbook of Volatility Models and Their Applications explores key concepts and topics essential for modeling the volatility of financial time series, both univariate and multivariate, parametric and non-parametric, high-frequency and low-frequency. Featuring contributions from international experts in the field, the book features numerous examples and applications from real-world projects and cutting-edge research, showing step by step how to use various methods accurately and efficiently when assessing volatility rates. Following a comprehensive introduction to the topic, readers are provided with three distinct sections that unify the statistical and practical aspects of volatility: Autoregressive Conditional Heteroskedasticity and Stochastic Volatility presents ARCH and stochastic volatility models, with a focus on recent research topics including mean, volatility, and skewness spillovers in equity markets Other Models and Methods presents alternative approaches, such as multiplicative error models, nonparametric and semi-parametric models, and copula-based models of (co)volatilities Realized Volatility explores issues of the measurement of volatility by realized variances and covariances, guiding readers on how to successfully model and forecast these measures Handbook of Volatility Models and Their Applications is an essential reference for academics and practitioners in finance, business, and econometrics who work with volatility models in their everyday work. The book also serves as a supplement for courses on risk management and volatility at the upper-undergraduate and graduate levels.
Christian Koziol shows that various conversion strategies for convertible bonds can be optimal which result in different values for stocks and convertible bonds. A comparative static analysis examines the differences between the properties of the optimal conversion strategies and between the asset values for three conversion variants.
This work is a classic reference text for metallurgists, material scientists and crystallographers. The first edition was published in 1965. The first part of that edition was revised and re-published in 1975 and again in 1981. The present two-part set represents the eagerly awaited full revision by the author of his seminal work, now published as Parts I and II. Professor Christian was one of the founding fathers of materials science and highly respected worldwide. The new edition of his book deserves a place on the bookshelf of every materials science and engineering department. Suitable thermal and mechanical treatments will produce extensive rearrangements of the atoms in metals and alloys, and corresponding marked variations in physical and chemical properties. This book describes how such changes in the atomic configuration are effected, and discusses the associated kinetic and crystallographic features. It deals with areas such as lattice geometry, point defects, dislocations, stacking faults, grain and interphase boundaries, solid solutions, diffusion, etc. The first part covers the general theory while the second part is concerned with descriptions of specific types of transformations.
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