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Design of Comparative Experiments

Design of Comparative Experiments Author R. A. Bailey
ISBN-10 9781139469913
Release 2008-04-17
Pages
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This book should be on the shelf of every practising statistician who designs experiments. Good design considers units and treatments first, and then allocates treatments to units. It does not choose from a menu of named designs. This approach requires a notation for units that does not depend on the treatments applied. Most structure on the set of observational units, or on the set of treatments, can be defined by factors. This book develops a coherent framework for thinking about factors and their relationships, including the use of Hasse diagrams. These are used to elucidate structure, calculate degrees of freedom and allocate treatment subspaces to appropriate strata. Based on a one-term course the author has taught since 1989, the book is ideal for advanced undergraduate and beginning graduate courses. Examples, exercises and discussion questions are drawn from a wide range of real applications: from drug development, to agriculture, to manufacturing.



Comparison of Statistical Experiments

Comparison of Statistical Experiments Author Erik Torgersen
ISBN-10 0521250307
Release 1991-03-14
Pages 675
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There are a number of important questions associated with statistical experiments: when does one given experiment yield more information than another; how can we measure the difference in information; how fast does information accumulate by repeating the experiment? The means of answering such questions has emerged from the work of Wald, Blackwell, LeCam and others and is based on the ideas of risk and deficiency. The present work which is devoted to the various methods of comparing statistical experiments, is essentially self-contained, requiring only some background in measure theory and functional analysis. Chapters introducing statistical experiments and the necessary convex analysis begin the book and are followed by others on game theory, decision theory and vector lattices. The notion of deficiency, which measures the difference in information between two experiments, is then introduced. The relation between it and other concepts, such as sufficiency, randomisation, distance, ordering, equivalence, completeness and convergence are explored. This is a comprehensive treatment of the subject and will be an essential reference for mathematical statisticians.



Statistical Models

Statistical Models Author A. C. Davison
ISBN-10 9781139437417
Release 2003-08-04
Pages
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Models and likelihood are the backbone of modern statistics. This 2003 book gives an integrated development of these topics that blends theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as on more standard topics such as likelihood and linear and generalized linear models. Each chapter contains a wide range of problems and exercises. Practicals in the S language designed to build computing and data analysis skills, and a library of data sets to accompany the book, are available over the Web.



The Design and Statistical Analysis of Animal Experiments

The Design and Statistical Analysis of Animal Experiments Author Simon T. Bate
ISBN-10 9781107030787
Release 2014-03-13
Pages 324
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Written for animal researchers, this book provides a comprehensive guide to the design and statistical analysis of animal experiments. It has long been recognised that the proper implementation of these techniques helps reduce the number of animals needed. By using real-life examples to make them more accessible, this book explains the statistical tools employed by practitioners. A wide range of design types are considered, including block, factorial, nested, cross-over, dose-escalation and repeated measures and techniques are introduced to analyse the experimental data generated. Each analysis technique is described in non-mathematical terms, helping readers without a statistical background to understand key techniques such as t-tests, ANOVA, repeated measures, analysis of covariance, multiple comparison tests, non-parametric and survival analysis. This is also the first text to describe technical aspects of InVivoStat, a powerful open-source software package developed by the authors to enable animal researchers to analyse their data and obtain informative results.



Handbook of Design and Analysis of Experiments

Handbook of Design and Analysis of Experiments Author Angela Dean
ISBN-10 9781466504349
Release 2015-06-26
Pages 960
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Handbook of Design and Analysis of Experiments provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook gives a unified treatment of a wide range of topics, covering the latest developments. This carefully edited collection of 25 chapters in seven sections synthesizes the state of the art in the theory and applications of designed experiments and their analyses. Written by leading researchers in the field, the chapters offer a balanced blend of methodology and applications. The first section presents a historical look at experimental design and the fundamental theory of parameter estimation in linear models. The second section deals with settings such as response surfaces and block designs in which the response is modeled by a linear model, the third section covers designs with multiple factors (both treatment and blocking factors), and the fourth section presents optimal designs for generalized linear models, other nonlinear models, and spatial models. The fifth section addresses issues involved in designing various computer experiments. The sixth section explores "cross-cutting" issues relevant to all experimental designs, including robustness and algorithms. The final section illustrates the application of experimental design in recently developed areas. This comprehensive handbook equips new researchers with a broad understanding of the field’s numerous techniques and applications. The book is also a valuable reference for more experienced research statisticians working in engineering and manufacturing, the basic sciences, and any discipline that depends on controlled experimental investigation.



Data Analysis and Graphics Using R

Data Analysis and Graphics Using R Author John Maindonald
ISBN-10 9781139486675
Release 2010-05-06
Pages
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Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates. Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practising statisticians. It is both for learning and for reference. This third edition expands upon topics such as Bayesian inference for regression, errors in variables, generalized linear mixed models, and random forests.



Surveys in Combinatorics 2017

Surveys in Combinatorics 2017 Author Anders Claesson
ISBN-10 9781108413138
Release 2017-06-30
Pages
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Surveys in Combinatorics 2017 has been writing in one form or another for most of life. You can find so many inspiration from Surveys in Combinatorics 2017 also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Surveys in Combinatorics 2017 book for free.



Topics in Structural Graph Theory

Topics in Structural Graph Theory Author Lowell W. Beineke
ISBN-10 9781107244306
Release 2012-11-08
Pages
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The rapidly expanding area of structural graph theory uses ideas of connectivity to explore various aspects of graph theory and vice versa. It has links with other areas of mathematics, such as design theory and is increasingly used in such areas as computer networks where connectivity algorithms are an important feature. Although other books cover parts of this material, none has a similarly wide scope. Ortrud R. Oellermann (Winnipeg), internationally recognised for her substantial contributions to structural graph theory, acted as academic consultant for this volume, helping shape its coverage of key topics. The result is a collection of thirteen expository chapters, each written by acknowledged experts. These contributions have been carefully edited to enhance readability and to standardise the chapter structure, terminology and notation throughout. An introductory chapter details the background material in graph theory and network flows and each chapter concludes with an extensive list of references.



Brownian Motion

Brownian Motion Author T. Hida
ISBN-10 9781461260301
Release 2012-12-06
Pages 327
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Following the publication of the Japanese edition of this book, several inter esting developments took place in the area. The author wanted to describe some of these, as well as to offer suggestions concerning future problems which he hoped would stimulate readers working in this field. For these reasons, Chapter 8 was added. Apart from the additional chapter and a few minor changes made by the author, this translation closely follows the text of the original Japanese edition. We would like to thank Professor J. L. Doob for his helpful comments on the English edition. T. Hida T. P. Speed v Preface The physical phenomenon described by Robert Brown was the complex and erratic motion of grains of pollen suspended in a liquid. In the many years which have passed since this description, Brownian motion has become an object of study in pure as well as applied mathematics. Even now many of its important properties are being discovered, and doubtless new and useful aspects remain to be discovered. We are getting a more and more intimate understanding of Brownian motion.



Experimental Design and Data Analysis for Biologists

Experimental Design and Data Analysis for Biologists Author Gerry P. Quinn
ISBN-10 9781139432894
Release 2002-03-21
Pages
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An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques, including classification and ordination, are then introduced. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature. The book is supported by a website that provides all data sets, questions for each chapter and links to software.



Statistical Principles for the Design of Experiments

Statistical Principles for the Design of Experiments Author R. Mead
ISBN-10 9781139576642
Release 2012-09-13
Pages
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This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project. Based on Roger Mead's excellent Design of Experiments, this new edition is thoroughly revised and updated to include modern methods relevant to applications in industry, engineering and modern biology. It also contains seven new chapters on contemporary topics, including restricted randomisation and fractional replication.



Encyclopedia of Research Design

Encyclopedia of Research Design Author Neil J. Salkind
ISBN-10 9781412961271
Release 2010-06-22
Pages 1776
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"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.



Comparative Politics

Comparative Politics Author Jeffrey Kopstein
ISBN-10 9781139991384
Release 2014-07-21
Pages
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Twelve in-depth case studies of the EU and countries across the globe, written by the leading country specialists and combining insights of cutting-edge institutional analysis and deep study of national histories, explore how the concepts of interests, identities and institutions shape the politics of nations and regions. The country studies trace the global and historical contexts of political development and examine the diverse pathways that countries have taken in their quest to adapt to the competitive pressures of twenty-first-century globalization. These country studies constitute the overarching framework of the text, addressing the larger question, 'why are countries ruled and governed so differently?' Free of heavy-handed jargon, Comparative Politics inspires thought-provoking debate among introductory students and specialists alike, and encourages students to engage in real comparative analysis. In this new edition, all twelve country studies have been rewritten, and the first two theory chapters have been updated to reflect the latest research in the field.



Statistical Methods for Comparative Studies

Statistical Methods for Comparative Studies Author Sharon Roe Anderson
ISBN-10 9780470317204
Release 2009-09-25
Pages 289
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Brings together techniques for the design and analysis of comparative studies. Methods include multivariate matching, standardization and stratification, analysis of covariance, logit analysis, and log linear analysis. Quantitatively assesses techniques' effectiveness in reducing bias. Discusses hypothesis testing, survival analysis, repeated measure design, and causal inference from comparative studies.



Causal Inference for Statistics Social and Biomedical Sciences

Causal Inference for Statistics  Social  and Biomedical Sciences Author Guido W. Imbens
ISBN-10 9781316094396
Release 2015-04-06
Pages
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Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding to the outcome that would be realized if a subject were exposed to a particular treatment or regime. In this approach, causal effects are comparisons of such potential outcomes. The fundamental problem of causal inference is that we can only observe one of the potential outcomes for a particular subject. The authors discuss how randomized experiments allow us to assess causal effects and then turn to observational studies. They lay out the assumptions needed for causal inference and describe the leading analysis methods, including matching, propensity-score methods, and instrumental variables. Many detailed applications are included, with special focus on practical aspects for the empirical researcher.



Asymptotics in Statistics

Asymptotics in Statistics Author Lucien Le Cam
ISBN-10 9781461211662
Release 2012-12-06
Pages 287
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This is the second edition of a coherent introduction to the subject of asymptotic statistics as it has developed over the past 50 years. It differs from the first edition in that it is now more 'reader friendly' and also includes a new chapter on Gaussian and Poisson experiments, reflecting their growing role in the field. Most of the subsequent chapters have been entirely rewritten and the nonparametrics of Chapter 7 have been amplified. The volume is not intended to replace monographs on specialized subjects, but will help to place them in a coherent perspective. It thus represents a link between traditional material - such as maximum likelihood, and Wald's Theory of Statistical Decision Functions -- together with comparison and distances for experiments. Much of the material has been taught in a second year graduate course at Berkeley for 30 years.



Law and Custom in Korea

Law and Custom in Korea Author Marie Seong-Hak Kim
ISBN-10 9781139536349
Release 2012-08-27
Pages
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This book sets forth the evolution of Korea's law and legal system from the Chosǒn dynasty through the colonial and postcolonial modern periods. This is the first book in English that comprehensively studies Korean legal history in comparison with European legal history, with particular emphasis on customary law. Korea's passage to Romano-German civil law under Japanese rule marked a drastic departure from its indigenous legal tradition. The transplantation of modern civil law in Korea was facilitated by Japanese colonial jurists who created a Korean customary law; this constructed customary law served as an intermediary regime between tradition and the demands of modern law. The transformation of Korean law by the forces of Westernisation points to new interpretations of colonial history and presents an intriguing case for investigating the spread of law on a global level. In-depth discussions of French customary law and Japanese legal history also provide a solid conceptual framework suitable for comparing European and East Asian legal traditions.