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Author : Yoav Benjamini,Frank Bretz,Sanat K. Sarkar
Publisher : IMS
Page : 168 pages
File Size : 48,5 Mb
Release : 2004
Category : Mathematics
ISBN : 0940600633
Author : Anonim
Publisher : Unknown
Page : 156 pages
File Size : 50,7 Mb
Release : 2008
Category : Multiple comparisons (Statistics)
ISBN : OCLC:302369666
This e-book is the product of Project Euclid and its mission to advance scholarly communication in the field of theoretical and applied mathematics and statistics. Project Euclid was developed and deployed by the Cornell University Library and is jointly managed by Cornell and the Duke University Press.
Author : Larry E. Toothaker
Publisher : SAGE
Page : 108 pages
File Size : 45,6 Mb
Release : 1993
Category : Mathematics
ISBN : 0803941773
If you conduct research with more than two groups and want to find out if they are significantly different when compared two at a time, then you need Multiple Comparison Procedures. Using examples to illustrate major concepts, this concise volume is your guide to multiple comparisons. Toothaker thoroughly explains such essential issues as planned vs. post-hoc comparisons, stepwise vs. simultaneous test procedures, types of error rate, unequal sample sizes and variances, and interaction tests vs. cell mean tests.
Author : Fred. M. Hoppe
Publisher : CRC Press
Page : 580 pages
File Size : 45,8 Mb
Release : 2021-10-01
Category : Mathematics
ISBN : 9781000148138
Aims to provide in-depth descriptions of the latest developments in multiple comparison methods and selection procedures, while emphasizing biometry. This text is published in honour of the 70th birthday of Charles W. Dunnett - a pioneer in statistical methodology.
Author : Frank Bretz,Torsten Hothorn,Peter Westfall
Publisher : CRC Press
Page : 202 pages
File Size : 40,6 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781420010909
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.
Author : Martin A. Hamilton
Publisher : Unknown
Page : 12 pages
File Size : 43,7 Mb
Release : 1965
Category : Forests and forestry
ISBN : MINN:31951D02996116H
Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 47,5 Mb
Release : 2007
Category : Electronic
ISBN : OCLC:255714315
Author : S. S. Gupta,D.-Y. Huang
Publisher : Springer Science & Business Media
Page : 113 pages
File Size : 46,6 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461259251
The theory and practice of decision making involves infinite or finite number of actions. The decision rules with a finite number of elements in the action space are the so-called multiple decision procedures. Several approaches to problems of multi ple decisions have been developed; in particular, the last decade has witnessed a phenomenal growth of this field. An important aspect of the recent contributions is the attempt by several authors to formalize these problems more in the framework of general decision theory. In this work, we have applied general decision theory to develop some modified principles which are reasonable for problems in this field. Our comments and contributions have been written in a positive spirt and, hopefully, these will an impact on the future direction of research in this field. Using the various viewpoints and frameworks, we have emphasized recent developments in the theory of selection and ranking ~Ihich, in our opinion, provides one of the main tools in this field. The growth of the theory of selection and ranking has kept apace with great vigor as is evidenced by the publication of two recent books, one by Gibbons, Olkin and Sobel (1977), and the other by Gupta and Panchapakesan (1979). An earlier monograph by Bechhofer, Kiefer and Sobel (1968) had also provided some very interest ing work in this field.
Author : Ajit C. Tamhane
Publisher : John Wiley & Sons
Page : 720 pages
File Size : 45,5 Mb
Release : 2012-09-12
Category : Science
ISBN : 9781118491430
A indispensable guide to understanding and designing modern experiments The tools and techniques of Design of Experiments (DOE) allow researchers to successfully collect, analyze, and interpret data across a wide array of disciplines. Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social sciences. The book supplies a foundation for the subject, beginning with basic concepts of DOE and a review of elementary normal theory statistical methods. Subsequent chapters present a uniform, model-based approach to DOE. Each design is presented in a comprehensive format and is accompanied by a motivating example, discussion of the applicability of the design, and a model for its analysis using statistical methods such as graphical plots, analysis of variance (ANOVA), confidence intervals, and hypothesis tests. Numerous theoretical and applied exercises are provided in each chapter, and answers to selected exercises are included at the end of the book. An appendix features three case studies that illustrate the challenges often encountered in real-world experiments, such as randomization, unbalanced data, and outliers. Minitab® software is used to perform analyses throughout the book, and an accompanying FTP site houses additional exercises and data sets. With its breadth of real-world examples and accessible treatment of both theory and applications, Statistical Analysis of Designed Experiments is a valuable book for experimental design courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for practicing statisticians, engineers, and scientists who would like to further their knowledge of DOE.
Author : Peter H. Westfall,Randall D. Tobias,Russell D. Wolfinger
Publisher : SAS Institute
Page : 645 pages
File Size : 43,9 Mb
Release : 2011
Category : Computers
ISBN : 9781607648857
New and extensively updated for SAS 9 and later, this work provides cutting-edge methods, specialized macros, and proven best bet procedures. The book also discusses the pitfalls and advantages of various methods, thereby helping readers to decide which is the most appropriate for their purposes. 644 pp. Pub. 7/11.
Author : Roger E. Kirk
Publisher : SAGE
Page : 1073 pages
File Size : 45,7 Mb
Release : 2013
Category : Education
ISBN : 9781412974455
Experimental Design: Procedures for Behavioral Sciences, Fourth Edition is a classic text with a reputuation for accessibility and readability. It has been revised and updated to make learning design concepts even easier. Roger E. Kirk shows how three simple experimental designs can be combined to form a variety of complex designs. He provides diagrams illustrating how subjects are assigned to treatments and treatment combinations. New terms are emphasized in boldface type, there are summaries of the advantages and disadvantages of each design, and real-life examples show how the designs are used.
Author : Barry Glaz,Kathleen M. Yeater
Publisher : John Wiley & Sons
Page : 672 pages
File Size : 52,6 Mb
Release : 2020-01-22
Category : Technology & Engineering
ISBN : 9780891183594
Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.
Author : Michael E. Lamb,Marc H. Bornstein
Publisher : Taylor & Francis
Page : 537 pages
File Size : 46,9 Mb
Release : 2013-05-13
Category : Psychology
ISBN : 9781136699665
This new text contains parts of Bornstein and Lamb’s Developmental Science, 6th edition, along with new introductory material, providing a cutting edge and comprehensive overview of social and personality development. Each of the world-renowned contributors masterfully introduces the history and systems, methodologies, and measurement and analytic techniques used to understand the area of human development under review. The relevance of the field is illustrated through engaging applications. Each chapter reflects the current state of knowledge and features an introduction, an overview of the field, a chapter summary, and numerous classical and contemporary references. As a whole, this highly anticipated text illuminates substantive phenomena in social and personality developmental science and its relevance to everyday life. Students and instructors will appreciate the book’s online resources. For each chapter, the website features: chapter outlines; a student reading guide; a glossary of key terms and concepts; and suggested readings with hotlinks to journal articles. Only instructors are granted access to the test bank with multiple-choice, short-answer, and essay questions; PowerPoints with all of the text’s figures and tables; and suggestions for classroom discussion/assignments. The book opens with an introduction to social and personality development as well as an overview of developmental science in general—its history and theory, the cultural orientation to thinking about human development, and the manner in which empirical research is designed, conducted, and analyzed. Part 2 examines personality and social development within the context of the various relationships and situations in which developing individuals function and by which they are shaped. The book concludes with an engaging look at applied developmental psychology in action through a current examination of children and the law. Ways in which developmental thinking and research affect and are affected by practice and social policy are emphasized. Intended for advanced undergraduate and/or graduate level courses on social and personality development taught in departments of psychology, human development, and education, researchers in these areas will also appreciate this book’s cutting-edge coverage.
Author : Fortunato Pesarin,Luigi Salmaso
Publisher : John Wiley & Sons
Page : 448 pages
File Size : 55,8 Mb
Release : 2010-02-25
Category : Mathematics
ISBN : 0470689528
Complex multivariate testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. As a result, modern statistics needs permutation testing for complex data with low sample size and many variables, especially in observational studies. The Authors give a general overview on permutation tests with a focus on recent theoretical advances within univariate and multivariate complex permutation testing problems, this book brings the reader completely up to date with today’s current thinking. Key Features: Examines the most up-to-date methodologies of univariate and multivariate permutation testing. Includes extensive software codes in MATLAB, R and SAS, featuring worked examples, and uses real case studies from both experimental and observational studies. Includes a standalone free software NPC Test Release 10 with a graphical interface which allows practitioners from every scientific field to easily implement almost all complex testing procedures included in the book. Presents and discusses solutions to the most important and frequently encountered real problems in multivariate analyses. A supplementary website containing all of the data sets examined in the book along with ready to use software codes. Together with a wide set of application cases, the Authors present a thorough theory of permutation testing both with formal description and proofs, and analysing real case studies. Practitioners and researchers, working in different scientific fields such as engineering, biostatistics, psychology or medicine will benefit from this book.
Author : Marc H. Bornstein,Michael E. Lamb
Publisher : Psychology Press
Page : 1087 pages
File Size : 54,7 Mb
Release : 2015-07-24
Category : Psychology
ISBN : 9781136282195
Developmental Science: An Advanced Textbook is the most complete and cutting-edge introduction to the field available today. Since its initial publication, the key purpose of the text has been to furnish inclusive developmental perspectives on all substantive areas in psychology—neuroscience, perception, cognition, language, emotion, and social interaction. This edition is no exception, as it continues to underscore the dynamic and exciting status of contemporary developmental science. In this Seventh Edition, Marc H. Bornstein and Michael E. Lamb once again invite international experts to prepare original, comprehensive, and topical treatments of the major areas of developmental science, which are masterfully woven into a single coherent volume. Some chapters in this edition are new, and those carried forward from the sixth edition have been extensively revised. This volume represents faithfully the current status of scholarly efforts in all aspects of developmental science. Ideal for advanced undergraduate and introductory graduate courses, the text is accompanied by a website with supplementary material for students and instructors, including chapter outlines, topics to think about before reading, glossaries, and suggested readings.
