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Author : Erwin Louis LeClerg
Publisher :
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4.F/5 ( download)
Download or read book Mean Separation by the Functional Analysis of Variance and Multiple Comparisons written by Erwin Louis LeClerg and published by . This book was released on 1957 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Erwin Louis LeClerg
Publisher :
ISBN 13 :
Total Pages : 33 pages
Book Rating : 4.:/5 (58 download)
Download or read book Mean Separation by the Functional Analysis of Variance and Multiple Comparisons written by Erwin Louis LeClerg and published by . This book was released on 1957 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Erwin Louis Leclerg
Publisher : Forgotten Books
ISBN 13 : 9781390340884
Total Pages : 42 pages
Book Rating : 4.3/5 (48 download)
Download or read book Mean Separation by the Functional Analysis of Variance and Multiple Comparisons (Classic Reprint) written by Erwin Louis Leclerg and published by Forgotten Books. This book was released on 2018-09-13 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: Excerpt from Mean Separation by the Functional Analysis of Variance and Multiple Comparisons Before a discussion of the procedures for the evaluation of an array of means is given, consideration of the testing of statistical hypotheses is desirable. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Author :
Publisher :
ISBN 13 :
Total Pages : 33 pages
Book Rating : 4.:/5 (979 download)
Download or read book Mean Separation by Functional Analysis of Variance and Multiple Comparisons [with List of Literature Cited written by and published by . This book was released on 1957 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : E. L. LeClerg
Publisher :
ISBN 13 :
Total Pages : 33 pages
Book Rating : 4.:/5 (14 download)
Download or read book Mean separation by the functional analysis of variance and multiple comparisons written by E. L. LeClerg and published by . This book was released on 1957 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Larry E. Toothaker
Publisher : SAGE
ISBN 13 : 9780803941779
Total Pages : 108 pages
Book Rating : 4.9/5 (417 download)
Download or read book Multiple Comparison Procedures written by Larry E. Toothaker and published by SAGE. This book was released on 1993 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Alan J. Klockars
Publisher : SAGE
ISBN 13 : 9780803920514
Total Pages : 92 pages
Book Rating : 4.9/5 (25 download)
Download or read book Multiple Comparisons written by Alan J. Klockars and published by SAGE. This book was released on 1986-09 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes the most important methods used to investigate differences between levels of an independent variable within an experimental design. Readers will learn not only how to conduct multiple comparisons in experimental designs but also how to better understand and evaluate published research. "A highly readable introduction to multiple comparison methods, which demands little from its reader in the way of background other than some familiarity with analysis of variance." --The Statistician
Author : Daniel Navarro
Publisher : Lulu.com
ISBN 13 : 1326189727
Total Pages : 617 pages
Book Rating : 4.3/5 (261 download)
Download or read book Learning Statistics with R written by Daniel Navarro and published by Lulu.com. This book was released on 2013-01-13 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Author : David J. Weiss
Publisher : Oxford University Press
ISBN 13 : 0195183150
Total Pages : 278 pages
Book Rating : 4.1/5 (951 download)
Download or read book Analysis of Variance and Functional Measurement written by David J. Weiss and published by Oxford University Press. This book was released on 2006 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a clear and straightforward guide to analysis of variance, the backbone of experimental research. It will show you how to interpret statistical results and translate them into prose that will clearly tell your audience what your data is saying. To help you become familiar with the techniques used in analysis of variance, there are plenty of end-of-chapter practice problems with suggested answers. As life in the laboratory doesnt always follow a script, there are both new and established techniques for coping with situations that deviate from the norm. Data analysis is not a closed subject, so there are pros and cons for the varied situations you will encounter. The final chapter gives the first elementary presentation of functional measurement, or information integration theory, a methodology built upon analysis of variance that is a powerful technique for studying cognitive processes. The accompanying CD contains CALSTAT, analysis of variance software that is easy to use (really!). In addition to programs for standard analysis, the software includes several specialized routines that have heretofore been presented only in journals. Analysis of Variance is an important resource for students and professionals in the social, behavioral, and neurosciences.
Author : Victor Chew
Publisher :
ISBN 13 :
Total Pages : 72 pages
Book Rating : 4.:/5 (319 download)
Download or read book Comparisons Among Treatment Means in an Analysis of Variance written by Victor Chew and published by . This book was released on 1977 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Taka-aki Shiraishi
Publisher : Springer Nature
ISBN 13 : 9811500665
Total Pages : 107 pages
Book Rating : 4.8/5 (115 download)
Download or read book Pairwise Multiple Comparisons written by Taka-aki Shiraishi and published by Springer Nature. This book was released on 2019-09-30 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing closed testing procedures based on maximum absolute values of some two-sample t-test statistics and on F-test statistics in homoscedastic multi-sample models. It shows that (1) the multi-step procedures are more powerful than single-step procedures and the Ryan/Einot–Gabriel/Welsh tests, and (2) the confidence regions induced by the multi-step procedures are equivalent to simultaneous confidence intervals. Next, it describes the multi-step test procedure in heteroscedastic multi-sample models, which is superior to the single-step Games–Howell procedure. In the context of simple ordered restrictions of means, the authors also discuss closed testing procedures based on maximum values of two-sample one-sided t-test statistics and based on Bartholomew's statistics. Furthermore, the book presents distribution-free procedures and describes simulation studies performed under the null hypothesis and some alternative hypotheses. Although single-step multiple comparison procedures are generally used, the closed testing procedures described are more powerful than the single-step procedures. In order to execute the multiple comparison procedures, the upper 100α percentiles of the complicated distributions are required. Classical integral formulas such as Simpson's rule and the Gaussian rule have been used for the calculation of the integral transform that appears in statistical calculations. However, these formulas are not effective for the complicated distribution. As such, the authors introduce the sinc method, which is optimal in terms of accuracy and computational cost.
Author : Jason Hsu
Publisher : CRC Press
ISBN 13 : 1482221276
Total Pages : 292 pages
Book Rating : 4.4/5 (822 download)
Download or read book Multiple Comparisons written by Jason Hsu and published by CRC Press. This book was released on 1996-02-01 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control. The author describes confidence intervals methods and stepwise exposes abuses and misconceptions, and guides readers to the correct method
Author : James H. Bray
Publisher : SAGE
ISBN 13 : 9780803923102
Total Pages : 84 pages
Book Rating : 4.9/5 (231 download)
Download or read book Multivariate Analysis of Variance written by James H. Bray and published by SAGE. This book was released on 1985 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bray's monograph considers the multivariate form of analysis of variance (MANOVA). It is a technique which can be used in such different academic disciplines as psychology, sociology, biology, and education.
Author : United States. Agricultural Research Service
Publisher :
ISBN 13 :
Total Pages : 76 pages
Book Rating : 4.E/5 ( download)
Download or read book ARS-H. written by United States. Agricultural Research Service and published by . This book was released on 1972 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ronald Christensen
Publisher : CRC Press
ISBN 13 : 9780412062919
Total Pages : 608 pages
Book Rating : 4.0/5 (629 download)
Download or read book Analysis of Variance, Design, and Regression written by Ronald Christensen and published by CRC Press. This book was released on 1996-06-01 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents a comprehensive treatment of basic statistical methods and their applications. It focuses on the analysis of variance and regression, but also addressing basic ideas in experimental design and count data. The book has four connecting themes: similarity of inferential procedures, balanced one-way analysis of variance, comparison of models, and checking assumptions. Most inferential procedures are based on identifying a scalar parameter of interest, estimating that parameter, obtaining the standard error of the estimate, and identifying the appropriate reference distribution. Given these items, the inferential procedures are identical for various parameters. Balanced one-way analysis of variance has a simple, intuitive interpretation in terms of comparing the sample variance of the group means with the mean of the sample variance for each group. All balanced analysis of variance problems are considered in terms of computing sample variances for various group means. Comparing different models provides a structure for examining both balanced and unbalanced analysis of variance problems and regression problems. Checking assumptions is presented as a crucial part of every statistical analysis. Examples using real data from a wide variety of fields are used to motivate theory. Christensen consistently examines residual plots and presents alternative analyses using different transformation and case deletions. Detailed examination of interactions, three factor analysis of variance, and a split-plot design with four factors are included. The numerous exercises emphasize analysis of real data. Senior undergraduate and graduate students in statistics and graduate students in other disciplines using analysis of variance, design of experiments, or regression analysis will find this book useful.
Author : Frank Bretz
Publisher : CRC Press
ISBN 13 : 1420010905
Total Pages : 202 pages
Book Rating : 4.4/5 (2 download)
Download or read book Multiple Comparisons Using R written by Frank Bretz and published by CRC Press. This book was released on 2016-04-19 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Jiro Nagatomi
Publisher : CRC Press
ISBN 13 : 042981674X
Total Pages : 705 pages
Book Rating : 4.4/5 (298 download)
Download or read book Mechanobiology Handbook, Second Edition written by Jiro Nagatomi and published by CRC Press. This book was released on 2018-12-07 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mechanobiology—the study of the effects of mechanics on biological events—has evolved to answer numerous research questions. Mechanobiology Handbook 2nd Edition is a reference book for engineers, scientists, and clinicians who are interested in mechanobiology and a textbook for senior undergraduate to graduate level students of this growing field. Readers will gain a comprehensive review of recent research findings as well as elementary chapters on solid mechanics, fluid mechanics, and molecular analysis techniques. The new edition presents, in addition to the chapters of the first edition, homework problem sets that are available online and reviews of research in uncovered areas. Moreover, the new edition includes chapters on statistical analysis, design of experiments and optical imaging. The editors of this book are researchers and educators in mechanobiology. They realized a need for a single volume to assist course instructors as a guide for didactic teaching of mechanobiology to a diverse student body. A mechanobiology course is frequently made up of both undergraduate and graduate students pursuing degrees in engineering, biology, or integrated engineering and biology. Their goal was to present both the elementary and cutting-edge aspects of mechanobiology in a manner that is accessible to students from many different academic levels and from various disciplinary backgrounds. Moreover, it is their hope that the readers of Mechanobiology Handbook 2nd Edition will find study questions at the end of each chapter useful for long-term learning and further discussion. Comprehensive collection of reviews of recent research Introductory materials in mechanics, biology, and statistics Discussion of pioneering and emerging mechanobiology concepts Presentation of cutting-edge mechanobiology research findings across various fields and organ systems End of chapter study questions, available online Considering the complexity of the mechanics and the biology of the human body, most of the world of mechanobiology remains to be studied. Since the field is still developing, the Mechanobiology Handbook raises many different viewpoints and approaches with the intention of stimulating further research endeavours.
