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Author : Dusan Hadzi-Pavlovic
Publisher :
ISBN 13 :
Total Pages : 214 pages
Book Rating : 4.:/5 (216 download)
Download or read book A Monte Carlo Study of Some Test Statistics in Repeated-measures Designs written by Dusan Hadzi-Pavlovic and published by . This book was released on 1982 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Garrett Kile Mandeville
Publisher :
ISBN 13 :
Total Pages : 596 pages
Book Rating : 4.:/5 (319 download)
Download or read book A Monte Carlo Investigation of the Adequacy of Standard Analysis of Variance Test Procedures for Dependent Binary Variates written by Garrett Kile Mandeville and published by . This book was released on 1969 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Andrew E. Williams
Publisher :
ISBN 13 : 9781109892642
Total Pages : 83 pages
Book Rating : 4.8/5 (926 download)
Download or read book A Monte Carlo Study of a Method for Calculating the Number of Repeated Measures Required to Estimate a Mean Based on Sample Data written by Andrew E. Williams and published by . This book was released on 2006 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: Psychologists draw inferences from the mean of short time series about many phenomena including treatment effects, cognitive functioning, and psychophysiological activation. It is not possible to accurately estimate the magnitude of autocorrelation in short time series (n
Author : Anne Min-hui Ling
Publisher :
ISBN 13 :
Total Pages : 88 pages
Book Rating : 4.:/5 (169 download)
Download or read book A Monte Carlo Study of Comparing Repeated Measures ANOVA and ANCOVA to Analyze the Data from a Pretest/posttest Design Under Violations of the Assumption of Normality written by Anne Min-hui Ling and published by . This book was released on 1987 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John Frederick Draper
Publisher :
ISBN 13 :
Total Pages : 356 pages
Book Rating : 4.3/5 (129 download)
Download or read book A Monte Carlo Investigation of the Analysis of Variance Applied to Non-independent Bernoulli Variates written by John Frederick Draper and published by . This book was released on 1971 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Randall R. Robey
Publisher :
ISBN 13 :
Total Pages : 418 pages
Book Rating : 4.:/5 (143 download)
Download or read book A Monte Carlo Investigation of Type I Error in the Analysis of Variance for the Single Group Repeated Measures Design with Multiple Measures Per Occasion written by Randall R. Robey and published by . This book was released on 1985 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Li-Xing Zhu
Publisher : Springer Science & Business Media
ISBN 13 : 0387290532
Total Pages : 184 pages
Book Rating : 4.3/5 (872 download)
Download or read book Nonparametric Monte Carlo Tests and Their Applications written by Li-Xing Zhu and published by Springer Science & Business Media. This book was released on 2006-04-08 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fundamental issue in statistical analysis is testing the fit of a particular probability model to a set of observed data. Monte Carlo approximation to the null distribution of the test provides a convenient and powerful means of testing model fit. Nonparametric Monte Carlo Tests and Their Applications proposes a new Monte Carlo-based methodology to construct this type of approximation when the model is semistructured. When there are no nuisance parameters to be estimated, the nonparametric Monte Carlo test can exactly maintain the significance level, and when nuisance parameters exist, this method can allow the test to asymptotically maintain the level. The author addresses both applied and theoretical aspects of nonparametric Monte Carlo tests. The new methodology has been used for model checking in many fields of statistics, such as multivariate distribution theory, parametric and semiparametric regression models, multivariate regression models, varying-coefficient models with longitudinal data, heteroscedasticity, and homogeneity of covariance matrices. This book will be of interest to both practitioners and researchers investigating goodness-of-fit tests and resampling approximations. Every chapter of the book includes algorithms, simulations, and theoretical deductions. The prerequisites for a full appreciation of the book are a modest knowledge of mathematical statistics and limit theorems in probability/empirical process theory. The less mathematically sophisticated reader will find Chapters 1, 2 and 6 to be a comprehensible introduction on how and where the new method can apply and the rest of the book to be a valuable reference for Monte Carlo test approximation and goodness-of-fit tests. Lixing Zhu is Associate Professor of Statistics at the University of Hong Kong. He is a winner of the Humboldt Research Award at Alexander-von Humboldt Foundation of Germany and an elected Fellow of the Institute of Mathematical Statistics. From the reviews: "These lecture notes discuss several topics in goodness-of-fit testing, a classical area in statistical analysis. ... The mathematical part contains detailed proofs of the theoretical results. Simulation studies illustrate the quality of the Monte Carlo approximation. ... this book constitutes a recommendable contribution to an active area of current research." Winfried Stute for Mathematical Reviews, Issue 2006 "...Overall, this is an interesting book, which gives a nice introduction to this new and specific field of resampling methods." Dongsheng Tu for Biometrics, September 2006
Author : Peter Paul Vitaliano
Publisher :
ISBN 13 :
Total Pages : 128 pages
Book Rating : 4.:/5 (818 download)
Download or read book A Monte Carlo Study of a Common, and Incorrect, Application of Hotelling's T2 in a Repeated Measures Design written by Peter Paul Vitaliano and published by . This book was released on 1973 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jenine K. Harris
Publisher : SAGE Publications
ISBN 13 : 1506388167
Total Pages : 785 pages
Book Rating : 4.5/5 (63 download)
Download or read book Statistics With R written by Jenine K. Harris and published by SAGE Publications. This book was released on 2019-12-19 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on examples from across the social and behavioral sciences, Statistics With R: Solving Problems Using Real-World Data introduces foundational statistics concepts with beginner-friendly R programming in an exploration of the world’s tricky problems faced by the "R Team" characters.
Author : Frank S Corotto
Publisher : Elsevier
ISBN 13 : 0323952852
Total Pages : 212 pages
Book Rating : 4.3/5 (239 download)
Download or read book Wise Use of Null Hypothesis Tests written by Frank S Corotto and published by Elsevier. This book was released on 2022-10-14 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Few students sitting in their introductory statistics class learn that they are being taught the product of a misguided effort to combine two methods into one. Few students learn that some think the method they are being taught should be banned. Wise Use of Null Hypothesis Tests: A Practitioner’s Handbook follows one of the two methods that were combined: the approach championed by Ronald Fisher. Fisher’s method is simple, intuitive, and immune to criticism. Wise Use of Null Hypothesis Tests is also a user-friendly handbook meant for practitioners. Rather than overwhelming the reader with endless mathematical operations that are rarely performed by hand, the author of Wise Use of Null Hypothesis Tests emphasizes concepts and reasoning. In Wise Use of Null Hypothesis Tests, the author explains what is accomplished by testing null hypotheses—and what is not. The author explains the misconceptions that concern null hypothesis testing. He explains why confidence intervals show the results of null hypothesis tests, performed backwards. Most importantly, the author explains the Big Secret. Many—some say all—null hypotheses must be false. But authorities tell us we should test false null hypotheses anyway to determine the direction of a difference that we know must be there (a topic unrelated to so-called one-tailed tests). In Wise Use of Null Hypothesis Tests, the author explains how to control how often we get the direction wrong (it is not half of alpha) and commit a Type III (or Type S) error. Offers a user-friendly book, meant for the practitioner, not a comprehensive statistics book Based on the primary literature, not other books Emphasizes the importance of testing null hypotheses to decide upon direction, a topic unrelated to so-called one-tailed tests Covers all the concepts behind null hypothesis testing as it is conventionally understood, while emphasizing a superior method Covers everything the author spent 32 years explaining to others: the debate over correcting for multiple comparisons, the need for factorial analysis, the advantages and dangers of repeated measures, and more Explains that, if we test for direction, we are practicing an unappreciated and unnamed method of inference
Author : Hua Fang
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (159 download)
Download or read book A Monte Carlo Study of Power Analysis of Hierarchical Linear Model and Repeated Measures Approaches to Longitudinal Data Analysis written by Hua Fang and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Toshiro Tango
Publisher : CRC Press
ISBN 13 : 1498747906
Total Pages : 376 pages
Book Rating : 4.4/5 (987 download)
Download or read book Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials written by Toshiro Tango and published by CRC Press. This book was released on 2017-09-14 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials is the first book focused on the application of generalized linear mixed models and its related models in the statistical design and analysis of repeated measures from randomized controlled trials. The author introduces a new repeated measures design called S:T design combined with mixed models as a practical and useful framework of parallel group RCT design because of easy handling of missing data and sample size reduction. The book emphasizes practical, rather than theoretical, aspects of statistical analyses and the interpretation of results. It includes chapters in which the author describes some old-fashioned analysis designs that have been in the literature and compares the results with those obtained from the corresponding mixed models. The book will be of interest to biostatisticians, researchers, and graduate students in the medical and health sciences who are involved in clinical trials. Author Website:Data sets and programs used in the book are available at http://www.medstat.jp/downloadrepeatedcrc.html
Author : Gregory R. Hancock
Publisher : Routledge
ISBN 13 : 1317627792
Total Pages : 515 pages
Book Rating : 4.3/5 (176 download)
Download or read book The Reviewer’s Guide to Quantitative Methods in the Social Sciences written by Gregory R. Hancock and published by Routledge. This book was released on 2018-11-15 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Reviewer’s Guide to Quantitative Methods in the Social Sciences provides evaluators of research manuscripts and proposals in the social and behavioral sciences with the resources they need to read, understand, and assess quantitative work. 35 uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The second edition of this valuable resource updates readers on each technique’s key principles, appropriate usage, underlying assumptions and limitations, providing reviewers with the information they need to offer constructive commentary on works they evaluate. Written by methodological and applied scholars, this volume is also an indispensable author’s reference for preparing sound research manuscripts and proposals.
Author : Neil J. Salkind
Publisher : SAGE
ISBN 13 : 1412961270
Total Pages : 1779 pages
Book Rating : 4.4/5 (129 download)
Download or read book Encyclopedia of Research Design written by Neil J. Salkind and published by SAGE. This book was released on 2010-06-22 with total page 1779 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
Author : Scott E. Maxwell
Publisher : Psychology Press
ISBN 13 : 0805837183
Total Pages : 1106 pages
Book Rating : 4.8/5 (58 download)
Download or read book Designing Experiments and Analyzing Data written by Scott E. Maxwell and published by Psychology Press. This book was released on 2004 with total page 1106 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains: "SPSS and SAS data sets fpr ,amu pf tje text exercoses as we;; as titorials reviewing basic statistics and simple and multiple regression."
Author : J. P. Verma
Publisher : John Wiley & Sons
ISBN 13 : 1119052718
Total Pages : 280 pages
Book Rating : 4.1/5 (19 download)
Download or read book Repeated Measures Design for Empirical Researchers written by J. P. Verma and published by John Wiley & Sons. This book was released on 2015-08-31 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces the applications of repeated measures design processes with the popular IBM® SPSS® software Repeated Measures Design for Empirical Researchers presents comprehensive coverage of the formation of research questions and the analysis of repeated measures using IBM SPSS and also includes the solutions necessary for understanding situations where the designs can be used. In addition to explaining the computation involved in each design, the book presents a unique discussion on how to conceptualize research problems as well as identify appropriate repeated measures designs for research purposes. Featuring practical examples from a multitude of domains including psychology, the social sciences, management, and sports science, the book helps readers better understand the associated theories and methodologies of repeated measures design processes. The book covers various fundamental concepts involved in the design of experiments, basic statistical designs, computational details, differentiating independent and repeated measures designs, and testing assumptions. Along with an introduction to IBM SPSS software, Repeated Measures Design for Empirical Researchers includes: A discussion of the popular repeated measures designs frequently used by researchers, such as one-way repeated measures ANOVA, two-way repeated measures design, two-way mixed design, and mixed design with two-way MANOVA Coverage of sample size determination for the successful implementation of designing and analyzing a repeated measures study A step-by-step guide to analyzing the data obtained with real-world examples throughout to illustrate the underlying advantages and assumptions A companion website with supplementary IBM SPSS data sets and programming solutions as well as additional case studies Repeated Measures Design for Empirical Researchers is a useful textbook for graduate- and PhD-level students majoring in biostatistics, the social sciences, psychology, medicine, management, sports, physical education, and health. The book is also an excellent reference for professionals interested in experimental designs and statistical sciences as well as statistical consultants and practitioners from other fields including biological, medical, agricultural, and horticultural sciences. J. P. Verma, PhD, is Professor of Statistics and Director of the Center for Advanced Studies at Lakshmibai National Institute of Physical Education, India. Professor Verma is an active researcher in sports modeling and data analysis and has conducted many workshops on research methodology, research designs, multivariate analysis, statistical modeling, and data analysis for students of management, physical education, social science, and economics. He is the author of Statistics for Exercise Science and Health with Microsoft® Office Excel®, also published by Wiley.
Author : Albert Vexler
Publisher : CRC Press
ISBN 13 : 1315353016
Total Pages : 622 pages
Book Rating : 4.3/5 (153 download)
Download or read book Statistical Testing Strategies in the Health Sciences written by Albert Vexler and published by CRC Press. This book was released on 2017-12-19 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from graphical methods and classical procedures through computationally intensive bootstrap strategies to advanced empirical likelihood techniques. It bridges the gap between theoretical statistical methods and practical procedures applied to the planning and analysis of health-related experiments. The book is organized primarily based on the type of questions to be answered by inference procedures or according to the general type of mathematical derivation. It establishes the theoretical framework for each method, with a substantial amount of chapter notes included for additional reference. It then focuses on the practical application for each concept, providing real-world examples that can be easily implemented using corresponding statistical software code in R and SAS. The book also explains the basic elements and methods for constructing correct and powerful statistical decision-making processes to be adapted for complex statistical applications. With techniques spanning robust statistical methods to more computationally intensive approaches, this book shows how to apply correct and efficient testing mechanisms to various problems encountered in medical and epidemiological studies, including clinical trials. Theoretical statisticians, medical researchers, and other practitioners in epidemiology and clinical research will appreciate the book’s novel theoretical and applied results. The book is also suitable for graduate students in biostatistics, epidemiology, health-related sciences, and areas pertaining to formal decision-making mechanisms.
