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Multiple Hypothesenprufung
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Book Synopsis Multiple Hypotheses Testing in the Linear Regression Model with Applications to Economics and Finance by : Raimund Alt
Download or read book Multiple Hypotheses Testing in the Linear Regression Model with Applications to Economics and Finance written by Raimund Alt and published by Cuvillier Verlag. This book was released on 2005 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multiple Testing Procedures with Applications to Genomics by : Sandrine Dudoit
Download or read book Multiple Testing Procedures with Applications to Genomics written by Sandrine Dudoit and published by Springer Science & Business Media. This book was released on 2007-12-18 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. These are applied to a range of problems in biomedical and genomic research, including identification of differentially expressed and co-expressed genes in high-throughput gene expression experiments; tests of association between gene expression measures and biological annotation metadata; sequence analysis; and genetic mapping of complex traits using single nucleotide polymorphisms. The procedures are based on a test statistics joint null distribution and provide Type I error control in testing problems involving general data generating distributions, null hypotheses, and test statistics.
Book Synopsis Multiple Comparisons Using R by : Frank Bretz
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.
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 306 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 for each problem. Discussions also include the connections with bioequivalence, drug stability, and toxicity studies Real data sets analyzed by computer software packages illustrate the applications presented.
Book Synopsis Multiple Hypothesenprüfung / Multiple Hypotheses Testing by : P. Bauer
Download or read book Multiple Hypothesenprüfung / Multiple Hypotheses Testing written by P. Bauer and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Der vorliegende Band faßt die Ergebnisse eines zweitägigen Symposions "Multiple Hypothesenprüfung" am 6. und 7. November 1987 in Gerolstein/ Eifel zusammen. Das Problem der multiplen Hypothesenprüfung stellt sich immer dann, wenn aufgrund eines statistischen Experimentes mehrere Fragestellungen beantwortet werden sollen. Insbesondere innerhalb biologisch-medizi nischer Studien sind häufig mehrere Behandlungen, mehrere Zielgrößen oder Messungen zu mehreren Zeitpunkten zu beurteilen. In der Vergangenheit wurde dem Problem der Multiplizität der Fragestel lungen nicht genügend Beachtung geschenkt. Im deutschsprachigen Raum erschien dieses Thema etwa ab Ende der 70er Jahre vermehrt auf Kongres sen sowie in Veröffentlichungen, ausgelöst durch die Arbeiten von MARCUS, PERITZ und GABRIEL (1976) und HOLM (1979). Besonders durch das Schwerpunkuhema "Simultane Hypothesenprüfung" und die gemein same Publikation der Referate im Rahmen des Biometrischen Seminars im Jahre 1981 in Bad Ischl, Österreich, wurde die Aufmerksamkeit vieler Biometriker auf neuere Entwicklungen in diesem für die Anwendung so wichtigen Bereich gelenkt. In der Folge kam es zu einer intensiven For schungstätigkeit an den verschiedensten Stellen, vorwiegend von Biometr- kern und von Statistikern mit engem Verhältnis zur Biometrie. Es war daher naheliegend zu versuchen, die in diesem Bereich methodisch tätigen Biometriker und Statistiker zu einem intensiven Meinungsaus tausch zusammenzubringen. Dabei sollte eine Bestandsaufnahme vorge nommen und über die Richtung weiterer Entwicklungen diskutiert werden. Schon während des Symposions wurde von emlgen Teilnehmern der Vor schlag gemacht, den Tagungsband in englischer Sprache abzufassen, um IV den Ergebnissen international eine größere Verbreitung zu ermöglichen.
Book Synopsis Multiple Comparisons by : Alan J. Klockars
Download or read book Multiple Comparisons written by Alan J. Klockars and published by SAGE Publications, Incorporated. This book was released on 1986-09 with total page 94 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
Book Synopsis Testing Statistical Hypotheses by : E.L. Lehmann
Download or read book Testing Statistical Hypotheses written by E.L. Lehmann and published by Springer Nature. This book was released on 2022-06-22 with total page 1016 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In addition, an introduction to the theory of resampling methods such as the bootstrap is developed. The sections on multiple testing and goodness of fit testing are expanded. The text is suitable for Ph.D. students in statistics and includes over 300 new problems out of a total of more than 760.
Book Synopsis Multiple Test Procedures and the Closure Principle by : Raimund Alt
Download or read book Multiple Test Procedures and the Closure Principle written by Raimund Alt and published by . This book was released on 1991 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Testing Statistical Hypotheses by : Erich L. Lehmann
Download or read book Testing Statistical Hypotheses written by Erich L. Lehmann and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 795 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In addition, an introduction to the theory of resampling methods such as the bootstrap is developed. The sections on multiple testing and goodness of fit testing are expanded. The text is suitable for Ph.D. students in statistics and includes over 300 new problems out of a total of more than 760.
Download or read book Permutation Tests written by Phillip Good and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step manual on the application of permutation tests in biology, business, medicine, science, and engineering. Its intuitive and informal style make it ideal for students and researchers, whether experienced or coming to these resampling methods for the first time. The real-world problems of missing and censored data, multiple comparisons, nonresponders, after-the-fact covariates, and outliers are all dealt with at length. This new edition has more than 100 additional pages, and includes streamlined statistics for the k-sample comparison and analysis of variance plus expanded sections on computational techniques, multiple comparisons, multiple regression, comparing variances, and testing interactions in balanced designs. The comprehensive author and subject indexes, plus an expert-system guide to methods, provide for further ease of use, while the exercises at the end of every chapter have been supplemented with drills and a number of graduate-level thesis problems.
Book Synopsis Simultaneous Statistical Inference by : Thorsten Dickhaus
Download or read book Simultaneous Statistical Inference written by Thorsten Dickhaus and published by Springer Science & Business Media. This book was released on 2014-01-23 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph will provide an in-depth mathematical treatment of modern multiple test procedures controlling the false discovery rate (FDR) and related error measures, particularly addressing applications to fields such as genetics, proteomics, neuroscience and general biology. The book will also include a detailed description how to implement these methods in practice. Moreover new developments focusing on non-standard assumptions are also included, especially multiple tests for discrete data. The book primarily addresses researchers and practitioners but will also be beneficial for graduate students.
Book Synopsis A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem by : Tejas Desai
Download or read book A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem written by Tejas Desai and published by Springer Science & Business Media. This book was released on 2013-02-26 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: In statistics, the Behrens–Fisher problem is the problem of interval estimation and hypothesis testing concerning the difference between the means of two normally distributed populations when the variances of the two populations are not assumed to be equal, based on two independent samples. In his 1935 paper, Fisher outlined an approach to the Behrens-Fisher problem. Since high-speed computers were not available in Fisher’s time, this approach was not implementable and was soon forgotten. Fortunately, now that high-speed computers are available, this approach can easily be implemented using just a desktop or a laptop computer. Furthermore, Fisher’s approach was proposed for univariate samples. But this approach can also be generalized to the multivariate case. In this monograph, we present the solution to the afore-mentioned multivariate generalization of the Behrens-Fisher problem. We start out by presenting a test of multivariate normality, proceed to test(s) of equality of covariance matrices, and end with our solution to the multivariate Behrens-Fisher problem. All methods proposed in this monograph will be include both the randomly-incomplete-data case as well as the complete-data case. Moreover, all methods considered in this monograph will be tested using both simulations and examples.
Book Synopsis Resampling-Based Multiple Testing by : Peter H. Westfall
Download or read book Resampling-Based Multiple Testing written by Peter H. Westfall and published by John Wiley & Sons. This book was released on 1993-01-12 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combines recent developments in resampling technology (including the bootstrap) with new methods for multiple testing that are easy to use, convenient to report and widely applicable. Software from SAS Institute is available to execute many of the methods and programming is straightforward for other applications. Explains how to summarize results using adjusted p-values which do not necessitate cumbersome table look-ups. Demonstrates how to incorporate logical constraints among hypotheses, further improving power.
Download or read book Hypothesis Testing written by Lee Baker and published by Lee Baker. This book was released on with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you have a degree in statistics, you probably know how to choose the correct statistical hypothesis test and you might not learn anything from this book. Then again, you just might… Kristen Kehrer, who has a Master’s degree in statistics, said: “Lee Baker has developed a wonderful visual aid which, frankly, I wish I had when I was first learning about all the different types of test statistics”. The aid she’s talking about is a statistical test flow chart that I call The Hypothesis Wheel, and is what you’ll learn about in Hypothesis Testing. If you’re one of the 99% of researchers and analysts who use statistics but have never studied it at University, then this book is for you. Hypothesis Testing is a short guide to learning how to ask all the right questions of your data to help you in choosing the correct statistical hypothesis test, aided by The Hypothesis Wheel. It is a snappy little non-threatening book about everything you ever wanted to know (but were afraid to ask) about choosing the correct hypothesis test, answers the most frequently asked questions and inspires you to take the next steps in your journey. First, I’ll explain what statistical hypothesis testing is in simple terms. Then I’ll show you how to write a good hypothesis for your study. You’ll learn the difference between a scientific hypothesis and a statistical hypothesis, and between the Null and Alternative hypotheses. Then I’ll introduce to you the Hypothesis Wheel and show you how to use it to choose the correct hypothesis test for your study, first time, every time. By the time you’ve read Hypothesis Testing, you’ll know as much about choosing hypothesis tests as a statistician with a PhD! Yes, really. I’ve left nothing out! Hypothesis Testing makes no assumptions about your previous experience and is perfect for beginners and those just getting started with analysing data. Discover the world of hypothesis testing and choosing the correct statistical test. Get this book, TODAY!
Book Synopsis Statistical Hypothesis Testing by : Ning-Zhong Shi
Download or read book Statistical Hypothesis Testing written by Ning-Zhong Shi and published by World Scientific Publishing Company. This book was released on 2008-09-29 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents up-to-date theory and methods of statistical hypothesis testing based on measure theory. The so-called statistical space is a measurable space adding a family of probability measures. Most topics in the book will be developed based on this term. The book includes some typical data sets, such as the relation between race and the death penalty verdict, the behavior of food intake of two kinds of Zucker rats, and the per capita income and expenditure in China during the 1978–2002 period. Emphasis is given to the process of finding appropriate statistical techniques and methods of evaluating these techniques.
Book Synopsis Tables for the Use of Range and Studentized Range in Tests of Hypotheses by : H. Leon Harter
Download or read book Tables for the Use of Range and Studentized Range in Tests of Hypotheses written by H. Leon Harter and published by CRC Press. This book was released on 1997-10-27 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: A companion volume to the authors' previous well-received work, the CRC Handbook of Tables for the Use of Order Statistics in Estimation, this handbook discusses testing whether a hypothesis is true or false. Together, these volumes are your complete reference to theory and important tables relating to order statistics and their applications. Once a researcher completes an experiment, the resulting data is assumed to have come from a normal distribution with its mean and variance unknown. The researcher is then presented with a hypothesis testing problem. The use of order statistics and related functions offers a simple, powerful, and interesting approach to solving this problem. This volume presents an introduction to the use of order statistics and explains the various problems and their applications. The role of order statistics in solving these problems is examined, several important statistics are introduced, and their use in addressing testing of hypothesis problems is highlighted. The book also includes numerous tables that facilitate the methods of hypothesis testing using order statistics. Examples are given of the use of these tables in multiple comparison tests, with attention to error rates and sample sizes, and in the analog range of analysis of variance.
Book Synopsis Nonparametric Hypothesis Testing by : Stefano Bonnini
Download or read book Nonparametric Hypothesis Testing written by Stefano Bonnini and published by John Wiley & Sons. This book was released on 2014-07-01 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: A novel presentation of rank and permutation tests, with accessible guidance to applications in R Nonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. This book summarizes traditional rank techniques and more recent developments in permutation testing as robust tools for dealing with complex data with low sample size. Key Features: Examines the most widely used methodologies of nonparametric testing. Includes extensive software codes in R featuring worked examples, and uses real case studies from both experimental and observational studies. Presents and discusses solutions to the most important and frequently encountered real problems in different fields. Features a supporting website (www.wiley.com/go/hypothesis_testing) containing all of the data sets examined in the book along with ready to use R software codes. Nonparametric Hypothesis Testing combines an up to date overview with useful practical guidance to applications in R, and will be a valuable resource for practitioners and researchers working in a wide range of scientific fields including engineering, biostatistics, psychology and medicine.
