Автор: Good Phillip I Название: Introduction to Statistics Through Resampling Methods and R ISBN: 1118428218 ISBN-13(EAN): 9781118428214 Издательство: Wiley Рейтинг: Цена: 8862.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A highly accessible alternative approach to basic statistics Praise for the First Edition: "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see... it would make a good nightstand book for every statistician.
Описание: Learn statistical methods quickly and easily with the discovery method With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote.
Описание: "Peter [Bruce] has provided relevant, newsworthy and interesting examples, and, he has the reader doing all sorts of experiments ... for getting the feel of the statistical process. I believe the topics cover the waterfront of what a primer should consist of. " From a User at Statistics.
Автор: Dudoit Название: Multiple Testing Procedures with Applications to Genomics ISBN: 0387493166 ISBN-13(EAN): 9780387493169 Издательство: Springer Рейтинг: Цена: 28734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. The methods are applied to a range of testing problems in biomedical and genomic research, including the identification of differentially expressed and co-expressed genes in high-throughput gene expression experiments, such as microarray experiments; tests of association between gene expression measures and biological annotation metadata (e.g., Gene Ontology); sequence analysis; and the genetic mapping of complex traits using single nucleotide polymorphisms. The book is aimed at both statisticians interested in multiple testing theory and applied scientists encountering high-dimensional testing problems in their subject matter area. Specifically, the book proposes resampling-based single-step and stepwise multiple testing procedures for controlling a broad class of Type I error rates, defined as tail probabilities and expected values for arbitrary functions of the numbers of Type I errors and rejected hypotheses (e.g., false discovery rate). Unlike existing approaches, 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 (with arbitrary dependence structures among variables), null hypotheses, and test statistics. The multiple testing results are reported in terms of rejection regions, parameter confidence regions, and adjusted p-values.
Distribution-free resampling methods--permutation tests, decision trees, and the bootstrap--are used today in virtually every research area. A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap to estimate the precision of sample-based estimates and to determine sample size, data permutations to test hypotheses, and the readily-interpreted decision tree to replace arcane regression methods.
Highlights
Each chapter contains dozens of thought provoking questions, along with applicable R and Stata code
Methods are illustrated with examples from agriculture, audits, bird migration, clinical trials, epidemiology, image processing, immunology, medicine, microarrays and gene selection
Lists of commercially available software for the bootstrap, decision trees, and permutation tests are incorporated in the text
Access to APL, MATLAB, and SC code for many of the routines is provided on the author's website
The text covers estimation, two-sample and k-sample univariate, and multivariate comparisons of means and variances, sample size determination, categorical data, multiple hypotheses, and model building
Statistics practitioners will find the methods described in the text easy to learn and to apply in a broad range of subject areas from A for Accounting, Agriculture, Anthropology, Aquatic science, Archaeology, Astronomy, and Atmospheric science to V for Virology and Vocational Guidance, and Z for Zoology.
Practitioners and research workers and in the biomedical, engineering and social sciences, as well as advanced students in biology, business, dentistry, medicine, psychology, public health, sociology, and statistics will find an easily-grasped guide to estimation, testing hypotheses and model building.
Автор: Bose Название: U-Statistics, Mm-Estimators and Resampling ISBN: 9811322473 ISBN-13(EAN): 9789811322471 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R.
Автор: Arup Bose; Snigdhansu Chatterjee Название: U-Statistics, Mm-Estimators and Resampling ISBN: 9811347565 ISBN-13(EAN): 9789811347566 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Поставка под заказ.
Описание: This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It covers the basics of U-statistics and Mm-estimators and develops their asymptotic properties. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R.
Автор: S. N. Lahiri Название: Resampling Methods for Dependent Data ISBN: 1441918485 ISBN-13(EAN): 9781441918482 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: By giving a detailed account of bootstrap methods and their properties for dependent data, this book provides illustrative numerical examples throughout.
Автор: Sandrine Dudoit; Mark J. van der Laan Название: Multiple Testing Procedures with Applications to Genomics ISBN: 1441923799 ISBN-13(EAN): 9781441923790 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: P. Bauer; G. Hommel; E. Sonnemann Название: Multiple Hypothesenpr?fung / Multiple Hypotheses Testing ISBN: 3540505598 ISBN-13(EAN): 9783540505594 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Der vorliegende Band fat die Ergebnisse eines zweitagigen Symposions "Multiple Hypothesenprufung" am 6. und 7. November 1987 in Gerolstein/ Eifel zusammen. Das Problem der multiplen Hypothesenprufung stellt sich immer dann, wenn aufgrund eines statistischen Experimentes mehrere Fragestellungen beantwortet werden sollen. Insbesondere innerhalb biologisch-medizi- nischer Studien sind haufig mehrere Behandlungen, mehrere Zielgroen oder Messungen zu mehreren Zeitpunkten zu beurteilen. In der Vergangenheit wurde dem Problem der Multiplizitat der Fragestel- lungen nicht genugend Beachtung geschenkt. Im deutschsprachigen Raum erschien dieses Thema etwa ab Ende der 70er Jahre vermehrt auf Kongres- sen sowie in Veroffentlichungen, ausgelost durch die Arbeiten von MARCUS, PERITZ und GABRIEL (1976) und HOLM (1979). Besonders durch das Schwerpunkuhema "Simultane Hypothesenprufung" und die gemein- same Publikation der Referate im Rahmen des Biometrischen Seminars im Jahre 1981 in Bad Ischl, Osterreich, wurde die Aufmerksamkeit vieler Biometriker auf neuere Entwicklungen in diesem fur die Anwendung so wichtigen Bereich gelenkt. In der Folge kam es zu einer intensiven For- schungstatigkeit an den verschiedensten Stellen, vorwiegend von Biometr- kern und von Statistikern mit engem Verhaltnis zur Biometrie. Es war daher naheliegend zu versuchen, die in diesem Bereich methodisch tatigen Biometriker und Statistiker zu einem intensiven Meinungsaus- tausch zusammenzubringen. Dabei sollte eine Bestandsaufnahme vorge- nommen und uber die Richtung weiterer Entwicklungen diskutiert werden. Schon wahrend des Symposions wurde von emlgen Teilnehmern der Vor- schlag gemacht, den Tagungsband in englischer Sprache abzufassen, um IV den Ergebnissen international eine groere Verbreitung zu ermoglichen.
Автор: Aiken, L.,Reno.R.,West,S. Название: Multiple regression:testing and interpreting interaction ISBN: 0761907122 ISBN-13(EAN): 9780761907121 Издательство: Sage Publications Рейтинг: Цена: 13306.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This successful book, now available in paperback, provides academics and researchers with a clear set of prescriptions for estimating, testing and probing interactions in regression models. Including the latest research in the area, such as Fuller′s work on the corrected/constrained estimator, the book is appropriate for anyone who uses multiple regression to estimate models, or for those enrolled in courses on multivariate statistics.
Описание: It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
