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＜電子ブック＞
A Concise Guide to Statistics / by Hans-Michael Kaltenbach
(SpringerBriefs in Statistics. ISSN:21915458)

版	1st ed. 2012.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2012
本文言語	英語
大きさ	XIII, 111 p. 33 illus : online resource
著者標目	*Kaltenbach, Hans-Michael author SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Biometry FREE:Statistics FREE:Biostatistics
一般注記	Basics of Probability Theory -- Estimation -- Hypothesis Testing -- Regression --  References -- Index The text gives a concise introduction into fundamental concepts in statistics. Chapter 1: Short exposition of probability theory, using generic examples. Chapter 2: Estimation in theory and practice, using biologically motivated examples. Maximum-likelihood estimation in covered, including Fisher information and power computations. Methods for calculating confidence intervals and robust alternatives to standard estimators are given. Chapter 3: Hypothesis testing with emphasis on concepts, particularly type-I , type-II errors, and interpreting test results. Several examples are provided. T-tests are used throughout, followed important other tests and robust/nonparametric alternatives. Multiple testing is discussed in more depth, and combination of independent tests is explained. Chapter 4: Linear regression, with computations solely based on R. Multiple group comparisons with ANOVA are covered together with linear contrasts, again using R for computations HTTP:URL=https://doi.org/10.1007/978-3-642-23502-3

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