A Concise Guide to Statistics (Paperback, 2012 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	SpringerBriefs in Statistics
Release date:	October 2011
First published:	2012
Authors:	Hans-Michael Kaltenbach
Dimensions:	235 x 155 x 8mm (L x W x T)
Format:	Paperback
Pages:	111
Edition:	2012 ed.
ISBN-13:	978-3-642-23501-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	3-642-23501-8
Barcode:	9783642235016

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