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A Concise Guide to Statistics

A Concise Guide to Statistics
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Field name Details
Dewey Class 519.5
Title A Concise Guide to Statistics ([Ebook]) / by Hans-Michael Kaltenbach.
Author Kaltenbach, Hans-Michael
Other name(s) SpringerLink (Online service)
Publication Berlin, Heidelberg : Springer , 2012.
Physical Details XIII, 111 pages: 33 illus. : online resource.
Series SpringerBriefs in Statistics
ISBN 9783642235023
Summary Note 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.:
Contents note Basics of Probability Theory -- Estimation -- Hypothesis Testing -- Regression -- References -- Index.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site http://dx.doi.org/10.1007/978-3-642-23502-3
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