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Book synopsis

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.

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: Concise Guide to Statistics
• Author: Hans Michael Kaltenbach
• Language: English
• Binding: Paperback
• Number of pages: 111
• EAN: 9783642235016
• ISBN: 3642235018
• ID: 01365738
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 206 g
• Dimensions: 234 × 160 × 8 mm
• Date of publishing: 18. September 2011

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