A Concise Guide to Statistics

✍ Scribed by Hans-Michael Kaltenbach (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2012
• Tongue: English
• Leaves: 118
• Series: SpringerBriefs in Statistics
• Edition: 1
• Category: Library

✦ 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.

✦ Table of Contents

Front Matter....Pages i-xiii
Basics of Probability Theory....Pages 1-27
Estimation....Pages 29-51
Hypothesis Testing....Pages 53-75
Regression....Pages 77-108
Back Matter....Pages 109-111

✦ Subjects

Statistics, general; Statistics for Life Sciences, Medicine, Health Sciences