A Concise Guide to Statistics

By Hans-Michael Kaltenbach and Kaltenbach

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.

• Format: Paperback
• Language: English
• ISBN: 3642235018
• ISBN13: 9783642235016
• Release Date: September 2011
• Publisher: Springer
• Length: 111 Pages
• Weight: 0.42 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"