A Concise Guide to Statistics Paperback / softback
Part of the SpringerBriefs in Statistics series
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 / softback
- Pages: 111 pages, 5 Tables, black and white; 33 Illustrations, black and white; XIII, 111 p. 33 illus.
- Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
- Publication Date: 18/09/2011
- Category: Probability & statistics
- ISBN: 9783642235016
- PDF from £42.49