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.
| ISBN: | 9783642235016 |
| Publication date: | 18th September 2011 |
| Author: | HansMichael Kaltenbach |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 111 pages |
| Series: | SpringerBriefs in Statistics |
| Genres: |
Probability and statistics |
The text gives a concise introduction into fundamental concepts in statistics. Chapter 1: Short exposition of probability theory, using generic examples.
A Concise Guide to Statistics features in the following genres: Probability and statistics
Paperback. Not Available.
A Concise Guide to Statistics was written by HansMichael Kaltenbach and published by Springer an imprint of Springer Berlin Heidelberg
A Concise Guide to Statistics has 111 pages
Yes it is part of SpringerBriefs in Statistics series