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.
Produkteigenschaften
- Artikelnummer: 9783642235016
- Medium: Buch
- ISBN: 978-3-642-23501-6
- Verlag: Springer
- Erscheinungstermin: 18.09.2011
- Sprache(n): Englisch
- Auflage: 2012
- Serie: SpringerBriefs in Statistics
- Produktform: Kartoniert
- Gewicht: 207 g
- Seiten: 111
- Format (B x H x T): 155 x 235 x 8 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Sozialwissenschaften
- Soziologie | Soziale Arbeit
- Soziologie Allgemein
- Empirische Sozialforschung, Statistik
- Sozialwissenschaften
- Soziologie | Soziale Arbeit
- Soziologie Allgemein
- Empirische Sozialforschung, Statistik