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Beschreibung
The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Calculus is assumed as a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.
The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Calculus is assumed as a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.
Inhaltsverzeichnis

1. Introduction to Probability

2. Conditional Probability

3. Random Variables and Distributions

4. Expectation

5. Special Distributions

6. Large Random Samples

7. Estimation

8. Sampling Distributions of Estimators

9. Testing Hypotheses

10. Categorical Data and Nonparametric Methods

11. Linear Statistical Models

Details
Erscheinungsjahr: 2013
Fachbereich: Grundlagen
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781292025049
ISBN-10: 1292025042
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: DeGroot, Morris
Degroot, Morris H.
Schervish, Mark J.
Auflage: 4. Auflage
Hersteller: Pearson
Pearson Business
Pearson Education Limited
Verantwortliche Person für die EU: Financial Times Prent., St.-Martin-Str. 82, D-81541 München, salesde@pearson.com
Maße: 276 x 216 x 45 mm
Von/Mit: Morris DeGroot (u. a.)
Erscheinungsdatum: 30.07.2013
Gewicht: 2,039 kg
Artikel-ID: 110086372

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