Statistical Inference

2. Auflage 2002
ISBN: 978-0-19-857226-8
Verlag: OUP Oxford

Buch, Englisch, 342 Seiten, Print PDF, Format (B × H): 161 mm x 240 mm, Gewicht: 678 g

Adopting a broad view of statistical inference, this text concentrates on what various techniques do, with mathematical proofs kept to a minimum. The approach is rigorous, but will be accessible to final year undergraduates. Classical approaches to point estimation, hypothesis testing and interval estimation are all covered thoroughly, with recent developments outlined. Separate chapters are devoted to Bayesian inference, to decision theory and to non-parametric and robust inference. The increasingly important topics of computationally intensive methods and generalised linear models are also included. In this edition, the material on recent developments has been updated, and additional exercises are included in most chapters.

Autoren/Hrsg.

Garthwaite, Paul

Jolliffe, Ian

Jones, Byron

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

- 1: Introduction

- 2: Properties of estimators

- 3: Maximum likelihood and other methods of estimation

- 4: Hypothesis testing

- 5: Interval estimation

- 6: The decision theory approach to inference

- 7: Bayesian inference

- 8: Non-parametric and robust inference

- 9: Computationally intensive methods

- 10: Generalised linear models