G. A. Young (Technology Imperial College of Science and Medicine, R. L. Smith (Chapel Hill University of North Carolina)

Essentials of Statistical Inference

• Broschiertes Buch

Produktbeschreibung

Written for advanced undergraduates and graduate students in mathematics and related disciplines, this book explains the main approaches to statistical inference, with particular emphasis on the contrasts between them. It is the first textbook to synthesize material on computational topics with basic mathematical theory. Each chapter includes instructive problems.

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Produktdetails

• Cambridge Series in Statistical and Probabilistic Mathematics
• Verlag: Cambridge University Press
• Seitenzahl: 236
• Erscheinungstermin: 3. Oktober 2014
• Englisch
• Abmessung: 244mm x 170mm x 13mm
• Gewicht: 430g
• ISBN-13: 9780521548663
• ISBN-10: 0521548667
• Artikelnr.: 29984829

Autorenporträt

G. A. Young is Professor of Statistics at Imperial College London.

Inhaltsangabe

1. Introduction; 2. Decision theory; 3. Bayesian methods; 4. Hypothesis testing; 5. Special models; 6. Sufficiency and completeness; 7. Two-sided tests and conditional inference; 8. Likelihood theory; 9. Higher-order theory; 10. Predictive inference; 11. Bootstrap methods.

Rezensionen

'This is a delightful book! It gives a well-written exposure to inference issues in statistics, very suitable for a first-year graduate course ... The authors present the material in a very good pedagogical manner. The examples are excellent, and the exercises are very instructive ... very much up to date and includes recent developments in the field.' MAA Reviews