Essentials of Statistical Inference

Informationen zum Autor G. A. Young is Professor of Statistics at Imperial College London. Klappentext This textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference. Zusammenfassung 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. Inhaltsverzeichnis 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.

Product details

• Authors: R. L. Smith, G A Young, G. A. Young, G. A. (Imperial College of Science Young, G. A. Smith Young, G.a. Smith Young
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Paperback / Softback
• Released: 29.03.2010
• EAN: 9780521548663
• ISBN: 978-0-521-54866-3
• No. of pages: 236
• Series: Cambridge Series in Statistical and Probabilistic Mathematics; Cambridge Series in Statistica; Cambridge Series in Statistical and Probabilistic; Cambridge Series in Statistical and Probabilistic Mathematics; Cambridge Series in Statistical and Probabilistic
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics