Mathematical Statistics - Rilegato

Shao, Jun

Rilegato

ISBN 10: 038798674X ISBN 13: 9780387986746

Casa editrice: Springer-Verlag New York Inc., 1999

Riassunto

This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Chapters 3-7 contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter provide not only practice problems for students, but also many additional results. In addition to the classical results that are typically covered in a textbook of a similar level, this book introduces some topics in modern statistical theory that have been developed in recent years, such as Markov chain Monte Carlo, quasi-likelihoods, empirical likelihoods, statistical functionals, generalized estimation equations, the jackknife, and the bootstrap. Jun Shao is Professor of Statistics at the University of Wisconsin, Madison.

Su questo libro

Product Description:

Book by Shao Jun

Su questa edizione

• Editore: Springer-Verlag New York Inc.
• Data di pubblicazione: 1999
• ISBN 10: 038798674X
• ISBN 13: 9780387986746
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 543