Theory of Statistics:
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Bibliographic Details
Main Author: Schervish, Mark J. (Author)
Format: Electronic eBook
Language:English
Published: New York, NY Springer New York 1995
Series:Springer Series in Statistics
Subjects:
Links:https://doi.org/10.1007/978-1-4612-4250-5
Item Description:The aim of this graduate textbook is to provide a comprehensive advanced course in the theory of statistics covering those topics in estimation, testing, and large sample theory which a graduate student might typically need to learn as preparation for work on a Ph.D. An important strength of this book is that it provides a mathematically rigorous and even-handed account of both Classical and Bayesian inference in order to give readers a broad perspective. For example, the "uniformly most powerful" approach to testing is contrasted with available decision-theoretic approaches
Physical Description:1 Online-Ressource (XVI, 704 p)
ISBN:9781461242505
9781461287087
ISSN:0172-7397
DOI:10.1007/978-1-4612-4250-5