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.
General
| Imprint: |
Springer-Verlag New York
|
| Country of origin: |
United States |
| Series: |
Springer Series in Statistics |
| Release date: |
November 2011 |
| First published: |
1995 |
| Authors: |
Mark J. Schervish
|
| Dimensions: |
235 x 155 x 36mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
716 |
| Edition: |
Softcover reprint of the original 1st ed. 1995 |
| ISBN-13: |
978-1-4612-8708-7 |
| Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
Promotions
|
| LSN: |
1-4612-8708-1 |
| Barcode: |
9781461287087 |
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