Essential statistical inference : theory and methods /
This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and th...
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| Main Authors: | , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2013.
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| Series: | Springer Texts in Statistics
120 |
| Subjects: | |
| Online Access: | Click here to view the full text content |
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