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...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
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| Series: | Springer Texts in Statistics,
120 |
| Subjects: | |
| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-4818-1 |