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Springer Essential Statistical Inference: Theory and Methods
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Description
Key Features
Covers essential topics including classical likelihood, Bayesian, and permutation inference for graduate-level studies.
Includes modern statistical methods such as M-estimation, the jackknife, and the bootstrap.
Integrates R code throughout the text to provide practical application for statistical theories.
Features a large number of examples and problems to help students master mathematical statistics.
Designed for accessibility with minimal reliance on measure theory to reach a wider audience.
Part of the Springer Texts in Statistics series, volume 120.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 1489987932
- Domain
- Amazon UK
- Release Date
- 06 March 2015
- Listed Since
- 07 March 2015
Barcode
No barcode data available
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