Aspects of Statistical Inference

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John Wiley & Sons, 10 жовт. 1996 р. - 480 стор.
Relevant, concrete, and thorough--the essential data-based text onstatistical inference

The ability to formulate abstract concepts and draw conclusionsfrom data is fundamental to mastering statistics. Aspects ofStatistical Inference equips advanced undergraduate and graduatestudents with a comprehensive grounding in statistical inference,including nonstandard topics such as robustness, randomization, andfinite population inference.

A. H. Welsh goes beyond the standard texts and expertly synthesizesbroad, critical theory with concrete data and relevant topics. Thetext follows a historical framework, uses real-data sets andstatistical graphics, and treats multiparameter problems, yet isultimately about the concepts themselves.

Written with clarity and depth, Aspects of Statistical Inference:
* Provides a theoretical and historical grounding in statisticalinference that considers Bayesian, fiducial, likelihood, andfrequentist approaches
* Illustrates methods with real-data sets on diabetic retinopathy,the pharmacological effects of caffeine, stellar velocity, andindustrial experiments
* Considers multiparameter problems
* Develops large sample approximations and shows how to use them
* Presents the philosophy and application of robustness theory
* Highlights the central role of randomization in statistics
* Uses simple proofs to illuminate foundational concepts
* Contains an appendix of useful facts concerning expansions,matrices, integrals, and distribution theory

Here is the ultimate data-based text for comparing and presentingthe latest approaches to statistical inference.
 

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Зміст

Bayesian Fiducial and Likelihood Inference
51
Robust Inference
239
Randomization and Resampling
294
Principles of Inference
363
Some Useful Facts
394
References
409
Author Index
429
Subject Index
437
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Загальні терміни та фрази

Про автора (1996)

A. H. WELSH is a Reader of Statistics at the Australian National University in Canberra, Australia.

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