Aspects of Statistical Inference
Language: en
Pages: 480
Authors: A. H. Welsh
Categories: Mathematics
Type: BOOK - Published: 1996-10-10 - Publisher: John Wiley & Sons

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.
Probability and Statistical Inference
Language: en
Pages: 343
Authors: J.G. Kalbfleisch
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

A carefully written text, suitable as an introductory course for second or third year students. The main scope of the text guides students towards a critical understanding and handling of data sets together with the ensuing testing of hypotheses. This approach distinguishes it from many other texts using statistical decision
Current Issues in Statistical Inference
Language: en
Pages: 264
Authors: Dev Basu, Malay Ghosh, Pramod K. Pathak
Categories: Mathematics
Type: BOOK - Published: 1992 - Publisher: IMS

Books about Current Issues in Statistical Inference
Statistical Inference Based on the likelihood
Language: en
Pages: 356
Authors: Adelchi Azzalini
Categories: Mathematics
Type: BOOK - Published: 1996-06-01 - Publisher: CRC Press

The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book introduces likelihood-based statistical theory and related methods from a classical viewpoint, and demonstrates how the main body of currently used statistical techniques can be generated from a few key
Statistical Inference
Language: en
Pages: 688
Authors: George Casella, Roger L. Berger
Categories: Mathematics
Type: BOOK - Published: 2021-01-26 - Publisher: Cengage Learning

This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. Intended for first-year graduate students, this book