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Springer Testing Statistical Hypotheses - 4th Edition Text

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Description

Testing Statistical Hypotheses, 4th Edition by Springer is an updated and expanded two-volume work from the Springer Texts in Statistics series. This definitive resource serves graduate students and researchers by providing a deep dive into both finite-sample and large-sample theory. Volume one focuses on finite-sample theory, while volume two covers large-sample theory. This edition includes new topics of current relevance, such as an expanded treatment of multiple hypothesis testing and a new section on extensions of the Central Limit Theorem. Researchers will find valuable coverage of high-dimensional testing, along with expanded discussions on permutation and randomization tests. This text is a comprehensive tool for mastering modern statistical testing methods.

Key Features

This 4th Edition by Springer is a two-volume work covering both finite-sample and large-sample theory.

The text provides an expanded treatment of multiple hypothesis testing for advanced statistical research.

Includes a new section on extensions of the Central Limit Theorem to support current academic needs.

Offers detailed coverage of high-dimensional testing for modern data analysis requirements.

Provides expanded discussions on permutation and randomization tests within the Springer series.

Product Specifications

Format
paperback
Pack Size
2 items
Domain
Amazon UK
Release Date
25 June 2023
Listed Since
28 May 2023

Barcode

No barcode data available

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