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Chapman and Hall/CRC A Course in Large Sample Theory - Textbook

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Description

A Course in Large Sample Theory provides a comprehensive foundation for students and professionals in statistical science. This textbook is structured into four distinct parts to guide learners through complex mathematical concepts systematically. It begins with basic probabilistic notions and introduces the necessary statistical tools for expanding theory. The content then moves into special topics applied to general theory before covering standard statistical topics. Designed specifically for a first year graduate course, this book serves as a vital resource for those studying statistics, biostatistics, mathematics, and related fields. Most topics are presented within a multivariate setting, ensuring that readers gain a deep understanding of modern statistical applications. Whether you are a graduate student or a practitioner in medical and healthcare fields, this text offers the rigorous mathematical framework required for advanced study in large sample theory.

Key Features

Structured in four comprehensive parts covering probability, statistical tools, special applications, and standard topics.

Designed as a primary text for first year graduate courses in large sample theory.

Provides a multivariate setting for nearly all topics to ensure advanced theoretical coverage.

Ideal for graduate students specializing in statistics, biostatistics, and mathematics.

Part of the Chapman and Hall/CRC Texts in Statistical Science series.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
31 December 2023
Listed Since
08 February 2007

Barcode

No barcode data available

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