Large sample methods in statistics : an introduction with applications

Bibliographic Information

Large sample methods in statistics : an introduction with applications

Pranab K. Sen and Julio M. Singer

(CRC revivals)

CRC Press, 2018, c1993

  • : hbk

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Note

"First published 1993 by Chapman & Hall/CRC ... Reissued 2018 by CRC Press"--T.p. verso

Includes bibliographical references (p. [371]-376) and index

Description and Table of Contents

Description

This text bridges the gap between sound theoretcial developments and practical, fruitful methodology by providing solid justification for standard symptotic statistical methods. It contains a unified survey of standard large sample theory and provides access to more complex statistical models that arise in diverse practical applications.

Table of Contents

1 Objectives and Scope: General Introduction 2 Stochastic Convergence 3 Weak Convergence and Central Limit Theorems 4 Large Sample Behavior of Empirical Distributions and Order Statistics 5 Asymptotic Behavior of Estimators and Test Statistics 6 Large Sample Theory for Categorical Data Models 7 Large Sample Theory for Regression Models 8 Invariance Principles in Large Sample Theory

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