Pranab K. Sen, Julio M. Singer

Large Sample Methods in Statistics (1994) (eBook, ePUB)

An Introduction with Applications

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 394
• Erscheinungstermin: 22. November 2017
• Englisch
• ISBN-13: 9781351361163
• Artikelnr.: 50917396

Autorenporträt

Pranab K. Sen, Julio M. Singer

Inhaltsangabe

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