Pranab K. Sen, Julio M. Singer

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

An Introduction with Applications

• Format: PDF

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 394
• Erscheinungstermin: 22. November 2017
• Englisch
• ISBN-13: 9781351361170
• Artikelnr.: 50917394

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