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Einband grossA Course in the Large Sample Theory of Statistical Inference
ISBN/GTIN

A Course in the Large Sample Theory of Statistical Inference

E-BookPDF0 - No protectionE-Book
320 Seiten
Englisch
Taylor & Franciserschienen am14.12.20231. Auflage
This book provides an accessible but rigorous introduction to asymptotic theory in parametric statistical models. The book is based on lecture notes prepared by the first author, subsequently edited, expanded and updated by the second author. Includes a large number of exercises.mehr
Verfügbare Formate
BuchGebunden
EUR119,50
E-BookEPUB0 - No protectionE-Book
EUR118,99
E-BookPDF0 - No protectionE-Book
EUR118,99

Produkt

KlappentextThis book provides an accessible but rigorous introduction to asymptotic theory in parametric statistical models. The book is based on lecture notes prepared by the first author, subsequently edited, expanded and updated by the second author. Includes a large number of exercises.
Details
Weitere ISBN/GTIN9781498726085
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis0 - No protection
Erscheinungsjahr2023
Erscheinungsdatum14.12.2023
Auflage1. Auflage
Seiten320 Seiten
SpracheEnglisch
Dateigrösse2677 Kbytes
Illustrationen6 schwarz-weiße Abbildungen, 6 schwarz-weiße Zeichnungen, 6 schwarz-weiße Tabellen
Artikel-Nr.12827062
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
Random Variables and Vectors Page. Weak Convergence Page. Asymptotic Linearity of Statistics Page. Local Analysis Page. Large-Sample Estimation Page. Large-Sample Hypothesis Testing and Confidence Sets Page. An Introduction to Rank Tests and Estimates Page. An Introduction to Multinomial Chi-square Tests Page.mehr

Autor

W. J. ("Jack") Hall was Professor at the University of Rochester from 1969 to his death in 2012. He was instrumental in founding the graduate program in Statistics. His research interests included decision theory, survival analysis, semiparametric inference and sequential analysis. He worked with medical colleagues to develop innovative statistical designs for clinical trials in cardiology.

David Oakes is Professor and a former department chair at the University of Rochester. His areas of research interests include survival analysis and stochastic processes.
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Hall, W. Jackson