nach der Bestellung gedruckt Neuware - Printed after ordering - Summarizing developments and techniques in the field, this reference covers sample surveys, nonparametric analysis, hypothesis testing, time series analysis, Bayesian inference, and distribution theory for applications in statistics, economics, medicine, biology, engineering, sociology, psychology, and information technology. It supplies a geometric proof of an extended Gauss-Markov theorem, approaches for the design and implementation of sample surveys, advances in the theory of Neyman's smooth test, and methods for pre-test and biased estimation. It includes discussions ofsample size requirements for estimation in SUR models, innovative developments in nonparametric models, and more.

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Bibliographic Details

Title: Handbook Of Applied Econometrics And Statistical Inference
Publisher: CRC Press
Publication Date: 2020
Language: English
ISBN 10: 0367578670
ISBN 13: 9780367578671
Binding: Taschenbuch
Condition: Neu
Dimensions: 234 millimeters width by 156 millimeters height by 40 millimeters depth
Weight: 1118 grams

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Synopsis

Summarizing developments and techniques in the field, this reference covers sample surveys, nonparametric analysis, hypothesis testing, time series analysis, Bayesian inference, and distribution theory for applications in statistics, economics, medicine, biology, engineering, sociology, psychology, and information technology. It supplies a geometric proof of an extended Gauss-Markov theorem, approaches for the design and implementation of sample surveys, advances in the theory of Neyman's smooth test, and methods for pre-test and biased estimation. It includes discussions ofsample size requirements for estimation in SUR models, innovative developments in nonparametric models, and more.

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Aman Ullah

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