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基本説明
Highlights areas such as sample surveys, nonparametric analysis, hypothesis testing, time series analysis, Bayesian inference, and distribution theory for current applications in statistics, economics, medicine, biology, engineering, and more.
Full Description
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.
Contents
Handbook Of Applied Econometrics And Statistical Inference