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.



Autorentext

Aman Ullah (Author) , Alan T. K Wan (Author) , Anoop Chaturvedi (Author)



Inhalt

Part 1 Statistical Inference and Sample Design, Part 2 Nonparametric Estimation and Testing , Part 3 Hypothesis Testing , Part 4 Pretest and Biased Estimation , Part 5 Time Series Analysis , Part 6 Estimation and Inference in Econometric Models , Part 7 Applied Econometrics.

Titel
Handbook Of Applied Econometrics And Statistical Inference
EAN
9780203911075
ISBN
978-0-203-91107-5
Format
PDF
Herausgeber
Veröffentlichung
29.01.2002
Digitaler Kopierschutz
Adobe-DRM
Dateigrösse
171.91 MB
Anzahl Seiten
744
Jahr
2002
Untertitel
Englisch