Handbook Of Applied Econometrics And Statistical Inference
Auteur : Ullah Aman
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.
Handbook Of Applied Econometrics And Statistical Inference
Aman Ullah
Date de parution : 06-2020
15.6x23.4 cm
Date de parution : 01-2002
Ouvrage de 744 p.
15.6x23.4 cm
Thèmes de Handbook Of Applied Econometrics And Statistical Inference :
Mots-clés :
SR Estimator; MONTE CARLO; asymptotic; Sel; distribution; Null Hypothesis; nuisance; SUR Estimator; parameter; Wald Statistics; likelihood; jX 0X J1; function; LS Estimator; consistent; Monte Carlo Experiments; estimator; GJR Model; full; MMSE Estimator; column; Neyman’s Smooth Test; Human Development Index; Exponential Family; Real Gdp; X1n X1; CV Model; Loss Function; Autoregressive Distributed Lag Model; Nuisance Parameter; Estimation Window Size; Scale Invariant Estimator; Small MSE; General Linear Model; Posterior Distribution
