Includes bibliographical references and index.

Introduction -- Analysis of a sample of data -- Analysis of a sample from a normal population -- Interval estimation and hypothesis testing in the normal linear model -- The Bayesian approach to estimating the mean and variance of a normal population -- The general linear statistical model -- The normal general linear statistical model -- Bayesian estimation and interference for the normal linear statistical model -- Linear stochastic regressor models and asymptotic theory -- General linear statistical model with non scalar-identity covariance matrix -- Disturbance-related sets of regression equations -- An introduction to simultaneous linear statistical models -- Estimation and interference for simultaneous equation statistical models -- Heteroscedasticity -- Autocorrelation -- Using time series and cross-sectional data -- Variable parameter models -- Models with qualitative or limited dependent variables -- Unobservable variables -- The use of nonsample information -- Biased estimation -- Model specification--variable selection -- Multicollinearity -- Nonlinear regression models -- Time series analysis and forecasting -- Analysis of bivariate time series -- Distributed lag models -- Summary of statistical models, estimators and tests.

Use copy Restrictions unspecified MiAaHDL star

Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010. MiAaHDL

Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. MiAaHDL

https://purl.oclc.org/DLF/benchrepro0212

digitized 2010 HathiTrust Digital Library committed to preserve MiAaHDL pda