Foundations of Econometrics is popular PDF and ePub book, written by Albert Madansky in 2014-07-22, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Foundations of Econometrics can be Read Online from any device for your convenience.
Foundations of Econometrics Book PDF Summary
Advanced Textbooks in Economics, Volume 7: Foundations of Econometrics focuses on the principles, processes, methodologies, and approaches involved in the study of econometrics. The publication examines matrix theory and multivariate statistical analysis. Discussions focus on the maximum likelihood estimation of multivariate normal distribution parameters, point estimation theory, multivariate normal distribution, multivariate probability distributions, Euclidean spaces and linear transformations, orthogonal transformations and symmetric matrices, and determinants. The manuscript then ponders on linear expected value models and simultaneous equation estimation. Topics include random exogenous variables, maximum likelihood estimation of a single equation, identification of a single equation, linear stochastic difference equations, and errors-in-variables models. The book takes a look at a prolegomenon to econometric model building, tests of hypotheses in econometric models, multivariate statistical analysis, and simultaneous equation estimation. Concerns include maximum likelihood estimation of a single equation, tests of linear hypotheses, testing for independence, and causality in economic models. The publication is a valuable source of data for economists and researchers interested in the foundations of econometrics.
Detail Book of Foundations of Econometrics PDF
- Author : Albert Madansky
- Release : 22 July 2014
- Publisher : Elsevier
- ISBN : 9781483275253
- Genre : Business & Economics
- Total Page : 275 pages
- Language : English
- PDF File Size : 12,8 Mb
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