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Mathematical Statistics for Applied Econometrics

Charles B Moss
€132.99
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Absolute Deviation Estimator
advanced econometric statistical methods
Author_Charles B Moss
basics of statistical inference
Bivariate Random Variable
Bivariate Uniform Distribution
Borel Set
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confidence intervals
Continuous Random Variable
convergence concepts
Cumulative Distribution Function
Degree Stochastic Dominance
Discrete Random Variable
Distribution Functions
Dummy Variable
econometric formulations
econometric theory
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Estimated Intervention Parameter
General Maximum Likelihood Estimator
Introductory Econometrics Text
Inverse Hyperbolic Sine Transformation
linear models
Linear Unbiased Estimator
mathematical statistics for analyzing economic decisions under risk and uncertainty
matrix algebra
Matrix Analysis
Maximum Likelihood Estimator
Medicare Drug Plans
nonlinear econometric techniques
Posterior Distribution
Quantile Regression
Random Variable
Real Number Line
statistical inference
statistical tools and econometric applications
Traditional Frequentist Approach
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Product details

  • ISBN 9781466594098
  • Weight: 657g
  • Dimensions: 156 x 234mm
  • Publication Date: 16 Oct 2014
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Description

An Introductory Econometrics Text

Mathematical Statistics for Applied Econometrics covers the basics of statistical inference in support of a subsequent course on classical econometrics. The book shows students how mathematical statistics concepts form the basis of econometric formulations. It also helps them think about statistics as more than a toolbox of techniques.

Uses Computer Systems to Simplify Computation

The text explores the unifying themes involved in quantifying sample information to make inferences. After developing the necessary probability theory, it presents the concepts of estimation, such as convergence, point estimators, confidence intervals, and hypothesis tests. The text then shifts from a general development of mathematical statistics to focus on applications particularly popular in economics. It delves into matrix analysis, linear models, and nonlinear econometric techniques.

Students Understand the Reasons for the Results

Avoiding a cookbook approach to econometrics, this textbook develops students’ theoretical understanding of statistical tools and econometric applications. It provides them with the foundation for further econometric studies.

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