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  Introduction to Statistics and Econometrics (Hardback) By (author) Takeshi Amemiya

  

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  Short Description for Introduction to Statistics and EconometricsCombines instruction in probability and statistics with econometrics in a fairly nontechnical manner. Contents include best prediction and best linear prediction, joint distribution of a continuous and discrete random variable, large sample theory and properties of the maximum likelihood estimator.
  Full description

  • Publisher: HARVARD UNIVERSITY PRESS
  • Published: 11 May 1994
  • Format: Hardback 384 pages
  • See: Full bibliographic data
  • Categories: Economics | Economic Theory & Philosophy | Econometrics | Economic Statistics | Probability & Statistics
  • ISBN 13: 9780674462250 ISBN 10: 0674462254
  • Sales rank: 288,776

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Full description for Introduction to Statistics and Econometrics

• Turning to regression, Amemiya presents the classical bivariate model in the conventional summation notation. He follows with a brief introduction to matrix analysis and multiple regression in matrix notation. Finally, he describes various generalizations of the classical regression model and certain other statistical models extensively used in econometrics and other applications in social science.