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Shazam: econometrics computer program: users reference manual - version 6.2. / Kenneth J. White, S. Donna Wong, Diana Whistler and Shirley A. Haun.

By: Contributor(s): Material type: TextPublication details: New York: McGraw-Hill, c1990.Description: ii, 352 p. 23cmISBN:
  • 0070695873
Subject(s): LOC classification:
  • HB143.5.S52
Contents:
Contents: Introduction -- A Child's guide to running regressions -- Data input and output -- Discriptive statistics -- Pilots -- Generating variables -- Hypothesis testing and confidence intervals -- Inequality restrictions -- Arima models -- Autocorrelation models -- Box-cox regressions -- Diagnostic tests -- Distributed-lag models -- Forecasting -- Generalized least squares -- Heteroskedastic models -- Maximum likelihood estimation of non-normal models -- Nonlinear regression -- Pooled cross-section time-series -- Probit and logit regression -- Robust estimation -- Tobit regression -- Two-stage least squares and systems of equations -- Maps -- Matrix manipulation -- Price indexes -- Principal components and factor analysis -- Probability distributions -- Sorting data -- Set and display -- Miscellaneous commands and information -- Programming in shazam -- Summary of commands -- French command names -- New features in shazam -- References -- How to run shazam.
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Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY General Stacks WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY HB143.5.S52 (Browse shelf(Opens below)) Available 1017/11

Includes index

Contents: Introduction -- A Child's guide to running regressions -- Data input and output -- Discriptive statistics -- Pilots -- Generating variables -- Hypothesis testing and confidence intervals -- Inequality restrictions -- Arima models -- Autocorrelation models -- Box-cox regressions -- Diagnostic tests -- Distributed-lag models -- Forecasting -- Generalized least squares -- Heteroskedastic models -- Maximum likelihood estimation of non-normal models -- Nonlinear regression -- Pooled cross-section time-series -- Probit and logit regression -- Robust estimation -- Tobit regression -- Two-stage least squares and systems of equations -- Maps -- Matrix manipulation -- Price indexes -- Principal components and factor analysis -- Probability distributions -- Sorting data -- Set and display -- Miscellaneous commands and information -- Programming in shazam -- Summary of commands -- French command names -- New features in shazam -- References -- How to run shazam.

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