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J Durbin

Biographic Data

ID271646
NAMEJ Durbin
GIVEN NAMESJ
FAMILY NAMEDurbin
SIGNATUREDURBIN J
AFFILIATIONSLondon School of Economics and Political Science
VERIFIEDNo
TOTAL WORKS6
TOTAL CITATIONS1
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR1951
LATEST PUBLICATION YEAR1975
H-INDEX1
  • Techniques for Testing the Constancy of Regression Relationships Over Time

    Open Access•R L Brown, J Durbin et al.•ARTICLE•Journal of the Royal Statistical…•1975

    Methods for studying the stability over time of regression relationships are considered. Recursive residuals, defined to be uncorrelated with zero means and constant variance, are introduced and tests based on the cusum and cusum of squares of recursive residuals are developed. Further techniques based on moving regressions, in which the regression model is fitted from a segment of data which is moved along the series, and on regression models wh…

  • Testing for Serial Correlation in Least-Squares Regression When Some of the Regressors are Lagged Dependent Variables

    J Durbin•ARTICLE•Econometrica•1970

    The construction of tests of model specification is considered from a general point of view. The results are applied to testing the serial independence of the disturbances in a regression model where some of the regressors are lagged dependent variables. It is shown that the asymptotic distribution of the lag-1 serial correlation coefficient calculated from the least-squares residuals differs from that of the coefficient calculated from the true …

  • Introduction to Difference Equations

    J Durbin, Samuel Goldberg•ARTICLE•British Journal of Sociology•1960•Cited by: 1

  • Appendix note on a statistical question raised in the preceding paper

    J Durbin•ARTICLE•Population Studies•1955

    The fact that the maximum value of the index of association depends on the marginal totals can be corrected as follows

  • Errors in Variables

    J Durbin•ARTICLE•Revue de l Institut International…•1954

  • Testing for Serial Correlation in Least Squares Regression. Ii

    J Durbin, G S Watson•ARTICLE•Biometrika•1951

    J. DURBIN, G. S. WATSON; TESTING FOR SERIAL CORRELATION IN LEAST SQUARES REGRESSION. II, Biometrika, Volume 38, Issue 1-2, 1 June 1951, Pages 159–178, http

  • Introduction to Difference Equations

    J Durbin, Samuel Goldberg•ARTICLE•British Journal of Sociology•1960•Cited by: 1

  • Testing for Serial Correlation in Least Squares Regression. Ii

    J Durbin, G S Watson•ARTICLE•Biometrika•1951

    J. DURBIN, G. S. WATSON; TESTING FOR SERIAL CORRELATION IN LEAST SQUARES REGRESSION. II, Biometrika, Volume 38, Issue 1-2, 1 June 1951, Pages 159–178, http

  • Errors in Variables

    J Durbin•ARTICLE•Revue de l Institut International…•1954

  • Appendix note on a statistical question raised in the preceding paper

    J Durbin•ARTICLE•Population Studies•1955

    The fact that the maximum value of the index of association depends on the marginal totals can be corrected as follows

  • Introduction to Difference Equations

    J Durbin, Samuel Goldberg•ARTICLE•British Journal of Sociology•1960•Cited by: 1

  • Testing for Serial Correlation in Least-Squares Regression When Some of the Regressors are Lagged Dependent Variables

    J Durbin•ARTICLE•Econometrica•1970

    The construction of tests of model specification is considered from a general point of view. The results are applied to testing the serial independence of the disturbances in a regression model where some of the regressors are lagged dependent variables. It is shown that the asymptotic distribution of the lag-1 serial correlation coefficient calculated from the least-squares residuals differs from that of the coefficient calculated from the true …

  • Techniques for Testing the Constancy of Regression Relationships Over Time

    Open Access•R L Brown, J Durbin et al.•ARTICLE•Journal of the Royal Statistical…•1975

    Methods for studying the stability over time of regression relationships are considered. Recursive residuals, defined to be uncorrelated with zero means and constant variance, are introduced and tests based on the cusum and cusum of squares of recursive residuals are developed. Further techniques based on moving regressions, in which the regression model is fitted from a segment of data which is moved along the series, and on regression models wh…

Computer Science (5 works) · Mathematics (5 works) · Econometrics (4 works) · Statistics (4 works) · Advanced Statistical Methods and Models (3 works) · Regression (3 works) · Regression analysis (3 works) · Generalized least squares (2 works) · Ordinary least squares (2 works) · Partial least squares regression (2 works)

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