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Goodness of fit for the constancy of a classical statistical model over time

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  • Koning, A.J.

Abstract

The classical statistical model relates to n independent random variables having a common distribution. In this paper we consider the situation where the common distribution involves an unknown parameter, and where at time 0

Suggested Citation

  • Koning, A.J., 1999. "Goodness of fit for the constancy of a classical statistical model over time," Econometric Institute Research Papers EI 9959-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    • Handle: RePEc:ems:eureir:1635
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    References listed on IDEAS

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    1. Magnus, Jan R., 1978. "Maximum likelihood estimation of the GLS model with unknown parameters in the disturbance covariance matrix," Journal of Econometrics, Elsevier, vol. 7(3), pages 281-312, April.
    2. Kallenberg, Wilbert C. M. & Koning, Alex J., 1995. "On Wieand's theorem," Statistics & Probability Letters, Elsevier, vol. 25(2), pages 121-132, November.
    3. Pollard, David, 1985. "New Ways to Prove Central Limit Theorems," Econometric Theory, Cambridge University Press, vol. 1(3), pages 295-313, December.
    4. Lee W. Schruben, 1982. "Detecting Initialization Bias in Simulation Output," Operations Research, INFORMS, vol. 30(3), pages 569-590, June.
    5. Ploberger, Werner & Kramer, Walter, 1992. "The CUSUM Test with OLS Residuals," Econometrica, Econometric Society, vol. 60(2), pages 271-285, March.
    6. Lee Schruben, 1983. "Confidence Interval Estimation Using Standardized Time Series," Operations Research, INFORMS, vol. 31(6), pages 1090-1108, December.
    7. A. F. Bissell, 1984. "The Performance of Control Charts and Cusums Under Linear Trend," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 33(2), pages 145-151, June.
    8. Kramer, Walter & Ploberger, Werner & Alt, Raimund, 1988. "Testing for Structural Change in Dynamic Models," Econometrica, Econometric Society, vol. 56(6), pages 1355-1369, November.
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