Model misspecification effects for biased samples
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DOI: 10.1007/s00184-016-0597-5
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- Jinchi Lv & Jun S. Liu, 2014. "Model selection principles in misspecified models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(1), pages 141-167, January.
- Bai, J. & Jakeman, A.J. & Mcaleer, M., 1989. "Estimating The Percentiles Of Some Misspecified Non-Nested Distributions," Papers 193, Australian National University - Department of Economics.
- White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
- Konstantinos Fokianos & Irene Kaimi, 2006. "On the Effect of Misspecifying the Density Ratio Model," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 58(3), pages 475-497, September.
- Lemonte, Artur J., 2013. "On the gradient statistic under model misspecification," Statistics & Probability Letters, Elsevier, vol. 83(1), pages 390-398.
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Keywords
Biased sampling; Weighted distribution; Misspecification; Complete family of distributions; Generalized gamma distribution;All these keywords.
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