Goodness-of-fit tests for parametric models based on biased samples

The authors study the problem of checking the adequacy of a parametric model for a distribution using several possibly censored weight biased samples. They discuss identifiability problems related to the underlying distribution and the distributions of the biased samples. They propose a test statist...

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Veröffentlicht in:	Canadian journal of statistics 2002-09, Vol.30 (3), p.475-490
Hauptverfasser:	Sun, Yanqing, Cui, Sufang, Tiwari, Ram C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Censoring Censorship consistency Estimation bias Martingales Monte Carlo method Null hypothesis Perceptron convergence procedure Random sampling Sampling bias Sampling distributions Selection bias supremum test truncation weak convergence Weighting functions
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