General quadratic distance methods for discrete distributions definable recursively.
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Publication:1413318
DOI10.1016/S0167-6687(02)00100-2zbMath1033.62015MaRDI QIDQ1413318
Publication date: 16 November 2003
Published in: Insurance Mathematics \& Economics (Search for Journal in Brave)
Goodness-of-fitMixture distributionTruncationIteratively reweighted least-squaresMinimum chi-squareQuadratic distanceRecursive relationshipWeighted distribution
Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03) Exact distribution theory in statistics (62E15)
Related Items (3)
Inference for the Generalized Normal Laplace Distribution ⋮ The compound truncated Poisson Cauchy model: a descriptor for multimodal data ⋮ Inference for a leptokurtic symmetric family of distributions represented by the difference of two gamma variates
Cites Work
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- Minimum Distance Estimators for Location and Goodness of Fit
- Generalized Inverses, Wald's Method, and the Construction of Chi-Squared Tests of Fit
- Weighted Distributions and Size-Biased Sampling with Applications to Wildlife Populations and Human Families
- MINIMUM QUADRATIC DISTANCE ESTIMATION FOR A PARAMETRIC FAMILY OF DISCRETE DISTRIBUTIONS DEFINED RECURSIVELY
- Efficient estimators for the good family
- Linear Statistical Inference and its Applications
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