Bayesian prediction under a class of multivariate distributions
Bayesian prediction under a class of multivariate distributions
Dans cet article, le problème de prédiction est étudié sous les membres d'une classe $${\Im^{*}}$$ de distributions multivariées, construite par AL-Hussaini et Ateya (Stat Pap 46:321–338, 2005 ; J Egypt Math Soc 14(1) :45–54, 2006). Une plus grande attention est accordée à la distribution de Rayleigh composée à deux variables, qui est un membre de cette classe, à titre d'exemple illustratif.
En este documento, el problema de predicción se estudia bajo los miembros de una clase $${\Im^{*}}$$ de distribuciones multivariadas, construidas por AL-Hussaini y Ateya (Stat Pap 46:321–338, 2005; J Egypt Math Soc 14(1):45–54, 2006). Se presta más atención a la distribución bivariante del compuesto de Rayleigh, que es miembro de esta clase, como ejemplo ilustrativo.
In this paper the prediction problem is studied under members of a class $${\Im^{*}}$$ of multivariate distributions, constructed by AL-Hussaini and Ateya (Stat Pap 46:321–338, 2005; J Egypt Math Soc 14(1):45–54, 2006). More attention is given to bivariate compound Rayleigh distribution, which is a member of this class, as illustrative example.
في هذه الورقة يتم دراسة مشكلة التنبؤ تحت أعضاء فئة $${\ Im ^{*}}$ من التوزيعات متعددة المتغيرات، التي بناها الحسيني وعطية (Stat Pap 46: 321-338، 2005 ؛ J Egypt Math Soc 14(1):45–54، 2006). يتم إيلاء المزيد من الاهتمام لتوزيع رايلي المركب ثنائي المتغير، وهو عضو في هذه الفئة، كمثال توضيحي.
- Assiut University Egypt
- Taif University Saudi Arabia
- Assiut University, Faculty of Science Egypt
- Alexandria University Egypt
Statistics and Probability, Artificial intelligence, Class (philosophy), Censored data models, Social Sciences, Management Science and Operations Research, Bayesian probability, Mathematical analysis, Inference from stochastic processes and prediction, Decision Sciences, FOS: Economics and business, Skew Distributions and Applications in Statistics, FOS: Mathematics, Econometrics, Modeling Risk in Insurance and Finance, Characterization and structure theory for multivariate probability distributions; copulas, Distribution (mathematics), Statistics, Computer science, Multivariate statistics, Multivariate normal distribution, Bivariate analysis, Multivariate analysis, Physical Sciences, Uncertainty Quantification and Sensitivity Analysis, Bayesian Inference, Statistics, Probability and Uncertainty, Mathematics
Statistics and Probability, Artificial intelligence, Class (philosophy), Censored data models, Social Sciences, Management Science and Operations Research, Bayesian probability, Mathematical analysis, Inference from stochastic processes and prediction, Decision Sciences, FOS: Economics and business, Skew Distributions and Applications in Statistics, FOS: Mathematics, Econometrics, Modeling Risk in Insurance and Finance, Characterization and structure theory for multivariate probability distributions; copulas, Distribution (mathematics), Statistics, Computer science, Multivariate statistics, Multivariate normal distribution, Bivariate analysis, Multivariate analysis, Physical Sciences, Uncertainty Quantification and Sensitivity Analysis, Bayesian Inference, Statistics, Probability and Uncertainty, Mathematics
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