Results 21 to 30 of about 2,084,039 (283)
Bayesian Modeling of Innovation Effect on the Human Development Index in Developing Countries [PDF]
مدلسازی اقتصادسنجی, 2019 There are 2 general approaches in statistics science to estimation: classical and Bayesian approaches. In addition to using the random sample information in Bayesian approach, the prior information of parameters is also used for estimation.
Somayeh Riazinia, Monireh Dizaji
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Scientia Agricola, 2022 Among the multi-trait models selected to study several traits and environments jointly, the Bayesian framework has been a preferred tool when constructing a more complex and biologically realistic model. In most cases, non-informative prior distributions
Camila Ferreira Azevedo +7 more
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Prior Distributions on Symmetric Groups [PDF]
Psychometrika, 2005 Fully and partially ranked data arise in a variety of contexts. From a Bayesian perspective, attention has focused on distance-based models; in particular, the Mallows model and extensions thereof. In this paper, a class of prior distributions, the Binary Tree, is developed on the symmetric group. The attractive features of the class are: it provides a
Gupta, Jayanti, Damien, Paul
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Ciência e Agrotecnologia, 2009 Dados históricos de precipitação máxima são utilizados para realizar previsões de chuvas extremas, cujo conhecimento é de grande importância na elaboração de projetos agrícolas e de engenharia hidráulica.
Luiz Alberto Beijo +2 more
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On Posterior Properties of the Two Parameter Gamma Family of Distributions
Anais da Academia Brasileira de Ciências, 2021 The gamma distribution has been extensively used in many areas of applications. In this paper, considering a Bayesian analysis we provide necessary and sufficient conditions to check whether or not improper priors lead to proper posterior distributions ...
PEDRO L. RAMOS +3 more
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New Riemannian Priors on the Univariate Normal Model
Entropy, 2014 The current paper introduces new prior distributions on the univariate normal model, with the aim of applying them to the classification of univariate normal populations.
Salem Said +2 more
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A brief look into Bayesian statistics in cardiology data analysis
REC: Interventional Cardiology (English Ed.), 2022 Bayesian statistics assesses probabilistically all sources of uncertainty involved in a statistical study and uses Bayes’ theorem to sequentially update the information generated in the different phases of the study.
Carmen Armero +2 more
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Objective prior for the number of degrees of freedom of a t distribution [PDF]
, 2014 In this paper, we construct an objective prior for the degrees of freedom of a t distribution, when the parameter is taken to be discrete. This parameter is typically problematic to estimate and a problem in objective Bayesian inference since improper ...
Villa C. +4 more
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Computational Journal of Mathematical and Statistical SciencesThe inverse Weibull (IW) distribution can be applied to a wide range of situations including applications in ecology, medicine, and reliability. Moreover, IW distribution gives a good fit to survival data such as the times to breakdown of an insulating ...
Hiba Z Muhammed, Ehab M. Almetwally
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Hypothesis testing for the genetic background of quantitative traits
Genetics Selection Evolution, 2001 The testing of Bayesian point null hypotheses on variance component models have resulted in a tough assignment for which no clear and generally accepted method exists. In this work we present what we believe is a succeeding approach to such a task. It is
Moreno Carlos +3 more
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