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A weighted negative binomial Lindley distribution with applications to dispersed data Anais da ABC (AABC)
BAKOUCH,HASSAN S.
Abstract A new discrete distribution is introduced. The distribution involves the negative binomial and size biased negative binomial distributions as sub-models among others and it is a weighted version of the two parameter discrete Lindley distribution. The distribution has various interesting properties, such as bathtub shape hazard function along with increasing/decreasing hazard rate, positive skewness, symmetric behavior, and over- and under-dispersion. Moreover, it is self decomposable and infinitely divisible, which makes the proposed distribution well suited for count data modeling. Other properties are investigated, including probability generating function, ordinary moments, factorial moments, negative moments and characterization. Estimation of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Characterization; Discrete distributions; Estimation; Vuong test statistic; Mixture distributions; Thunderstorms data.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000602617
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Mixture models in quantitative genetics and applications to animal breeding R. Bras. Zootec.
Gianola,Daniel; Boettcher,Paul J.; Ødegård,Jørgen; Heringstad,Bjørg.
Finite mixture models are helpful for uncovering heterogeneity due to hidden structure; for example, unknown major genes. The first part of this article gives examples and reviews quantitative genetics issues of continuous characters having a finite mixture of Gaussian components. The partition of variance in a mixture, the covariance between relatives under the supposition of an additive genetic model and the offspring-parent regression are derived. Formulae for assessing the effect of mass selection operating on a mixture are given. Expressions for the genetic correlation between a mixture and a Gaussian trait are presented. If there is heterogeneity in a population at the genetic or environmental levels, then genetic parameters based on theory treating...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Bayesian methods; Dairy cattle; Maximum likelihood; Mixture distributions; Quantitative genetics; Somatic cell scores.
Ano: 2007 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982007001000017
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Testing for Separability in Household Models with Heterogeneous Behavior: A Mixture Model Approach AgEcon
Vakis, Renos; Sadoulet, Elisabeth; de Janvry, Alain; Cafiero, Carlo.
Knowing whether a household behaves according to separability or non-separability is needed for the correct modeling of production decisions. We propose a superior test to those found in the literature on separability by using a mixture distribution approach to estimate the probability that a farm household behaves according to non-separability, and test that the determinants of consumption affect production decisions for households categorized as non-separable. With non-separability attributed to labor market constraints, the switcher equation shows that Peruvian farm households that are indigenous and young, with low levels of education, and lack of local employment opportunities are more likely to be constrained on the labor market.
Tipo: Working or Discussion Paper Palavras-chave: Labor; Separability; Mixture distributions; Peru; Consumer/Household Economics; Labor and Human Capital; J43; C16; Q12.
Ano: 2004 URL: http://purl.umn.edu/25016
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