Results 31 to 40 of about 3,902,333 (190)
Estimation of genetic parameters and verification of early selection efficiency in baru (Dipteryx alata) [PDF]
Crop Breeding and Applied Biotechnology, 2014 This study aimed at verifying the efficiency of early selection, and estimating the genetic parameters in Dipteryx alata. The 66 half-sib families were obtained from three seed provenances at the Brazilian Savannah of the state of Minas Gerais.
Alisson Moura Santos +2 more
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Pesquisa Agropecuária Brasileira, 2009 O objetivo deste trabalho foi avaliar parâmetros genéticos e comparar os ganhos preditos por meio de diferentes métodos de seleção em famílias de meios-irmãos de Eucalyptus urophylla.
Antônio Marcos Rosado +4 more
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A review of R-packages for random-intercept probit regression in small clusters
Frontiers in Applied Mathematics and Statistics, 2016 Generalized Linear Mixed Models (GLMMs) are widely used to model clustered categorical outcomes. To tackle the intractable integration over the random effects distributions, several approximation approaches have been developed for likelihood-based ...
Haeike Josephy, Tom Loeys, Yves Rosseel
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Scientia Agricola, 2020 : The purpose of this study was to conduct selection, genetic parameter estimation, and prediction of genetic values for 18 S1 families of guava trees using mixed model methodology and simultaneous selection of traits by means of the additive selection ...
Moisés Ambrósio +7 more
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Mixed-Domain Modeling in Modelica [PDF]
, 2006 Modelica is a language for convenient, component oriented modeling of physical systems. In this article, an overview of the language, available libraries, the Dymola simulator and some industrial applications is given. Additionally, a comparison of Modelica with VHDL-AMS is presented.
Clauss, Christoph +4 more
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Half-Normal Plots and Overdispersed Models in R: The hnp Package
Journal of Statistical Software, 2017 Count and proportion data may present overdispersion, i.e., greater variability than expected by the Poisson and binomial models, respectively. Different extended generalized linear models that allow for overdispersion may be used to analyze this type of
Rafael A Moral +2 more
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Nonlinear quantile mixed models
, 2019 In regression applications, the presence of nonlinearity and correlation among observations offer computational challenges not only in traditional settings such as least squares regression, but also (and especially) when the objective function is non ...
Geraci, Marco
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Generalized fiducial inference for normal linear mixed models [PDF]
, 2012 While linear mixed modeling methods are foundational concepts introduced in any statistical education, adequate general methods for interval estimation involving models with more than a few variance components are lacking, especially in the unbalanced ...
Cisewski, Jessi, Hannig, Jan
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Bernoulli, 2001 The author studies system lifetimes that are associated with a cumulative shock model as follows: The system fails when the cumulative damage exceeds some threshold, or when a single large shock occurs. \textit{H. Li} and the reviewer [Stochastic Processes Appl. 58, No. 2, 205-216 (1995; Zbl 0833.60088); Appl. Probab. 34, No.
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Models of neutrino masses and mixings
New Journal of Physics, 2004 We review theoretical ideas, problems and implications of neutrino masses and mixing angles. We give a general discussion of schemes with three light neutrinos. Several specific examples are analyzed in some detail, particularly those that can be embedded into grand unified theories.
FERUGLIO, FERRUCCIO, G. ALTARELLI
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