introduction productive traits such as milk production and fat and protein percentage have economic importance in the livestock industry. accurate prediction of breeding value of animals is one of the best tools available for maximizing response to selection program. it is a fact that the main objective of the breeding program, is to achieve the maximum economic benefit. for breeders of dairy c...

A preconditioned conjugate gradient method was implemented into an iteration on a program for data estimation of breeding values, and its convergence characteristics were studied. An algorithm was used as a reference in which one fixed effect was solved by Gauss-Seidel method, and other effects were solved by a second-order Jacobi method. Implementation of the preconditioned conjugate gradient ...

Background: In many studies, Cox regression was used to assess the important factors that affect the survival of cancer patients based on demographic and clinical variables. The aim of this study was to determine the factors affecting the survival of patients with Hodgkin's lymphoma using the random survival forest (RSF) method and compare it with the Cox model. Methods: In this retrospective ...

Department of Statistical Science, Duke University March 24, 2008 We show the posterior consistency of certain nonparametric regression models using Lévy Random field priors. An easily verifiable sufficient condition is derived for the posterior consistency to hold in popular models which use Lévy random fields for regression and function estimation. We apply our results to a Poisson regression...

Generalized linear mixed models are flexible tools for modeling non-normal data and are useful for accommodating overdispersion in Poisson regression models with random effects. Their main difficulty resides in the parameter estimation because there is no analytic solution for the maximization of the marginal likelihood. Many methods have been proposed for this purpose and many of them are impl...

Let the mixed linear regression model when mean value parameters satisfy some linear constraints be under consideration. To detect rough errors or mistakes (outliers) in observations needs a knowledge of a covariance matrix of an observation vector. If unknown variance components occur in it, some problems arise how to recognize, whether estimates or approximations of them can be used instead o...

A two-level regression mixture model is discussed and contrasted with the conventional two-level regression model. Simulated and real data shed light on the modelling alternatives. The real data analyses investigate gender differences in mathematics achievement from the US National Education Longitudinal Survey.The two-level regression mixture analyses show that unobserved heterogeneity should ...

We focus on the problem of estimating the graph structure associated with a discrete Markov random field. We describe a method based on `1regularized logistic regression, in which the neighborhood of any given node is estimated by performing logistic regression subject to an `1-constraint. Our framework applies to the high-dimensional setting, in which both the number of nodes p and maximum nei...

Background and Objectives: In survival analysis, using the Cox model to determine the effective factors requires the assumptions whose failure of leads to biased results. The aim of this paper was to determine the factors affecting the survival of metastatic gastric cancer patients using the non-parametric method of Randomized Survival Forest (RSF) model and to compare its result with the Cox m...

correlation between breeding value of crude milk (cm) and energy-corrected milk (ecm) was studied based on a total of 774,013 test day records belongs to 88,456 first-parity holsteins dairy cattle calving during 1997-2009 in 165 herds (from six provinces). genetic analysis of the traits was carried out by a fixed regression test day model. in the model, effects of herd, calving year, production...