Results 11 to 20 of about 724,462 (280)
Estimation of genetic and phenotypic parameters of logistic growth curve and their inter-relationship in Zandi Sheep [PDF]
پژوهشهای علوم دامی ایران, 2021 Introduction Growth, defined as changes of body weight over time, is an economically important trait in sheep that directly determines meat production.Increase in live weight or dimension against age has been described as growth.
Saeed Neysi +3 more
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Variance component analysis of growth and production traits in Vanaraja male line chickens using animal model [PDF]
Animal Bioscience, 2021 Objective A comprehensive study was conducted to study the effects of partition of variance on accuracy of genetic parameters and genetic trends of economic traits in Vanaraja male line/project directorate-1 (PD-1) chicken.
Rajkumar Ullengala +4 more
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Improvements in Maximum Likelihood Estimators of Truncated Normal Samples with Prior Knowledge of σ [PDF]
, 2003 Researchers analyzing historical data on human stature have long sought an estimator that performs well in truncated-normal samples. This paper reviews that search, focusing on two currently widespread procedures: truncated least squares (TLS) and ...
A'Hearn, Brian, Komlos, John
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On the inefficiency of the restricted maximum likelihood [PDF]
Statistica Neerlandica, 2015 The restricted maximum likelihood is preferred by many to the full maximum likelihood for estimation with variance component and other random coefficient models, because the variance estimator is unbiased. It is shown that this unbiasedness is accompanied in some balanced designs by an inflation of the mean squared error.
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TopREML: a topological restricted maximum likelihood approach to regionalize trended runoff signatures in stream networks [PDF]
Hydrology and Earth System Sciences, 2015 We introduce topological restricted maximum likelihood (TopREML) as a method to predict runoff signatures in ungauged basins. The approach is based on the use of linear mixed models with spatially correlated random effects.
M. F. Müller, S. E. Thompson
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Barekeng, 2022 The Program for International Student Assessment (PISA), becomes one of the references or indicators used to assess the development of students' knowledge and skills in each member country of the Organization for Economic Cooperation and Development ...
Vera Maya Santi +3 more
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Finite mixture regression: A sparse variable selection by model selection for clustering [PDF]
, 2014 We consider a finite mixture of Gaussian regression model for high- dimensional data, where the number of covariates may be much larger than the sample size. We propose to estimate the unknown conditional mixture density by a maximum likelihood estimator,
Devijver, Emilie
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PHYLOGENIES FROM RESTRICTION SITES: A MAXIMUM‐LIKELIHOOD APPROACH [PDF]
Evolution, 1992 Restriction sites data can be analyzed by maximum likelihood to obtain estimates of phylogenies. The likelihood methods of Smouse and Li, who were able to compute likelihoods for up to four species under a simplified model of base change, can be extended numerically to deal with any number of species. The computational methods for doing so are outlined.
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Restricted Type II Maximum Likelihood Priors on Regression Coefficients [PDF]
Bayesian Analysis, 2020 In Bayesian hypothesis testing and model selection, prior distributions must be chosen carefully. For example, setting arbitrarily large prior scales for location parameters, which is common practice in estimation problems, can lead to undesirable behavior in testing (Lindley's paradox).
Peña Pizarro, Víctor, Berger, James O.
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Genetics Selection Evolution, 2005 Principal component analysis is a widely used 'dimension reduction' technique, albeit generally at a phenotypic level. It is shown that we can estimate genetic principal components directly through a simple reparameterisation of the usual linear, mixed ...
Kirkpatrick Mark, Meyer Karin
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