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	Provedor de dados AgEcon (2) Repositório Alice (1) Anais da ABC (AABC) (1) Autor ALMEIDA,MARCO P. (1) AZEVEDO, C. F. (1) Conroy, Ronan M. (1) GUIMARÃES, S. E. F. (1) LOPES, P. S. (1) LOUZADA,FRANCISCO (1) MARTINS FILHO, S. (1) RAMOS,PEDRO L. (1) RESENDE, M. D. V. de (1) SANTOS, V. S. (1) SILVA, F. F. (1) TOMAZELLA,VERA L.D. (1) Tisdell, Clement A. (1) Wilson, Clevo (1) Mais... Palavra-chave Censored data (4) Animal breeding (1) Bayesian analysis (1) Bayesian prediction (1) Bounded rationality (1) Diagnostic plots (1) GBLUP (1) Intreg (1) Mixed model (1) Modelo mixto (1) Objective prior (1) Ordinary Least Squares (1) Porco (1) Public Economics (1) Regressand (1) Research Methods/ Statistical Methods (1) Survival models (1) Suíno (1) Swine (1) Tobit (1) Mais... Tipo do documento Artigo de periódico (1) Info:eu-repo/semantics/article (1) Journal Article (1) Working or Discussion Paper (1) Ano 2019 (1) 2016 (1) 2005 (1) 2002 (1) País Brazil (2) United States (2) Idioma Inglês (4)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 4 Primeira ... 1 ... Última OLS and Tobit Estimates: When is Substitution Defensible Operationally? AgEcon Wilson, Clevo; Tisdell, Clement A.. Field data are used to illustrate that, other things constant, regression results using Ordinary Least Squares (OLS) converge to Tobit estimates as the number of zeros in the regressand decrease. Tobit estimates are theoretically superior to OLS estimates when using censored data. However, if little difference exists between OLS and Tobit estimates, OLS may be operationally acceptable. OLS may even be optimal in a bounded rationality sense because the extra cost of using Tobit analysis may be less than the extra benefits from a very slight increase in accuracy. Tipo: Working or Discussion Paper Palavras-chave: Bounded rationality; Censored data; Ordinary Least Squares; Tobit; Regressand; Willingness to pay studies.; Public Economics. Ano: 2002 URL: http://purl.umn.edu/90519 Stings in the tails: Detecting and dealing with censored data AgEcon Conroy, Ronan M.. Variables often show evidence of clustering at extreme values and of graininess, that is, of a limited number of distinct values. Scores on two subscales of a quality-of-life measure, traditionally analyzed with OLS regression or ANOVA models, provide examples. Ignoring or failing to detect such features of the data will result in poor estimates of effect size. Tipo: Journal Article Palavras-chave: Censored data; Diagnostic plots; Intreg; Research Methods/ Statistical Methods. Ano: 2005 URL: http://purl.umn.edu/117528 Genomic prediction for additive and dominance effects of censored traits in pigs. Repositório Alice SANTOS, V. S.; MARTINS FILHO, S.; RESENDE, M. D. V. de; AZEVEDO, C. F.; LOPES, P. S.; GUIMARÃES, S. E. F.; SILVA, F. F.. Age at the time of slaughter is a commonly used trait in animal breeding programs. Since studying this trait involves incomplete observations (censoring), analysis can be performed using survival models or modified linear models, for example, by sampling censored data from truncated normal distributions. For genomic selection, the greatest genetic gains can be achieved by including non-additive genetic effects like dominance. Thus, censored traits with effects on both survival models have not yet been studied under a genomic selection approach. We aimed to predict genomic values using the Cox model with dominance effects and compare these results with the linear model with and without censoring. Linear models were fitted via the maximum likelihood method.... Tipo: Artigo de periódico Palavras-chave: GBLUP; Modelo mixto; Censored data; Mixed model; Survival models; Porco; Suíno; Swine; Animal breeding. Ano: 2016 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1072712 Improved Bayes estimators and prediction for the Wilson-Hilferty distribution Anais da ABC (AABC) RAMOS,PEDRO L.; ALMEIDA,MARCO P.; TOMAZELLA,VERA L.D.; LOUZADA,FRANCISCO. Abstract: In this paper, we revisit the Wilson-Hilferty distribution and presented its mathematical properties such as the r-th moments and reliability properties. The parameters estimators are discussed using objective reference Bayesian analysis for both complete and censored data where the resulting marginal posterior intervals have accurate frequentist coverage. A simulation study is presented to compare the performance of the proposed estimators with the frequentist approach where it is observed a clear advantage for the Bayesian method. Finally, the proposed methodology is illustrated on three real datasets. Tipo: Info:eu-repo/semantics/article Palavras-chave: Bayesian analysis; Bayesian prediction; Censored data; Objective prior; Wilson-Hilferty distribution.. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000500202 Registros recuperados: 4 Primeira ... 1 ... Última

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