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	Provedor de dados Agronomy (1) AgEcon (1) Autor Blain, Gabriel Constantino; Instituto Agronômico de Campinas (IAC) (1) Golan, Amos (1) Moretti, Enrico (1) Perloff, Jeffrey M. (1) Palavra-chave Monte Carlo experiments (2) Auto-correlated series (1) Climate change (1) Labor and Human Capital (1) Maximum entropy (1) Pre-whitening (1) Research Methods/ Statistical Methods (1) Sample selection (1) Mais... Tipo do documento Info:eu-repo/semantics/article (1) Working or Discussion Paper (1) Ano 2013 (1) 2001 (1) País Brazil (1) United States (1) Idioma Inglês (1) Português (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última A Small-Sample Estimator for the Sample-Selection Model AgEcon Golan, Amos; Moretti, Enrico; Perloff, Jeffrey M.. A semiparametric estimator for evaluating the parameters of data generated under a sample selection process is developed. This estimator is based on the generalized maximum entropy estimator and performs well for small and ill-posed samples. Theoretical and sampling comparisons with parametric and semiparametric estimators are given. This method and standard ones are applied to three small-sample empirical applications of the wage-participation model for female teenage heads of households, immigrants, and Native Americans. Tipo: Working or Discussion Paper Palavras-chave: Maximum entropy; Sample selection; Monte Carlo experiments; Labor and Human Capital; Research Methods/ Statistical Methods. Ano: 2001 URL: http://purl.umn.edu/25047 The Mann-Kendall test: the need to consider the interaction between serial correlation and trend - doi: 10.4025/actasciagron.v35i4.16006 Agronomy Blain, Gabriel Constantino; Instituto Agronômico de Campinas (IAC). Pre-whitening approaches have been widely used to remove the influence of serial correlations on the Mann-Kendall trend test (MK_prew). However, previous studies indicate that this procedure may lead to a false reduction of the significance of a trend. An alternative approach (MK_interact) has been proposed to improve the assessment of the significance of a trend in auto-correlated data. Therefore, the present study compared the performance of the MK_prew and MK_interact for detecting trends in auto-correlated series. Sets of Monte Carlo experiments were carried out to evaluate the occurrence of type I and II errors obtained from both approaches. The analyses were also based on 10-day values of the difference between precipitation and potential... Tipo: Info:eu-repo/semantics/article Palavras-chave: Monte Carlo experiments; Auto-correlated series; Climate change; Pre-whitening. Ano: 2013 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/16006 Registros recuperados: 2 Primeira ... 1 ... Última

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