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A Bayesian model for estimating the malaria transition probabilities considering individuals lost to follow-up
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTDLONDON, 2011)
It is known that patients may cease participating in a longitudinal study and become lost to follow-up. The objective of this article is to present a Bayesian model to estimate the malaria transition probabilities considering ...
Evaluating trap cropping strategies for insect pest control through simulation models
(Springer Heidelberg, 2016-09)
Trap cropping is a habitat management strategy where the aim is to reduce damage to the crop of interest by mixing it with other plants that are highly attractive to insect pests. However, despite its potential, the ...
Resposta individual a mudança e comprometimento organizacional: estudo com gestores públicos de Minas Gerais submetidos à avaliação de desempenho individual
(Universidade Federal de Minas GeraisUFMG, 2013-05-20)
The objective of this research is to identify how organizational commitment affects individual response to change presented by state managers underwent Individual Performance Evaluation. To reach the proposed aim we carried ...
IRT models for ability-based guessing
(SAGE PUBLICATIONS INC, 2006)
An ability-based guessing model is formulated and applied to several data sets regarding educational tests ill language and in mathematics. The formulation of the model is such that the probability of a correct guess does ...
Fostering social enterprises through business model innovation and individual social entrepreneurial orientation
Social enterprises have been considered to be the “the second invisible hand of the economic system”. However, there are still few of them and the ones present today usually have two interrelated bottlenecks: lack of funds ...
Modelagem de árvore individual para povoamentos de Khaya ivorensis A. Chev. no BrasilIndividual-tree model of Khaya ivorensis A.Chev. stands in Brasil
(Universidade Federal de LavrasPrograma de Pós-Graduação em Engenharia FlorestalUFLAbrasilDepartamento de Ciências Florestais, 2018)