Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados AgEcon (1) Ciência Rural (1) Autor Bortoluzzi,Mateus Possebon (1) Carpio, Carlos E. (1) Denning, Megan (1) Heldwein,Arno Bernardo (1) Leonardi,Mateus (1) Lucas,Dionéia Daiane Pitol (1) Mohanty, Samarendu (1) Ramirez, Octavio A. (1) Righi,Evandro Zanini (1) Trentin,Roberto (1) Mais... Palavra-chave Probability distribution function (2) C32 (1) Glycine max (1) Nonnormality (1) Numerical analysis (1) Q11 (1) Q18 (1) Supply response (1) Water balance (1) Mais... Tipo do documento Info:eu-repo/semantics/article (1) Journal Article (1) Ano 2017 (1) 2004 (1) País Brazil (1) United States (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Issues and Strategies for Aggregate Supply Response Estimation for Policy Analyses AgEcon Ramirez, Octavio A.; Mohanty, Samarendu; Carpio, Carlos E.; Denning, Megan. We demonstrate the use of the small-sample econometrics principles and strategies to come up with reliable yield and acreage models for policy analyses. We focus on demonstrating the importance of proper representation of systematic and random components of the model for improving forecasting precision along with more reliable confidence intervals for the forecasts. A probability distribution function modeling approach, which has been shown to provide more reliable confidence intervals for the dependent variable forecasts than the standard models that assume error term normality, is used to estimate cotton supply response in the Southeastern United States. Tipo: Journal Article Palavras-chave: Nonnormality; Probability distribution function; Supply response; Q11; Q18; C32. Ano: 2004 URL: http://purl.umn.edu/43420 Risk of water surplus in soybean crop on haplic planosol soil in the Central Depression of Rio Grande do Sul State, Brazil Ciência Rural Bortoluzzi,Mateus Possebon; Heldwein,Arno Bernardo; Trentin,Roberto; Lucas,Dionéia Daiane Pitol; Righi,Evandro Zanini; Leonardi,Mateus. ABSTRACT: The aim of this study was to identify soybean sowing dates on which there was low water surplus risk. The crop was raised on a Haplic Planosol soil in the Central Depression of Rio Grande do Sul, Brazil. Soybean development simulations and daily water balances were calculated for different sowing dates from August 1968 to July 2012. Water surplus data was subjected to BoxPlot analyses and Scott-Knott tests at a 5% error probability. Exponential, gamma, lognormal, normal and Weibull functions were tested and the best fits to the data were obtained for both subperiods and total cycle. The highest number of fits for the development cycle and subperiods were obtained using the gamma and weibull functions, respectively. For sowing carried out after... Tipo: Info:eu-repo/semantics/article Palavras-chave: Glycine max; Water balance; Numerical analysis; Probability distribution function. Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000200205 Registros recuperados: 2 Primeira ... 1 ... Última

Empresa Brasileira de Pesquisa Agropecuária - Embrapa Todos os direitos reservados, conforme Lei n° 9.610 Política de Privacidade Área restrita		Embrapa Parque Estação Biológica - PqEB s/n° Brasília, DF - Brasil - CEP 70770-901 Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco