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	Provedor de dados AgEcon (2) Autor Cui, James (1) Krause, Jette (1) Palavra-chave Expectation (2) Agricultural yields (1) Bayesian updating (1) Buckley–James method (1) Censoring (1) Climate change (1) Crop Production/Industries (1) Environmental Economics and Policy (1) Research Methods/ Statistical Methods (1) Risk (1) Survival (1) Trend (1) Variance (1) Volatility (1) Mais... Tipo do documento Conference Paper or Presentation (1) Journal Article (1) Ano 2007 (1) 2005 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Agricultural yield expectations under climate change - a Bayesian approach AgEcon Krause, Jette. In the years to come, German wheat, corn and aggregated cereal yields can be expected to show growing deviations from a linearly increasing trend. This results from the Bayesian Updating approach I apply to agricultural yield data. The updating procedure is carried out on a set of hypotheses on yield development, which are weighted in the light of yield data from 1950 through 2006. All hypotheses share the assumption of a linear yield trend with normally distributed variance of actual data from this trend, but differ in regard to possible future developments. The set of hypotheses allows for both the trend and the variance of data to stay unchanged, increase or decrease by 20 per cent from one period to the next. As a result, yield expectations converge to... Tipo: Conference Paper or Presentation Palavras-chave: Bayesian updating; Agricultural yields; Expectation; Risk; Climate change; Trend; Variance; Volatility; Crop Production/Industries; Environmental Economics and Policy. Ano: 2007 URL: http://purl.umn.edu/9273 Buckley–James method for analyzing censored data, with an application to a cardiovascular disease and an HIV/AIDS study AgEcon Cui, James. The Buckley–James method and the Cox proportional hazards model were proposed in the 1970s. Both methods can be used to analyze survival-type data, although the former focuses on calculation of the expected value of the survival time and the latter on the relative risk of explanatory variables on the failure event. In cardiovascular disease epidemiological studies, it is essential to correct the effect of taking antihypertensive medicine, which means we need to calculate the expected blood pressure for people who take the medicine. I developed a Stata program to calculate the Buckley–James estimate. I will describe how to use this program to calculate the expected value of a censored outcome and illustrate the method through an example from a... Tipo: Journal Article Palavras-chave: Buckley–James method; Censoring; Expectation; Survival; Research Methods/ Statistical Methods. Ano: 2005 URL: http://purl.umn.edu/117542 Registros recuperados: 2 Primeira ... 1 ... Última

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