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| Registros recuperados: 2.166 | |
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| Meszaros, Sandor. |
| According to Karl Popper, economics and agricultural economics should be deemed scientific if the theories (hypotheses) are subject to strict tests. The testing of agro-economic theories goes back 50 years in the USA, Canada, Europe, and Japan, and these methods are becoming increasingly part of educational research methodology. In fact, the author of this paper teaches this very subject at Debrecen University, and for this reason has endeavoured to provide an overview on current trends in this field. The present overview first discusses the role of testing in the research process (cognition), and then analyses the various classification methods (types) of testing. It deals in detail with the application of the (microeconomic) production-theory in... |
| Tipo: Journal Article |
Palavras-chave: Theory testing; Hypotheses testing; Economics; Agricultural economics; Production-theory; Research Methods/ Statistical Methods. |
| Ano: 2008 |
URL: http://purl.umn.edu/46658 |
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| Doole, Graeme J.; Pannell, David J.. |
| Simulation models are valuable tools in the analysis of complex, highly constrained economic systems unsuitable for solution by mathematical programming. However, model size may hamper the efforts of practitioners to efficiently identify the most valuable configurations. This paper investigates the efficacy of a new metaheuristic procedure, compressed annealing, for the solution of large, constrained systems. This algorithm is used to investigate the value of incorporating a sown annual pasture, French serradella (Ornithopus sativa Brot. cv. Cadiz), between extended cropping sequences in the central wheat belt of Western Australia. Compressed annealing is shown to be a reliable means of considering constraints in complex optimisation problems in... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Combinatorial optimisation; Crop rotation; Simulated annealing; Research Methods/ Statistical Methods; C63; Q15. |
| Ano: 2007 |
URL: http://purl.umn.edu/10438 |
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| Jolliffe, Dean. |
| Essentially all empirical questions that are addressed with sample data require estimates of sampling variance. The econometrics and statistics literatures show that these estimates depend critically on the design of the sample. The sample for the U.S. Current Population Survey (CPS), which serves as the basis for official poverty, unemployment, and earnings estimates, results from a stratified and clustered design. Unfortunately, analysts are frequently unable to estimate sampling variance for many CPS statistics because the variables marking the strata and clusters are censored from the public-use data files. To compensate for this, the Bureau of Census provides a method to approximate the sampling variance for several, specific point estimates, but no... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Research Methods/ Statistical Methods. |
| Ano: 2002 |
URL: http://purl.umn.edu/19628 |
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| Luo, Xin-mao; He, Hong-wei; Ke, Xin-li. |
| Taking Zhongxiang City, Hubei Province, China as an example, evaluation index system of urban land intensive use is established from four aspects of land economic benefit, land utilization degree, investment intensity, and sustainable utilization. Analytic Hierarchy Process (AHP) is used to determine the weight of evaluation index in research region. Taking the index numerical value of Hubei Province as the standard value, index value of the research region is evaluated. Combining with the index weight obtained by AHP, urban land intensive use is evaluated by the weighted average. Result shows that land intensive use level of Zhongxiang City is much lower than the average level of Hubei Province. Therefore, urban land of Zhongxiang City is of is great... |
| Tipo: Thesis or Dissertation |
Palavras-chave: Urban land; Intensive use; Analytic Hierarchy Process; Zhongxiang City; China; Land Economics/Use; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy. |
| Ano: 2009 |
URL: http://purl.umn.edu/58482 |
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| Lambert, Paul C.. |
| Cure models are a special type of survival analysis model where it is assumed that there are a proportion of subjects who will never experience the event and thus the survival curve will eventually reach a plateau. In population-based cancer studies, cure is said to occur when the mortality (hazard) rate in the diseased group of individuals returns to the same level as that expected in the general population. The cure fraction is of interest to patients and a useful measure to monitor trends and differences in survival of curable disease. I will describe the strsmix and strsnmix commands, which t the two main types of cure fraction model, namely, the mixture and nonmixture cure fraction models. These models allow incorporation of the expected background... |
| Tipo: Article |
Palavras-chave: Strsmix; Strsnmix; Predict; Relative survival; Cure models; Split population models; Postestimation; Research Methods/ Statistical Methods. |
| Ano: 2007 |
URL: http://purl.umn.edu/119281 |
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| Registros recuperados: 2.166 | |
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