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| Registros recuperados: 13 | |
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| Tong,Chunfa; Zhang,Bo; Li,Huogen; Shi,Jisen. |
| Statistical methods for mapping quantitative trait loci (QTLs) in full-sib forest trees, in which the number of alleles and linkage phase can vary from locus to locus, are still not well established. Previous studies assumed that the QTL segregation pattern was fixed throughout the genome in a full-sib family, despite the fact that this pattern can vary among regions of the genome. In this paper, we propose a method for selecting the appropriate model for QTL mapping based on the segregation of different types of markers and QTLs in a full-sib family. The QTL segregation patterns were classified into three types: test cross (1:1 segregation), F2 cross (1:2:1 segregation) and full cross (1:1:1:1 segregation). Akaike's information criterion (AIC), the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Full-sib family; Interval mapping; Model selection; Quantitative trait locus. |
| Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000400013 |
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| Lehuta, Sigrid; Petitgas, Pierre; Mahevas, Stephanie; Huret, Martin; Vermard, Youen; Uriarte, Andres; Record, Nicholas R.. |
| Assessing the validity of a model is essential for its credibility especially when the model is used as decision making tool. Complex dynamic fishery models are recommended to investigate the functioning of fisheries and to assess the impact of management strategies, particularly spatial fishing regulations. However, their use is limited due to the difficulty and computational cost of parameterizing and gaining confidence, particularly for parameter rich models. These difficulties are compounded by uncertainty regarding parameter values, many of which are often taken from literature or estimated indirectly. Here we propose a methodology to improve confidence and understanding in the model, easily transferable to any complex model. The approach combines... |
| Tipo: Text |
Palavras-chave: Bay of Biscay anchovy; Dynamic fishery model; Model selection; Uncertainty; Validation. |
| Ano: 2013 |
URL: http://archimer.ifremer.fr/doc/00148/25965/24150.pdf |
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| Loots, Christophe; Vaz, Sandrine; Planque, Benjamin; Koubbi, Philippe. |
| The processes that control the spatial distribution of North Sea whiting (Merlangius merlangus) spawning adults are investigated using a statistical multi-model approach. Models of external and internal controls on the population, such as environmental conditions, spatial constraints, present or past spatial distribution, and demographic state of the population, are evaluated, compared and ranked to select those that are the best able to predict the observed distribution of spawning adults. Model selection is greatly influenced by the selection method, either based on data fitting or prediction, as well as by the threshold value used to stop the selection. Model selection based on prediction tends to select simpler models than selection based on data... |
| Tipo: Text |
Palavras-chave: Akaike information criterion; Hypotheses inference; Model selection; North Sea; Spawning distribution; Whiting. |
| Ano: 2011 |
URL: http://archimer.ifremer.fr/doc/00022/13313/11361.pdf |
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| Barten, Anton P.. |
| Falsification of nontrivial empirical statements, of a statistical nature or not, is basically destructive. No wonder that it is rarely practiced. Rather than then abandoning a rejected null hypothesis, one tries to salvage it by looking for reasons why the rejection of an otherwise credible, plausible hypothesis occurs. One then attempts to modify the set-up in such a manner that formal rejection is avoided. Testing, in general, but specifically of nonnested hypotheses, can be seen as a kind of model selection. These issues are illustrated with examples from applied demand analysis: the testing of the homogeneity condition and of Slutsky symmetry and the choice of functional form for demand systems. |
| Tipo: Journal Article |
Palavras-chave: Demand analysis; Falsification; Homogeneity condition; Model selection; Symmetry condition. |
| Ano: 2003 |
URL: http://purl.umn.edu/43219 |
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| Cranfield, John A.L.. |
| A rational rank four AIDS model (RAIDS) is used to estimate consumer demands for final goods and services in countries spanning the development spectrum. RAIDS is used as it provides more general price and expenditure responses. It also nests the Quadratic and non-liner AIDS models. RAIDS is estimated using the entire sample and sub-samples based on the country's level of per capita expenditure. Results indicate selection of nested functional form differs by sub-sample. AIDS is selected for the low per capita expenditure countries, sample is considered. Differences in parameter estimates manifest themselves in price and Engel elasticities. Such differences warrant caution when using global demand systems to undertake policy analysis. |
| Tipo: Working or Discussion Paper |
Palavras-chave: Consumer demand; Model selection; Demand system rank; Demand and Price Analysis. |
| Ano: 2005 |
URL: http://purl.umn.edu/34111 |
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| Fousekis, Panos; Revell, Brian J.. |
| A differential approach is employed to analyze demand for meat in the United Kingdom during 1989-99. Differential demand systems with fixed price effects (Rotterdam and CBS) better explain consumers retail purchase allocation decisions for beef, lamb, pork, bacon and poultry compared with models containing variable price effects (NBR and differential AIDS). The real expenditures and the Hicksian demand elasticities are generally found to be quite different from earlier studies using AIDS models. A quality change index of meat consumption is constructed from the estimated CBS model estimation results and decomposed into real expenditure, substitution, trend, seasonal and residual effects. |
| Tipo: Journal Article |
Palavras-chave: Meat demand; Differential approach; Model selection; UK; Demand and Price Analysis. |
| Ano: 2000 |
URL: http://purl.umn.edu/15401 |
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| Silva,Hugo Teixeira; Silva,Fabyano Fonseca e; Ferreira,Aloízio Soares; Veroneze,Renata; Lopes,Paulo Sávio. |
| ABSTRACT: We evaluated the inclusion of information on genetic relationship into the analysis of crude protein requirement in diets for pigs of Brazilian Piau breed, using Bayesian inference. The animals were assigned to treatments in a completely randomized design in factorial scheme 4 × 2 (crude protein levels × sex) with 12 repetitions per treatment. The evaluations were carried out in the initial, growing and finishing phases, and after slaughter. The traits evaluated were feed conversion (FC), backfat thickness (BF), daily weight gain (DWG), daily feed intake (DFI) and some carcass cuts. Three models were considered to evaluate the inclusion of information on genetic relationship into the analysis: Model I, a simple linear model; Model II, the same... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Bayesian inference; Genetic relationship; Model selection; Performance. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019001300208 |
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| Registros recuperados: 13 | |
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