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Registros recuperados: 28 | |
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Bastiani,Fernanda de; Uribe-Opazo,Miguel A.; Dalposso,Gustavo H.. |
A study about the spatial variability of data of soil resistance to penetration (RSP) was conducted at layers 0.0-0.1 m, 0.1-0.2 m and 0.2-0.3 m depth, using the statistical methods in univariate forms, i.e., using traditional geostatistics, forming thematic maps by ordinary kriging for each layer of the study. It was analyzed the RSP in layer 0.2-0.3 m depth through a spatial linear model (SLM), which considered the layers 0.0-0.1 m and 0.1-0.2 m in depth as covariable, obtaining an estimation model and a thematic map by universal kriging. The thematic maps of the RSP at layer 0.2-0.3 m depth, constructed by both methods, were compared using measures of accuracy obtained from the construction of the matrix of errors and confusion matrix. There are... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Geostatistics; Maximum likelihood; Error matrix. |
Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000200019 |
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Mooers, Arne Ø.; Schluter, Dolph. |
How do traits change through time and with speciation? We present a simple and generally applicable method for comparing various models of the macroevolution of traits within a maximum likelihood framework. We illustrate four such models: 1) variance among species accumulates in direct proportion to time separating them (gradual model); 2) variation accumulates with the number of speciation events separating them (speciational model); 3) differences between species are unrelated to phylogenetic relatedness (pitchfork model); and 4) a free model where the trait evolves at its own idiosyncratic rate among lineages. Using species-specific body size, we compare the four models across two data sets: twenty-one clades of vertebrate species, and two clades of... |
Tipo: Article / Letter to the editor |
Palavras-chave: Brownian motion; Macroevolution; Maximum likelihood; Phylogenies; Vertebrate body size; Evolution. |
Ano: 1998 |
URL: http://www.repository.naturalis.nl/record/534379 |
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Schoch, C.L.; Wang, Z.; Townsend, J.P.; Spatafora, J.W.. |
Featuring a high level of taxon sampling across Ascomycota, we evaluate a multi-gene phylogeny and propose a novel order and class in Ascomycota. We describe two new taxa, Geoglossomycetes and Geoglossales, to host three earth tongue genera: Geoglossum, Trichoglossum and Sarcoleotia as a lineage of ‘Leotiomyceta’. Correspondingly, we confirm that these genera are not closely related to the genera Neolecta, Mitrula, Cudonia, Microglossum, Thuemenidum, Spathularia and Bryoglossum, all of which have been previously placed within the Geoglossaceae. We also propose a non-hierarchical system for naming well-resolved nodes, such as ‘Saccharomyceta’, ‘Dothideomyceta’, and ‘Sordariomyceta’ for supraordinal nodes, within the current phylogeny, acting as rankless... |
Tipo: Article / Letter to the editor |
Palavras-chave: Bayesian inference; Hybrid classification; Maximum likelihood. |
Ano: 2009 |
URL: http://www.repository.naturalis.nl/record/532418 |
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Gardner, Justin G.; Eastwood, David B.; Brooker, John R.; Klingeman, William E.. |
This article summarizes a study of consumers' willingness to pay (WTP), in urban areas in Tennessee, Mississippi, and Michigan, for a powdery mildew resistant dogwood tree. Powdery mildew is a disease affecting flowering dogwoods that can limit growth, detract from the appearance, and may cause plant decline and death. Study objectives were to provide information about consumers' WTP and to identify potential marketing strategies for the introduction of the disease-resistant tree. On average, survey respondents indicated they are willing to pay a $13.35 premium for a flowering dogwood tree which is resistant to powdery mildew. Regression results led to inferences that the presence of dogwoods in a respondent's yard, presence of dogwoods infected with... |
Tipo: Journal Article |
Palavras-chave: Contingent valuation; Disease resistance; Dogwood; Marketing; Maximum likelihood; Nursery; Powdery mildew; Crop Production/Industries; Marketing. |
Ano: 2003 |
URL: http://purl.umn.edu/14676 |
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Grendar, Marian; Judge, George G.. |
Methods, like Maximum Empirical Likelihood (MEL), that operate within the Empirical Estimating Equations (E3) approach to estimation and inference are challenged by the Empty Set Problem (ESP). We propose to return from E3 back to the Estimating Equations, and to use the Maximum Likelihood method. In the discrete case the Maximum Likelihood with Estimating Equations (MLEE) method avoids ESP. In the continuous case, how to make ML-EE operational is an open question. Instead of it, we propose a Patched Empirical Likelihood, and demonstrate that it avoids ESP. The methods enjoy, in general, the same asymptotic properties as MEL. |
Tipo: Working or Discussion Paper |
Palavras-chave: Maximum likelihood; Estimating equations; Empirical likelihood; Research Methods/ Statistical Methods. |
Ano: 2010 |
URL: http://purl.umn.edu/56691 |
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Seale, James L., Jr.; Regmi, Anita; Bernstein, Jason. |
The analysis presented here suggests that low-, middle-, and high-income countries all respond differently to changes in income and food prices and, furthermore that low-income countries are more responsive than high-income countries to such changes. These conclusions are based on a two-stage, cross-country demand system fit to the 1996 International Comparison Project (ICP) data for nine broad categories and eight food sub-categories of goods across 114 countries. The broad consumption groups include: food, beverage, and tobacco; clothing and footwear; education; gross rent, fuel, and power; house furnishings and operations; medical care; recreation; transport and communications; and other items. The food sub-groups include bread and cereals, meat, fish,... |
Tipo: Report |
Palavras-chave: Consumption; Cross-country demand; Complete demand system; Food demand; Elasticity; Heteroskedasticity; Maximum likelihood; Food Consumption/Nutrition/Food Safety. |
Ano: 2003 |
URL: http://purl.umn.edu/33580 |
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Chen, Dongling; Seale, James L., Jr.. |
We fit the Florida Model with an AR(1) error structure to pooled cross-country International Comparison Project (ICP) data of Seale, Walker, and Kim and estimate the model with the minimum information (MI) estimator. Point estimates obtained by MI are similar in value to those obtained by Seale, Walker, and Kim with maximum likelihood (ML). Two similar simulations but with different sample sizes are conducted to compare the relative efficiencies of MI and ML with known and unknown (MLU) covariances. In the larger sample, the MLU is more efficient in terms of root-mean-squared errors (RMSEs) than the MI. Noteworthy, in the small sample, the MI is more efficient in terms of RMSEs than MLU, even though MLU explicitly accounts for AR(1), whereas the MI... |
Tipo: Journal Article |
Palavras-chave: Autocorrelation; Cross-country demand; Maximum likelihood; Minimum information; Pooled data. |
Ano: 2003 |
URL: http://purl.umn.edu/43294 |
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Vinzant, Patrick L.; Neibergs, J. Shannon. |
Thoroughbred racehorses are commonly characterized as unprofitable investments. Previous studies, grouping all racehorses together, estimate that over 80% of all racehorses in training fail to earn enough to recover the variable costs of training. However, these studies are not truly representative, because they fail to account for a number of factors affecting profitability. This study estimates expected purse earnings and profitability of claiming horses in Kentucky. Maximum-likelihood estimates of probability distribution parameters show that expected purse earnings follow an exponential distribution with a mean of $25,267. Profitability is best described by a Gamma distribution with a mean of $4,824. Of the 305 claims analyzed for profitability,... |
Tipo: Journal Article |
Palavras-chave: Claiming horses; Financial risk; Maximum likelihood; Probability; Profitability; Thoroughbred; Agribusiness. |
Ano: 1999 |
URL: http://purl.umn.edu/14682 |
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Chagas,César da Silva; Vieira,Carlos Antônio Oliveira; Fernandes Filho,Elpídio Inácio. |
Soil surveys are the main source of spatial information on soils and have a range of different applications, mainly in agriculture. The continuity of this activity has however been severely compromised, mainly due to a lack of governmental funding. The purpose of this study was to evaluate the feasibility of two different classifiers (artificial neural networks and a maximum likelihood algorithm) in the prediction of soil classes in the northwest of the state of Rio de Janeiro. Terrain attributes such as elevation, slope, aspect, plan curvature and compound topographic index (CTI) and indices of clay minerals, iron oxide and Normalized Difference Vegetation Index (NDVI), derived from Landsat 7 ETM+ sensor imagery, were used as discriminating variables. The... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Terrain attributes; Neural networks; Maximum likelihood. |
Ano: 2013 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832013000200005 |
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Registros recuperados: 28 | |
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