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Inferencia sobre datos no detectados de poblaciones lognormales Colegio de Postgraduados
Ulín Montejo, Fidel.
Frecuentemente, la descripción y comparación de poblaciones con concentraciones de contaminantes se realiza empleando métodos no paramétricos. En la práctica, si las muestras contienen datos no detectados, éstos se omiten o sustituyen por una fracción del límite de detección (LD). Respecto a datos ambientales que contienen datos no detectados, los organismos de regulación ambiental requieren que los riesgos sean caracterizados en términos de la concentración media del contaminante. Este trabajo aborda el problema de descripción, inferencia y comparación de concentraciones medias de poblaciones lognormales mediante una prueba estadística basada en modelos de regresión lineal con variables indicadoras, empleando un enfoque paramétrico. El algoritmo...
Tipo: Tesis Palavras-chave: Algoritmo EM; Distribución lognormal; Máxima verosimilitud; Método de Wald; Modelo lineal mixto; Datos no detectados; Doctorado; Estadística; EM algorithm; Lognormal distribution; Maximum likelihood; Wald’s method; Linear mixed-effects model; Nondetects data.
Ano: 2008 URL: http://hdl.handle.net/10521/1527
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Comparison of maps of spatial variability of soil resistance to penetration constructed with and without covariables using a spatial linear model REA
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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A phylogenomic appraisal of the evolutionary relationship of mycoplasmas Genet. Mol. Biol.
Yotoko,Karla S.C.; Bonatto,Sandro L..
Several genomes of mycoplasmas have been sequenced and here we tried to retrieve the evolutionary relationships of nine species using a phylogenomic approach. Several methods were used to build phylogenetic trees based on protein sequence information, gene-order, and gene-content. We also utilized datasets composed of individual and concatenated sets of orthologous proteins, as well as with reduced unreliable alignment regions. Most of our results converge to a single topology, except for the trees built with both the maximum parsimony method and with the gene-order dataset. The gene-content dataset presented trees consistent with most nodes of the convergent tree, but in the gene-order dataset most internal branches were clearly saturated and unreliable....
Tipo: Info:eu-repo/semantics/article Palavras-chave: Phylogenomic; Mycoplasma; Phylogenetic methods; Maximum likelihood; Maximum parsimony.
Ano: 2007 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000200015
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Fitting macroevolutionary models to phylogenies: an example using vertebrate body sizes Naturalis
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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Geoglossomycetes cl. nov., Geoglossales ord. nov. and taxa above class rank in the Ascomycota Tree of Life Naturalis
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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Soral synapomorphies are significant for the systematics of the Ustilago-Sporisorium- Macalpinomyces complex (Ustilaginaceae) Naturalis
McTaggart, A.R.; Shivas, R.G.; Geering, A.D.W.; Callaghan, B.; Vánky, K.; Scharaschkin, T..
The genera Ustilago, Sporisorium and Macalpinomyces are a polyphyletic complex of plant pathogenic fungi. The four main morphological characters used to define these genera have been considered homoplasious and not useful for resolving the complex. This study re-evaluates character homology and discusses the use of these characters for defining monophyletic groups recovered from a reconstructed phylogeny using four nuclear loci. Generic delimitation of smut fungi based on their hosts is also discussed as a means for identifying genera within this group. Morphological characters and host specificity can be used to circumscribe genera within the Ustilago-Sporisorium-Macalpinomyces complex.
Tipo: Article / Letter to the editor Palavras-chave: Columella; Maximum likelihood; Morphology; Peridium; Smut fungi; Spore balls; Sterile cells; Systematics; Ustilaginales.
Ano: 2012 URL: http://www.repository.naturalis.nl/record/531878
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CONSUMERS' VALUATION OF DISEASE-RESISTANT NURSERY STOCK: A CASE STUDY OF DOGWOODS AgEcon
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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From the help desk: Demand system estimation AgEcon
Poi, Brian P..
This article provides an example illustrating how to use Stata to estimate systems of household demand equations. More generally, the techniques developed here can be used to estimate any system of nonlinear equations using Stata’s maximum likelihood routines.
Tipo: Journal Article Palavras-chave: Nonlinear estimation; Maximum likelihood; Demand equations; Research Methods/ Statistical Methods.
Ano: 2002 URL: http://purl.umn.edu/116025
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Review of Maximum Likelihood Estimation with Stata by Gould, Pitblado, and Sribney AgEcon
Jenkins, Stephen P..
This article reviews Maximum Likelihood Estimation with Stata by Gould, Pitblado, and Sribney.
Tipo: Journal Article Palavras-chave: Maximum likelihood; Stata programming; Research Methods/ Statistical Methods.
Ano: 2003 URL: http://purl.umn.edu/116200
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Maximum likelihood with estimating equations AgEcon
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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INTERNATIONAL EVIDENCE ON FOOD CONSUMPTION PATTERNS AgEcon
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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Maximum likelihood estimation of endogenous switching regression models AgEcon
Lokshin, Michael; Sajaia, Zurab.
This article describes the movestay Stata command, which implements the maximum likelihood method to fit the endogenous switching regression model.
Tipo: Journal Article Palavras-chave: Movestay; Endogenous variables; Maximum likelihood; Limited dependent variables; Switching regression; Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116249
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Maximum likelihood and two-step estimation of an ordered-probit selection model AgEcon
Chiburis, Richard; Lokshin, Michael.
We discuss the estimation of a regression model with an ordered-probit selection rule. We have written a Stata command, oheckman, that computes two-step and full-information maximum-likelihood estimates of this model. Using Monte Carlo simulations, we compare the performances of these estimators under various conditions.
Tipo: Article Palavras-chave: Oheckman; Selection bias; Ordered probit; Maximum likelihood; Research Methods/ Statistical Methods.
Ano: 2007 URL: http://purl.umn.edu/119266
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The Informational Fit and Maximum Likelihood in a Pooled Cross-Country Demand System with Autocorrelation AgEcon
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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Demand–system estimation: Update AgEcon
Poi, Brian P..
The nlsur command is better suited to demand-system estimation than the suite of ado-files provided in Poi (2002, Stata Journal 2: 403–410) because it is faster and requires only one ancillary ado-file. This article replicates the results presented in Poi (2002) by using nlsur instead of ml.
Tipo: Article Palavras-chave: Nlsur; Demand-system estimation; Nonlinear estimation; Maximum likelihood; Demand equations; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/122621
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MAXIMUM-LIKELIHOOD ESTIMATES OF RACEHORSE EARNINGS AND PROFITABILITY AgEcon
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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Comparison between artificial neural networks and maximum likelihood classification in digital soil mapping Rev. Bras. Ciênc. Solo
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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Slash Spatial Linear Modeling: Soybean Yield Variability as a Function of Soil Chemical Properties Rev. Bras. Ciênc. Solo
Fagundes,Regiane Slongo; Uribe-Opazo,Miguel Angel; Guedes,Luciana Pagliosa Carvalho; Galea,Manuel.
ABSTRACT: In geostatistical modeling of soil chemical properties, one or more influential observations in a dataset may impair the construction of interpolation maps and their accuracy. An alternative to avoid the problem would be to use most robust models, based on distributions that have heavier tails. Therefore, this study proposes a spatial linear model based on the slash distribution (SSLM) in order to characterize the spatial variability of soybean yields as a function of soil chemical properties. The likelihood ratio statistic (LR) was applied to verify the significance of parameters associated with the model. We evaluated the sensitivity of the maximum likelihood estimators by means of local influence analysis for both the soybean response and the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Spatial variability; Slash distribution; Maximum likelihood; Yield estimators.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100301
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Diagnostic techniques applied in geostatistics for agricultural data analysis Rev. Bras. Ciênc. Solo
Borssoi,Joelmir André; Uribe-Opazo,Miguel Angel; Galea Rojas,Manuel.
The structural modeling of spatial dependence, using a geostatistical approach, is an indispensable tool to determine parameters that define this structure, applied on interpolation of values at unsampled points by kriging techniques. However, the estimation of parameters can be greatly affected by the presence of atypical observations in sampled data. The purpose of this study was to use diagnostic techniques in Gaussian spatial linear models in geostatistics to evaluate the sensitivity of maximum likelihood and restrict maximum likelihood estimators to small perturbations in these data. For this purpose, studies with simulated and experimental data were conducted. Results with simulated data showed that the diagnostic techniques were efficient to...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Local influence; Maximum likelihood; Restricted maximum likelihood.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832009000600005
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Mixture models in quantitative genetics and applications to animal breeding R. Bras. Zootec.
Gianola,Daniel; Boettcher,Paul J.; Ødegård,Jørgen; Heringstad,Bjørg.
Finite mixture models are helpful for uncovering heterogeneity due to hidden structure; for example, unknown major genes. The first part of this article gives examples and reviews quantitative genetics issues of continuous characters having a finite mixture of Gaussian components. The partition of variance in a mixture, the covariance between relatives under the supposition of an additive genetic model and the offspring-parent regression are derived. Formulae for assessing the effect of mass selection operating on a mixture are given. Expressions for the genetic correlation between a mixture and a Gaussian trait are presented. If there is heterogeneity in a population at the genetic or environmental levels, then genetic parameters based on theory treating...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Bayesian methods; Dairy cattle; Maximum likelihood; Mixture distributions; Quantitative genetics; Somatic cell scores.
Ano: 2007 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982007001000017
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