938 resultados para Non-parametric regression methods
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In this paper a colour texture segmentation method, which unifies region and boundary information, is proposed. The algorithm uses a coarse detection of the perceptual (colour and texture) edges of the image to adequately place and initialise a set of active regions. Colour texture of regions is modelled by the conjunction of non-parametric techniques of kernel density estimation (which allow to estimate the colour behaviour) and classical co-occurrence matrix based texture features. Therefore, region information is defined and accurate boundary information can be extracted to guide the segmentation process. Regions concurrently compete for the image pixels in order to segment the whole image taking both information sources into account. Furthermore, experimental results are shown which prove the performance of the proposed method
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Aunque la trombosis venosa cerebral representa una pequeña proporción de la enfermedad cerebrovascular, su incidencia y prevalencia se han incrementado en los últimos años. Este fenómeno puede ser explicado por la mejoría en el acceso a métodos diagnósticos no invasivos y el desarrollo de técnicas más especializadas de Resonancia Magnética. Por las razones anteriores es necesario conocer las características demográficas y el comportamiento clínico de esta entidad en nuestro medio. Objetivo. El propósito de este estudio es describir las características clínicas y demográficas de pacientes con trombosis venosa cerebral y sus complicaciones en una población clínica de un hospital de IV nivel de Bogotá, Colombia. Métodos. Se analizaron historias clínicas de pacientes con trombosis venosa cerebral para obtener datos sobre los aspectos demográficos, condición clínica y complicaciones. Resultados. Se encontraron 38 registros clínicos, 76,3% mujeres, con un 60,4% de este grupo menor de 40 años. La trombofilia fue el factor de riesgo más común, siendo el síndrome antifosfolípido su principal causa, otras causas importantes fueron el embarazo y puerperio. Conclusión. La trombosis venosa cerebral es una enfermedad frecuente en la práctica clínica. En este estudio las mujeres en edad fértil fueron el grupo más afectado. Aunque no se encontró una relación estadísticamente significativa, las mujeres con síndrome antifosfolípido representaron el grupo con mayor chance de complicaciones. Se necesitan más estudios a futuro con un mayor tamaño de muestra.
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En Colombia el manejo de pacientes en los diferentes servicios hospitalarios han presentado inconvenientes en el combate de infecciones por bacterias y la resistencia de las mismas; el Staphylococcus aureus Escherichia coli y Pseudomonas aeruginosa, han demostrado evolución en la creación de generaciones resistentes y también han participado junto con la Salmonella y el B.cereus en brotes por ETAS como principales microorganismos causales. En el presente estudio se analizó el aceite esencial de la Conobea scoparioides para evaluar su actividad frente a cinco cepas bacterianas. Se obtuvo el AE y se prepararon las bacterias aplicándose pruebas de sensibilidad y no paramétricas para determinar el porcentaje de inhibición, la evaluación de la MIC y comparar la efectividad del aceite vs la estreptomicina. El aceite esencial presentó actividad principalmente contra el B. cereus con el mayor % de inhibición y una MIC de 3.2 ug/ml, caso diferente presentó P. aeruginosa con un % de crecimiento por encima del 50% presentando una MIC de 16.7 ug/ml. Finalmente podemos concluir que se presentó mayor actividad frente a bacterias gram positivas como el caso del B. cereus que en gram negativas con MIC bajas. Estos resultados permite comparar la actividad de la conobea con estudios recientes bajo la misma modalidad que permiten identificar nuevas plantas con actividad biológica y percibir que la conobea es efectiva en mayor proporción frente a bacterias gram positivas.
Productivity growth in electric energy retail in Colombia. A bootstrapped malmquist indices approach
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This paper offers a productivity growth estimate for electric energy commercialization firms in Colombia, using a non-parametric Malmquist bootstrap methodology. The estimation and methodology serve two main purposes. First, in Colombia Commercialization firms are subject to a price-cap regulation scheme, a non-common arrangement in the international experience for this part of the industry. Therefore the paper’s result suggest an estimate of the productivity factor to be used by the regulator, not only in Colombia but in other countries where commercialization is a growing part of the industry (renewable energy, for instance). Second, because of poor data collection from regulators and firms themselves, regulation based on a single estimation of productivity seems inappropriate and error-prone. The nonparametric Malmquist bootstrap estimation allows an assessment of the result in contrast to a single one estimation. This would open an opportunity for the regulator to adopt a narrower and more accurate productivity estimation or override an implausible result and impose a productivity factor in the price-cap to foster the development of the industry.
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This document provides recent evidence about the persistency of wage gaps between formal and informal workers in Colombia by using a non-parametric method proposed by Ñopo (2008a). Over a rich dataset at a household level during 2008-2012, it is found that formal workers earn between 30 to 60 percent more, on average, than informal workers. Despite of the formality definition - structuralist or institucionalist- adopted, it is clear that formal workers have more economic advantages than informal ones, but after controlling by demographic and labor variables an important fraction of the gap still remains unexplained.
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We assess inequality of opportunity in educational achievement in six Latin American countries, employing two waves of PISA data (2006 and 2009). By means of a non-parametric approach using a decomposable inequality index, GE(0), we rank countries according to their degree of inequality of opportunity. We work with alternative characterizations of types: school type (public or private), gender, parental education, and combinations of those variables. We calculate incremental contributions of each set of circumstances to inequality. We provide rankings of countries based on unconditional inequalities (using conventional indices) and on conditional inequalities (EOp indices), and the two sets of rankings do not always coincide. Inequality of opportunities range from less than 1% to up to 27%, with substantial heterogeneity according to the year, the country, the subject and the specificication of circumstances. Robustness checks based on bootstrap and the use of an alternative index confirm most of the initial results.
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El propósito de este estudio es analizar el cambio en magnitud, composición y distribución del gasto de los hogares en los años 1997 y 2003, usando las encuestas de calidad de vida. Este análisis encuentra una gran disminución del gasto per cápita (23.9%), especialmente en zonas urbanas y regiones más adelantadas, reflejo de la crisis económica que golpea al país desde 1998. Este decrecimiento desigual generó una mejor distribución en el 2003 y ocasionó un cambio en la estructura de gastos, llevando a un importante crecimiento de la proporción de los gastos en alimentos y una disminución de los gastos de educación y salud. En el documento se utilizó estadística descriptiva, discriminando por quintiles de cada región y clase (urbano rural). Posteriormente se realizaron estimaciones paramétricas y no paramétricas de las curvas de Engel, para cada rubro, con el fin de identificar su naturaleza.
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Considerando que a prática de exercício físico com uma intensidade pelo menos moderada melhora a capacidade funcional (Maines et al., 1997; Clara et al., 2002; Olney et al., 2006), a qualidade de vida (Leal et al., 2005; Azevedo & Leal, 2009; Flynn et al., 2009) e diminui os fatores de risco coronários (Maines et al., 1997; Squires & Hamm, 2007; Perk, 2009; Pimenta, 2010), propõe-se com o presente estudo analisar o efeito do exercício físico supervisionado, em fase ambulatório precoce, realizada na comunidade, ao nível da recuperação de doentes cardíacos. Método: Aplicar-se-á um estudo experimental, em doentes cardíacos de ambos os sexos, entre os 28 e os 80 anos. Atribuir-se-á particular ênfase às alterações induzidas pela aplicação do programa de exercício físico nos parâmetros bioquímicos (colesterol total, C-LDL, C-HDL, triglicéridos e glicose), na composição corporal (peso, índice de massa corporal, perímetro da cintura), na capacidade funcional (consumo de oxigénio pico –V02 pico, equivalente metabólico, duplo produto), no nível de atividade física, na ingestão alimentar e na qualidade de vida. O estudo terá uma duração superior a três meses, comparando dois grupos, um grupo submetido ao exercício físico supervisionado (ES) e outro aos cuidados usuais (CU), os quais serão alvo de duas avaliações (inicial e final), avaliando-se a média e o desvio-padrão para todas as variáveis em estudo e recorrendo-se aos testes não paramétricos e paramétricos, para um nível de significância de p< .05. Resultados: Foram elegidos 52 doentes, sendo que 22 participaram no grupo cuidados usuais (CU) e 30 no grupo exercício físico supervisionado (ES), observando-se que o grupo ES apresentou melhorias mais acentuadas quando comparadas com o grupo CU, ao nível dos seguintes indicadores: dispêndio de kcal/semana (+697.22% vs +320.20%); PC (-3.19% vs +5.85%); CT (-23.92% vs -9.29%), C-LDL (-32.52% vs -8.92%); total de kcal/dia ingeridas (-33,31% vs -2.58%); VO2 pico (+30.88% vs -3.57%); qualidade de vida geral (+53.86% vs +2.96%). Conclusão: Concluindo que o exercício físico multicomponente, inserido na fase de ambulatório precoce na comunidade, potencia a recuperação de doentes cardíacos influenciando positivamente os fatores de risco de progressão da doença coronária, a capacidade funcional e a qualidade de vida fundamentais para que o doente possa, pelos seus próprios meios, retomar a sua vida na comunidade.
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Two types of ecological thresholds are now being widely used to develop conservation targets: breakpoint-based thresholds represent tipping points where system properties change dramatically, whereas classification thresholds identify groups of data points with contrasting properties. Both breakpoint-based and classification thresholds are useful tools in evidence-based conservation. However, it is critical that the type of threshold to be estimated corresponds with the question of interest and that appropriate statistical procedures are used to determine its location. On the basis of their statistical properties, we recommend using piecewise regression methods to identify breakpoint-based thresholds and discriminant analysis or classification and regression trees to identify classification thresholds.
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The purpose of this study was to improve the prediction of the quantity and type of Volatile Fatty Acids (VFA) produced from fermented substrate in the rumen of lactating cows. A model was formulated that describes the conversion of substrate (soluble carbohydrates, starch, hemi-cellulose, cellulose, and protein) into VFA (acetate, propionate, butyrate, and other VFA). Inputs to the model were observed rates of true rumen digestion of substrates, whereas outputs were observed molar proportions of VFA in rumen fluid. A literature survey generated data of 182 diets (96 roughage and 86 concentrate diets). Coefficient values that define the conversion of a specific substrate into VFA were estimated meta-analytically by regression of the model against observed VFA molar proportions using non-linear regression techniques. Coefficient estimates significantly differed for acetate and propionate production in particular, between different types of substrate and between roughage and concentrate diets. Deviations of fitted from observed VFA molar proportions could be attributed to random error for 100%. In addition to regression against observed data, simulation studies were performed to investigate the potential of the estimation method. Fitted coefficient estimates from simulated data sets appeared accurate, as well as fitted rates of VFA production, although the model accounted for only a small fraction (maximally 45%) of the variation in VFA molar proportions. The simulation results showed that the latter result was merely a consequence of the statistical analysis chosen and should not be interpreted as an indication of inaccuracy of coefficient estimates. Deviations between fitted and observed values corresponded to those obtained in simulations. (c) 2005 Elsevier Ltd. All rights reserved.
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The current energy requirements system used in the United Kingdom for lactating dairy cows utilizes key parameters such as metabolizable energy intake (MEI) at maintenance (MEm), the efficiency of utilization of MEI for 1) maintenance, 2) milk production (k(l)), 3) growth (k(g)), and the efficiency of utilization of body stores for milk production (k(t)). Traditionally, these have been determined using linear regression methods to analyze energy balance data from calorimetry experiments. Many studies have highlighted a number of concerns over current energy feeding systems particularly in relation to these key parameters, and the linear models used for analyzing. Therefore, a database containing 652 dairy cow observations was assembled from calorimetry studies in the United Kingdom. Five functions for analyzing energy balance data were considered: straight line, two diminishing returns functions, (the Mitscherlich and the rectangular hyperbola), and two sigmoidal functions (the logistic and the Gompertz). Meta-analysis of the data was conducted to estimate k(g) and k(t). Values of 0.83 to 0.86 and 0.66 to 0.69 were obtained for k(g) and k(t) using all the functions (with standard errors of 0.028 and 0.027), respectively, which were considerably different from previous reports of 0.60 to 0.75 for k(g) and 0.82 to 0.84 for k(t). Using the estimated values of k(g) and k(t), the data were corrected to allow for body tissue changes. Based on the definition of k(l) as the derivative of the ratio of milk energy derived from MEI to MEI directed towards milk production, MEm and k(l) were determined. Meta-analysis of the pooled data showed that the average k(l) ranged from 0.50 to 0.58 and MEm ranged between 0.34 and 0.64 MJ/kg of BW0.75 per day. Although the constrained Mitscherlich fitted the data as good as the straight line, more observations at high energy intakes (above 2.4 MJ/kg of BW0.75 per day) are required to determine conclusively whether milk energy is related to MEI linearly or not.
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The paper provides one of the first applications of the double bootstrap procedure (Simar and Wilson 2007) in a two-stage estimation of the effect of environmental variables on non-parametric estimates of technical efficiency. This procedure enables consistent inference within models explaining efficiency scores, while simultaneously producing standard errors and confidence intervals for these efficiency scores. The application is to 88 livestock and 256 crop farms in the Czech Republic, split into individual and corporate.
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The paper provides one of the first applications of the double bootstrap procedure (Simar and Wilson 2007) in a two-stage estimation of the effect of environmental variables on non-parametric estimates of technical efficiency. This procedure enables consistent inference within models explaining efficiency scores, while simultaneously producing standard errors and confidence intervals for these efficiency scores. The application is to 88 livestock and 256 crop farms in the Czech Republic, split into individual and corporate.
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A 2-year longitudinal survey was carried out to investigate factors affecting reproduction in crossbred cows on smallholder farms in and around an urban centre. Sixty farms were visited at approximately 2-week intervals and details of reproductive traits and body condition score (BCS) were collected. Fifteen farms were within the town (U), 23 farms were approximately 5 km from town (SU), and 22 farms approximately 10 km from town (PU). Sources of variation in reproductive traits were investigated using a general linear model (GLM) by a stepwise forward selection and backward elimination approach to judge important independent variables. Factors considered for the first step of formulation of the model included location (PU, SU and U), type of insemination, calving season, BCS at calving, at 3 months postpartum and at 6 months postpartum, calving year, herd size category, source of labour (hired and family labour), calf rearing method (bucket and partial suckling) and parity number of the cow. The effects of the independent variables identified were then investigated using a non-parametric survival technique. The number of days to first oestrus was increased on the U site (p = 0.045) and when family labour was used (p = 0.02). The non-parametric test confirmed the effect of site (p = 0.059), but effect of labour was not significant. The number of days from calving to conception was reduced by hiring labour (p = 0.003) and using natural service (p = 0.028). The non-parametric test confirmed the effects of type of insemination (p = 0.0001) while also identifying extended calving intervals on U and SU sites (p = 0.014). Labour source was again non-significant. Calving interval was prolonged on U and SU sites (p = 0.021), by the use of AI (p = 0.031) and by the use of family labour (p = 0.001). The non-parametric test confirmed the effect of site (p = 0.008) and insemination type (p > 0.0001) but not of labour source. It was concluded that under favourable conditions (PU site, hired labour and natural service) calving intervals of around 440 days could be achieved.
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The problem of estimating the individual probabilities of a discrete distribution is considered. The true distribution of the independent observations is a mixture of a family of power series distributions. First, we ensure identifiability of the mixing distribution assuming mild conditions. Next, the mixing distribution is estimated by non-parametric maximum likelihood and an estimator for individual probabilities is obtained from the corresponding marginal mixture density. We establish asymptotic normality for the estimator of individual probabilities by showing that, under certain conditions, the difference between this estimator and the empirical proportions is asymptotically negligible. Our framework includes Poisson, negative binomial and logarithmic series as well as binomial mixture models. Simulations highlight the benefit in achieving normality when using the proposed marginal mixture density approach instead of the empirical one, especially for small sample sizes and/or when interest is in the tail areas. A real data example is given to illustrate the use of the methodology.