Listar Modelización, Optimización e Inferencia Estadística (MODES) por data de publicación
Mostrando ítems 21-40 de 141
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survPresmooth: An R Package for Presmoothed Estimation in Survival Analysis
(American Statistical Association, 2013-08)[Abstract] The survPresmooth package for R implements nonparametric presmoothed estimators of the main functions studied in survival analysis (survival, density, hazard and cumulative hazard functions). Presmoothed versions ... -
Small area estimation of labour force indicators under a multinomial model with correlated time and area effects
(Wiley-Blackwell Publishing Ltd., 2014-09-30)[Abstract] The aim of the paper is the estimation of small area labour force indicators like totals of employed and unemployed people and unemployment rates. Small area estimators of these quantities are derived from four ... -
Cooperation on capacitated inventory situations with fixed holding costs
(Elsevier, 2015-03-16)[Abstract] In this paper we analyze a situation in which several firms deal with inventory problems concerning the same type of product. We consider that each firm uses its limited capacity warehouse for storing purposes ... -
Prediction of forest fires occurrences with area-level Poisson mixed models
(Academic Press, 2015-05-01)[Abstract] The number of fires in forest areas of Galicia (north-west of Spain) during the summer period is quite high. Local authorities are interested in analyzing the factors that explain this phenomenon. Poisson ... -
Empirical best prediction under area-level Poisson mixed models
(Springer, 2015-12-19)[Abstract] The paper studies the applicability of area-level Poisson mixed models to estimate small area counting indicators. Among the available procedures for fitting generalized linear models, the method of moments (MM) ... -
Burned area prediction with semiparametric models
(CSIRO Publishing, 2016-04-27)[Abstract] Wildfires are one of the main causes of forest destruction, especially in Galicia (north-west Spain), where the area burned by forest fires in spring and summer is quite high. This work uses two semiparametric ... -
Comparing conditional survival functions with missing population marks in a competing risks model
(Elsevier, 2016-11-25)[Abstract] In studies involving nonparametric testing of the equality of two or more survival distributions, the survival curves can exhibit a wide variety of behaviors such as proportional hazards, early/late differences, ... -
Estudio métrico sobre la actividad investigadora usando el software libre R: el caso del sistema universitario gallego
(Universidad Nacional Autónoma de México, 2017)[Resumen] Este trabajo representa una nueva alternativa para el estudio, clasificación y comparación de la producción científica de centros de investigación, utilizando las funciones de tratamiento de datos del paquete ... -
Evaluation of Depression in Subacute Low Back Pain: A Case Control Study
(American Society of Interventional Pain Physicians, 2017)[Abstract] Low back pain (LBP) is the most common musculoskeletal disorder affecting the general population and it is believed to be associated with depression. The study aim was to describe and compare the impact in a ... -
Relationship of depression in participants with nonspecific acute or subacute low back pain and no-pain by age distribution
(Dove Press, 2017-01)[Abstract] Background and purpose: Nonspecific low back pain (LBP) is the most prevalent musculoskeletal condition in various age ranges and is associated with depression. The aim of this study was to determine the Beck ... -
Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models
(Elsevier, 2017-01)[Abstract]: A completely nonparametric method for the estimation of mixture cure models is proposed. A nonparametric estimator of the incidence is extensively studied and a nonparametric estimator of the latency is presented. ... -
Nonparametric latency estimation for mixture cure models
(Springer Nature, 2017-06)[Abstract]: A nonparametric latency estimator for mixture cure models is studied in this paper. An i.i.d. representation is obtained, the asymptotic mean squared error of the latency estimator is found, and its asymptotic ... -
Nonparametric geostatistical risk mapping
(2018)In this work, a fully nonparametric geostatistical approach to estimate threshold exceeding probabilities is proposed. To estimate the large-scale variability (spatial trend) of the process, the nonparametric local linear ... -
River flow modelling using nonparametric functional data analysis
(John Wiley & Sons Ltd and The Chartered Institution of Water and Environmental Management (CIWEM), 2018)[Abstract]: Time series and extreme value analyses are two statistical approaches usually applied to study hydrological data. Classical techniques, such as autoregressive integrated moving-average models (in the case of ... -
Transcultural Adaptation and Validation of the Spanish Bristol Foot Score (BFS-S)
(Aging and Disease, 2018)[Abstract] The Bristol Foot Score is considered an instrument for measuring the impact of foot problems and pain. It was developed and validated in United Kingdom. Therefore, this aim was to perform the transcultural ... -
Foot Arch Height and Quality of Life in Adults: A Strobe Observational Study
(MDPI, 2018-07)[Abstract] Background: Variations in the foot structure related with the high or low arch are identified common lower limb conditions, and it is supposed to be the effect on the quality of life (QoL) associated to foot ... -
Molecular basis of Gender Dysphoria: androgen and estrogen receptor interaction
(Elsevier, 2018-08-27)[Abstract] Background: Polymorphisms in sex steroid receptors have been associated with transsexualism. However, published replication studies have yielded inconsistent findings, possibly because of a limited sample size ... -
Nonparametric Inference in Mixture Cure Models
(MDPI, 2018-09)[Abstract]: A completely nonparametric method for the estimation of mixture cure models is proposed. Nonparametric estimators for the cure probability (incidence) and for the survival function of the uncured population ... -
Testing goodness-of-fit of parametric spatial Trends
(M D P I AG, 2018-09-17)[Abstract] The aim of this work is to propose and analyze the behavior of a test statistic to assess a parametric trend surface, that is, a regression model with spatially correlated errors. The asymptotic behavior under ... -
Computationally Efficient Bootstrap Expressions for Bandwidth Selection in Nonparametric Curve Estimation
(M D P I AG, 2018-09-17)[Abstract] Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation with dependent data (smoothed stationary bootstrap and smoothed moving blocks bootstrap), and (2) nonparametric ...
