Listar GI-MODES - Artigos por título
Mostrando ítems 101-120 de 122
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Recursive local polynomial regression under dependence conditions
(Springer, 2000)In the case of the random design nonparametric regression, one recursive local polynomial smoother is considered. Expressions for the bias and the variance matrix of the estimators of the regression function and its ... -
Rejoinder on: Nonparametric estimation in mixture cure models with covariates
(Springer Nature, 2023-06)[Abstract]: We thank all discussants for their insightful comments on our paper [López-Cheda, A., Peng, Y. & Jácome, M.A. Nonparametric estimation in mixture cure models with covariates. TEST 32, 467–495 (2023). ... -
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 ... -
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 ... -
Selection model for domains across time: application to labour force survey by economic activities
(Springer Nature, 2021-03)[Abstract]: This paper introduces a small area estimation approach that borrows strength across domains (areas) and time and is efficiently used to obtain labour force estimators by economic activity. Specifically, the ... -
Sharing delay costs in stochastic scheduling problems with delays
(Springer, 2020)[Abstract]: An important problem in project management is determining ways to distribute amongst activities the costs that are incurred when a project is delayed because some activities end later than expected. In this ... -
Simultaneous Inference for Empirical Best Predictors With a Poverty Study in Small Areas
(Taylor and Francis Group, 2023-01)[Abstract]: Today, generalized linear mixed models (GLMM) are broadly used in many fields. However, the development of tools for performing simultaneous inference has been largely neglected in this domain. A framework for ... -
Simultaneous inference for linear mixed model parameters with an application to small area estimation
(John Wiley & Sons, 2022)[Abstract]: Over the past decades, linear mixed models have attracted considerable attention in various fields of applied statistics. They are popular whenever clustered, hierarchical or longitudinal data are investigated. ... -
Small area estimation of average compositions under multivariate nested error regression models
(Springer Science and Business Media Deutschland GmbH, 2023)[Abstract]: This paper investigates the small area estimation of population averages of unit-level compositional data. The new methodology transforms the compositions into vectors of Rm and assumes that the vectors follow ... -
Small area estimation of expenditure means and ratios under a unit-level bivariate linear mixed model
(Taylor and Francis Group, 2022)[Abstract]: Under a unit-level bivariate linear mixed model, this paper introduces small area predictors of expenditure means and ratios, and derives approximations and estimators of the corresponding mean squared errors. ... -
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 ... -
Small area estimation of proportions under area-level compositional mixed models
(Springer Nature, 2020-09)[Abstract]: This paper introduces area-level compositional mixed models by applying transformations to a multivariate Fay–Herriot model. Small area estimators of the proportions of the categories of a classification variable ... -
Small area prediction of proportions and counts under a spatial Poisson mixed model
(Springer Nature, 2023-10-31)[Abstract]: This paper introduces an area-level Poisson mixed model with SAR(1) spatially correlated random effects. Small area predictors of proportions and counts are derived from the new model and the corresponding mean ... -
Statistical Quality Control with the qcr Package
(Technische Universitaet Wien, 2021)[Abstract] The R package qcr for Statistical Quality Control (SQC) is introduced and described. It includes a comprehensive set of univariate and multivariate SQC tools that completes and increases the SQC techniques ... -
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 ... -
The bootstrap for testing the equality of two multivariate time series with an application to financial markets
(Elsevier, 2022)[Abstract]: The problem of testing the equality of the generating processes of two multivariate time series is addressed in this work. To this aim, we construct four tests based on a distance measure between stochastic ... -
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 ... -
TTS package: Computational tools for the application of the Time Temperature Superposition principle
(Elsevier, 2023)[Abstract]: The TTS package has been developed in R software to predict the mechanical properties of viscoelastic materials, at short and long observation times/frequencies by applying the Time Temperature Superposition ... -
Two novel distances for ordinal time series and their application to fuzzy clustering
(Elsevier B.V., 2023-09-30)[Abstract]: Time series clustering is a central machine learning task with applications in many fields. While the majority of the methods focus on real-valued time series, very few works consider series with discrete ... -
Two-stage optimization methods to solve the DNA-sample allocation problem
(MDPI, 2022-11)[Abstract]: This paper deals with new methods capable of solving the optimization problem concerning the allocation of DNA samples in plates in order to carry out the DNA sequencing with the Sanger technique. These methods ...
