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Mostrando ítems 11-20 de 20
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 ...
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 ...
Bootstrap Bandwidth Selection and Confidence Regions for Double Smoothed Default Probability Estimation
(MDPI, 2022)
[Abstract] For a fixed time, t, and a horizon time, b, the probability of default (PD) measures the probability that an obligor, that has paid his/her credit until time t, runs into arrears not later that time t+b. This ...
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 ...
Nonparametric Estimation in Mixture Cure Models with Covariates
(Springer Nature, 2023-05-17)
[Abstract] Nonparametric estimation methods for the cure rate and the distribution of the failure time of uncured subjects with covariates for censored survival data have attracted much attention in the last few years. To ...
Goodness-of-fit tests for multiple regression with circular response
(2022)
[Abstract]: Testing procedures for assessing a parametric regression model with a circular response and an Rd-valued covariate are proposed and analysed in this work. The test statistics are based on a circular distance ...
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). ...
Nonparametric covariate hypothesis tests for the cure rate in mixture cure models
(John Wiley & Sons, 2020-06)
[Abstract]: In lifetime data, like cancer studies, there may be long term survivors, which lead to heavy censoring at the end of the follow-up period. Since a standard survival model is not appropriate to handle these data, ...
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 Conditional Risk Mapping Under Heteroscedasticity
(Springer Nature, 2024-03)
[Absctract]: A nonparametric procedure to estimate the conditional probability that a nonstationary geostatistical process exceeds a certain threshold value is proposed. The method consists of a bootstrap algorithm that ...