Estimation of the Inter-occurrence Time Between Events from Incomplete Data. Analysis of Periods of Unemployment in Spain

Autor: Pilar Olave, José A. Cristóbal, J.T. Alcalá

Publikováno v: Studies in Systems, Decision and Control ISBN: 9783319738475

This work analyzes the stochastic variable representing the waiting times between two consecutive events of a stationary renewal process, such as periods of unemployment of different individuals in a specific population. This data has been obtained t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::26a5aa1be8c7f4b1a8779bf76a33ad1f
https://doi.org/10.1007/978-3-319-73848-2_10

A bootstrap approach to model checking for linear models under length-biased data

Autor: José A. Cristóbal, J.T. Alcalá, Jorge L. Ojeda

Publikováno v: Annals of the Institute of Statistical Mathematics. 60:519-543

In this paper, we propose two bootstrap-based model checking tests for a parametric linear model when data are affected by length-bias. These tests are based on the measure of the discrepancy between nonparametric and parametric estimators for the re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4a490cd59aa72bafbf3ee7d509a08502
https://doi.org/10.1007/s10463-006-0111-3

Nonparametric confidence bands construction for GLM models with length biased data

Autor: José A. Cristóbal, J.T. Alcalá, Jorge L. Ojeda

Publikováno v: Journal of Nonparametric Statistics. 16:421-441

In this work, we propose a nonparametric confidence bands construction for the linear predictor in generalized linear models (GLM) when data is affected by length bias. These confidence bands are suitable to keep track of the behavior of the linear p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2b3ef04d9829c3ee84a2199cecd688c7
https://doi.org/10.1080/10485250310001634746

Nonparametric regression estimators for length biased data

Autor: José A. Cristóbal, J.T. Alcalá

Publikováno v: Journal of Statistical Planning and Inference. 89:145-168

Ordinary kernel regression is not satisfactory when applied to length biased data sampling. In this paper, we propose several estimators of the regression function by way of modified local polynomials, and study their asymptotic optimal bandwidth and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::95d5b3cd2e085ac94bb3c103a268941d
https://doi.org/10.1016/s0378-3758(00)00092-6

Métodos para la suavización de indicadores de mortalidad: aplicación al análisis de desigualdades en mortalidad en ciudades del Estado español (Proyecto MEDEA)

Autor: Miguel A. Martinez-Beneito, Gemma Cano-Serral, Maica Rodríguez-Sanz, J.T. Alcalá, S. Toro, Carme Borrell, Ricardo Ocaña-Riola, M. Antònia Barceló, José Miguel Martínez, Imanol Montoya, Montse Calvo, Marc Saez, Gonzalo López-Abente, Pablo Sánchez-Villegas, Adolfo Figueiras, Carme Saurina

Publikováno v: Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
instname
Gaceta Sanitaria v.22 n.6 2008
SciELO España. Revistas Científicas Españolas de Ciencias de la Salud
Repisalud
Instituto de Salud Carlos III (ISCIII)

Aunque la experiencia en el estudio de las desigualdades en la mortalidad en las ciudades españolas es amplia, quedan grandes núcleos urbanos que no han sido investigados utilizando la sección censal como unidad de análisis territorial. En este c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37475055ba319ec38131913d9e97a597
http://hdl.handle.net/10347/22909