SORT (Statistics and Operations Research Transactions)

SORT (ISSN 1696-2281, eISSN 2013-8830) és una publicació semestral d'àmbit internacional editada per l'Idescat a partir de l'any 2003. Publicada íntegrament en anglès (amb resums en català). SORT promou la publicació d'articles originals d'estadística aplicada i metodologia estadística, investigació operativa, estadística oficial i biometria, així com la recensió de llibres i altres publicacions en aquests àmbits. SORT representa la tercera sèrie de QÜESTIIÓ (ISSN 0210-8054, eISSN 2013-8849), publicada des del 1977 fins al 2002.
SORT (ISSN 1696-2281, eISSN 2013-8830) is an international journal launched in 2003 and published twice-yearly. It is edited by he Statistical Institute of Catalonia (Idescat) in English (with abstracts in catalan). SORT promotes the publication of original articles of a methodological or applied nature on statistics, operations research, official statistics and biometrics as well as book reviews. SORT represents the third series of the QÜESTIIÓ (ISSN 0210-8054, eISSN 2013-8849), published since 1977 until 2002.
Patrocinadors / Sponsors:
Universitat Politècnica de Catalunya
Universitat Autonòma de Barcelona
Regió Espanyola de la Societat Internacional de Biometria (col·laboració / co-operation)
Editor / Publisher:
Idescat (Institut d'Estadística de Catalunya). Via Laietana, 58 - 08003 Barcelona. SPAIN. Tel. +34−93.412.09.24 — Fax +34−93.412.31.45. sort@idescat.net
Cap d'edició / Editor in chief:
Montserrat Guillén (Universitat de Barcelona)
Editors executius / Executive editors:
Guadalupe Gómez (Universitat Politècnica de Catalunya)
Esteve Codina (Universitat Politècnica de Catalunya)
Pere Puig (Universitat Autònoma de Barcelona)
Enric Ripoll (Institut d'Estadística de Catalunya)
Albert Sorribas (Universitat de Lleida)
Consell editor / E ditorial Advisory Committee:
-
John Aitchison (University of Glasgow, Dept. of Statistics)
-
Jesús R. Artalejo (Universidad Complutense, Dpto. de Estadística e Investigación Operativa)
-
Manuel Artís (Universitat de Barcelona, Dept. d'Econometria, Estadística i Economia Espanyola)
-
Jaume Barceló (Universitat Politècnica de Catalunya, Dept. d'Estadística i Investigació Operativa)
-
M Jesús Bayarri (Universitat de València, Dept. d'Estadística i Investigació Operativa)
-
Eduard Bonet (ESADE-Universitat Ramon Llull, Dept. de Mètodes Quantitatius)
-
Carles M. Cuadras (Universitat de Barcelona, Dept. d'Estadística (Past Editor in Chief 2003–2006)
-
Josep Domingo-Ferrer (Universitat Rovira i Virgili, Dept. d'Enginyeria Informàtica i Matemàtiques)
-
Laureano F. Escudero (Universidad Miguel Hernández, Centro de Investigación Operativa)
-
Francisco R. Fernández (Universidad de Sevilla, Dpto. de Estadística e Investigación Operativa)
-
Josep Fortiana (Universitat de Barcelona, Dept. d'Estadística)
-
Robert Garfinkel (University of Connecticut, Dept. of Operations and Information Management)
-
Ubaldo G. Palomares (Universidad Simón Bolívar, Dpto. de Procesos y Sistemas)
-
Montserrat Herrador (Instituto Nacional de Estadística)
-
Maria Jolis (Universitat Autònoma de Barcelona, Dept. de Matemàtiques)
-
Pierre Joly (École Nationale de la Statistique et de l'Analyse de l'Information)
-
Wojtek J. Krzanowski (University of Exeter, Dept. of Statistics and Operational Research)
-
Stephen Lagakos (University of Harvard, Dept. of Biostatistics)
-
Ludovic Lebart (Centre Nationale de la Recherche Scientifique)
-
Manuel Martí (Universitat Politècnica de Catalunya, Dept. d'Estadística i Investigació Operativa)
-
Heinz Neudecker (University of Amsterdam, Dept. of Econometrics)
-
Josep M. Oller (Universitat de Barcelona, Dept. d'Estadística)
-
Javier Prieto (Universidad Carlos III de Madrid, Dpto. de Estadística y Econometría)
-
C. Radhakrishna Rao (Penn State University, Center for Multivariate Analysis)
-
Albert Satorra (Universitat Pompeu Fabra, Dept. d'Economia i Empresa)
-
Michael Stephens (Simon Fraser University, Dept. of Statistics & Actuarial Science)
-
Santiago Thió (Universitat de Girona, Dept. d'Informàtica i Matemàtica Aplicada)
-
Vladimir Zaiats (Universitat de Vic, Dept. d'Informàtica i Matemàtica)
Dipòsit Legal / Legal Deposit: B-46.085-1977
I.S.S.N.: 1696-2281
e-I.S.S.N.: 2013-8830
Web site: https://upcommons.upc.edu/revistes/handle/2099/3717
e-ISSN: 2013-8830
DL:
(versió electrònica)Tots els articles d'aquesta revista es poden reproduir, distribuir i comunicar públicament per internet d'acord amb les condicions de la llicència Creative Commons corresponent.
Collections in this community
Recent Submissions
-
Kernel Weighting for blending probability and non-probability survey samples
(Institut d'Estadística de Catalunya, 2024-05-06)
Article
Open AccessIn this paper we review some methods proposed in the literature for combining a nonprobability and a probability sample with the purpose of obtaining an estimator with a smaller bias and standard error than the estimators ... -
Classification of probability density functions in the framework of Bayes spaces: methods and applications
(Institut d'Estadística de Catalunya, 2023-11-23)
Article
Open AccessThe process of supervised classification when the data set consists of probability density functions is studied. Due to the relative information contained in densities, it is necessary to convert the functional data analysis ... -
Simple enough, but not simpler: reconsidering additive logratio coordinates in compositional analysis
(Institut d'Estadística de Catalunya, 2023-11-23)
Article
Open AccessCompositional data, multivariate observations carrying relative information, are popularly expressed in additive logratio coordinates which are easily interpretable as they use one of the components as ratioing part to ... -
Non-parametric estimation of the covariate-dependent bivariate distribution for censored gap times
(Institut d'Estadística de Catalunya, 2024-09-30)
Article
Open AccessIn many biomedical studies, recurrent or consecutive events may occur during the follow up of the individuals. This situation can be found, for example, in transplant studies, where there are two consecutive events which ... -
Second-order Markov multistate models
(Institut d'Estadística de Catalunya, 2024-09-30)
Article
Open AccessMultistate models are well developed for continuous and discrete times under a first order Markov assumption. Motivated by a cohort of COVID-19 patients, a multistate model was designed based on 14 transitions among 7 ... -
Conditional likelihood based inference on single-index models for motor Insurance claim severity
(Institut d'Estadística de Catalunya, 2024-09-30)
Article
Open AccessPrediction of a traffic accident cost is one of the major problems in motor insurance. To identify the factors that influence costs is one of the main challenges of actuarial modelling. Telematics data about individual ... -
Patient-reported outcomes and survival analysis of chronic obstructive pulmonary disease patients: a two-stage joint modelling approach
(Institut d'Estadística de Catalunya, 2024-09-30)
Article
Open AccessJoint modelling has gained attention in longitudinal studies incorporating biomarkers and survival data. In the context of chronic diseases, patient evolution is often tracked through multiple assessments, with patient-reported ... -
Estimation of logistic regression parameters for complex survey data: simulation study based on real survey data
(Institut d'Estadística de Catalunya, 2024-05-03)
Article
Open AccessIn complex survey data, each sampled observation has assigned a sampling weight, indicating the number of units that it represents in the population. Whether sampling weights should or not be considered in the estimation ... -
Small area estimation of the proportion of single-person households: Application to the Spanish Household Budget Survey
(Institut d'Estadística de Catalunya, 2024-05-06)
Article
Open AccessHousehold composition reveals vital aspects of the socioeconomic situation and major changes in developed countries for decision-making and mapping the distribution of single-person households is highly relevant and useful. ... -
A diffusion-based spatio-temporal extension of Gaussian Matérn fields
(Institut d'Estadística de Catalunya, 2024-05-09)
Article
Open AccessGaussian random fields with Matérn covariance functions are popular models in spatial statistics and machine learning. In this work, we develop a spatio-temporal extension of the Gaussian Matérn fields formulated as solutions ... -
40 years after Aitchison’s article “The statistical analysis of compositional data”. Where we are and where we are heading
(Institut d'Estadística de Catalunya, 2023-11-22)
Article
Open AccessThe year 2022 marked 40 years since Aitchison published the article “The statistical analysis of compositional data”. It is considered to be the foundation of contemporary compositional data analysis. It is time to review ... -
Subcompositional coherence and and a novel proportionality index of parts
(Institut d'Estadística de Catalunya, 2023-11-22)
Article
Open AccessResearch in compositional data analysis was motivated by spurious (Pearson) correlation. Spurious results are due to semantic incoherence, but the question of ways to relate parts in a statistically consistent way remains ...