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 de Barcelona

Universitat Autonòma de Barcelona

Universitat de Girona

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.

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:

e-ISSN: 2013-8830


(versió electrònica)

Recent Submissions

  • The unilateral spatial autogressive process for the regular lattice two-dimensional spatial discrete data 

    Chutoo, Azmi; Karlis, Dimitris; Khan, Naushad Mamode; Jowaheer, Vandna (Institut d'Estadística de Catalunya, 2021-06-15)
    Open Access
    This paper proposes a generalized framework to analyze spatial count data under a unilateral regular lattice structure based on thinning type models. We start from the simple spatial integer-valued auto-regressive model ...
  • Joint outlier detection and variable selection using discrete optimization 

    Jammal, Mahdi; Canu, Stephane; Abdallah, Maher (Institut d'Estadística de Catalunya, 2021-06-15)
    Open Access
    In regression, the quality of estimators is known to be very sensitive to the presence of spurious variables and outliers. Unfortunately, this is a frequent situation when dealing with real data. To handle outlier proneness ...
  • Bayesian classification for dating archaeological sites via projectile points 

    Armero, Carmen; García-Donato, Gonzalo; Jimenez-Puerto, Joaquín; Pardo-Gordó, Salvador; Bernabeu, Joan (Institut d'Estadística de Catalunya, 2021-06-15)
    Open Access
    Dating is a key element for archaeologists. We propose a Bayesian approach to provide chronology to sites that have neither radiocarbon dating nor clear stratigraphy and whose only information comes from lithic arrowheads. ...
  • Verifying compliance with ballast water standards: a decision-theoretic approach 

    Costa, Eliardo G.; Paulino, Carlos Daniel; Singer, Julio M (Institut d'Estadística de Catalunya, 2021-06-15)
    Open Access
    We construct credible intervals to estimate the mean organism (zooplankton and phytoplankton) concentration in ballast water via a decision-theoretic approach. To obtain the required optimal sample size, we use a total ...
  • The radiant diagrams of Florence Nightingale 

    Friendly, Michael; Andrews, Raymond (Institut d'Estadística de Catalunya, 2021-06-15)
    Open Access
    This article is a tribute to the contributions of Florence Nightingale to statistics and statistical graphics on her bicentennial. We start with her most famous “rose” diagram and describe how she came to this graphic, ...
  • Modelling multivariate, overdispersed count data with correlated and non-normal heterogeneity effects 

    Kazemi, Iraj; Hassanzadeh, Fatemeh (Institut d'Estadística de Catalunya, 2020-12-17)
    Open Access
    Mixed Poisson models are most relevant to the analysis of longitudinal count data in various disciplines. A conventional specification of such models relies on the normality of unobserved heterogeneity effects. In practice, ...
  • On interpretations of tests and effect sizes in regression models with a compositional predictor 

    Coenders, Germà; Pawlowsky-Glahn, Vera (Institut d'Estadística de Catalunya, 2020-06-26)
    Open Access
    Compositional data analysis is concerned with the relative importance of positive variables, expressed through their log-ratios. The literature has proposed a range of manners to compute log-ratios, some of whose ...
  • Bayesian structured antedependence model proposals for longitudinal data 

    Castillo-Carreno, Edwin; Cepeda-Cuervo, Edilberto; Núñez-Antón, Vicente (Institut d'Estadística de Catalunya, 2020-06-26)
    Open Access
    An important problem in Statistics is the study of longitudinal data taking into account the effect of other explanatory variables, such as treatments and time and, simultaneously, the incorporation into the model of the ...
  • Green hybrid fleets using electric vehicles: solving the heterogeneous vehicle routing problem with multiple driving ranges and loading capacities 

    Hatami, Sara; Eskandarpour, Majid; Chica, Manuel; Juan, Angel A.; Ouelhadj, Djamila (Institut d'Estadística de Catalunya, 2020-06-26)
    Open Access
    The introduction of Electric Vehicles (EVs) in modern fleets facilitates green road transportation. However, the driving ranges of EVs are limited by the duration of their batteries, which arise new operational challenges. ...
  • Bartlett and Bartlett-type corrections for censored data from a Weibull distribution 

    Magalhães, Tiago M.; Gallardo, Diego I. (Institut d'Estadística de Catalunya, 2020-06-26)
    Open Access
    In this paper, we obtain the Bartlett factor for the likelihood ratio statistic and the Bartlett-type correction factor for the score and gradient test in censored data from a Weibull distribution. The expressions derived ...
  • Modelling count data using the logratio-normal-multinomial distribution 

    Comas Cufí, Marc; Martín-Fernández, Josep Antoni; Mateu-Figueras, Glòria; Palarea-Albaladejo, Javier (Institut d'Estadística de Catalunya, 2020-06-26)
    Open Access
    The logratio-normal-multinomial distribution is a count data model resulting from compounding a multinomial distribution for the counts with a multivariate logratio-normal distribution for the multinomial event probabilities. ...
  • Integer constraints for enhancing interpretability in linear regression 

    Carrizosa, Emilio; Olivares-Nadal, Alba V.; Ramírez-Cobo, Pepa (Institut d'Estadística de Catalunya, 2020-06-26)
    Open Access
    One of the main challenges researchers face is to identify the most relevant features in a prediction model. As a consequence, many regularized methods seeking sparsity have flourished. Although sparse, their solutions may ...

View more