SORT : Statistics and Operations Research Transactions
SORT (ISSN 1696-2281 / ISSN electrònic 2013-8830) és una publicació semestral d'àmbit internacional coeditada per l'Idescat i quatre universitats catalanes (Universitat Politècnica de Catalunya, Universitat de Barcelona, Universitat Autònoma de Barcelona i Universitat de Girona) i amb la col•laboració de la Regió Espanyola de la Societat Internacional de Biometria. Publicada íntegrament en anglès (amb resums en català), 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 es publica des del 2003 i representa la tercera sèrie de Qüestiió (Quaderns d'Estadística i Investigació Operativa), publicada per l'Idescat des del 1992.
Darreres entrades:
2017-06-15
06:36
2 p, 27.4 KB Editor report / Guillén, Montserrat (Universitat de Barcelona. Departament d'Econometria)
2008
SORT : statistics and operations research transactions, Vol. 32, Núm. 1 (January-June 2008) (Articles)  
2017-01-10
08:36
18 p, 986.2 KB Modelling extreme values by the residual coefficient of variation / Castillo, Joan del (Universitat Autònoma de Barcelona. Secció de Matemàtiques) ; Padilla Cozar , Maria
The possibilities of the use of the coefficient of variation over a high threshold in tail modelling are discussed. The paper also considers multiple threshold tests for a generalized Pareto distribution, together with a threshold selection algorithm. [...]
2016
SORT : statistics and operations research transactions, Vol. 40 Núm. 2 (July-December 2016) , p. 303-320 (Articles)  
2017-01-10
08:36
24 p, 409.1 KB Smoothed landmark estimators of the transition probabilities / Meira-Machado, Luís (University of Minho (Guimaraes, Portugal). Centre of Mathematics and Department of Mathematics and Applications)
One important goal in clinical applications of multi-state models is the estimation of transition probabilities. Recently, landmark estimators were proposed to estimate these quantities, and their superiority with respect to the competing estimators has been proved in situations in which the Markov condition is violated. [...]
2016
SORT : statistics and operations research transactions, Vol. 40 Núm. 2 (July-December 2016) , p. 375-398 (Articles)  
2017-01-10
08:36
26 p, 2.4 MB Log-ratio methods in mixture models for compositional data sets / Comas-Cufí, Marc (Universitat de Girona. Departament d’Informàtica, Matemàtica Aplicada i Estadística) ; Martín-Fernández, Josep-Antoni (Universitat de Girona. Departament d’Informàtica, Matemàtica Aplicada i Estadística) ; Mateu-Figueras, Glòria (Universitat de Girona. Departament d’Informàtica, Matemàtica Aplicada i Estadística)
When traditional methods are applied to compositional data misleading and incoherent results could be obtained. Finite mixtures of multivariate distributions are becoming increasingly important nowadays. [...]
2016
SORT : statistics and operations research transactions, Vol. 40 Núm. 2 (July-December 2016) , p. 349-374 (Articles)  
2017-01-10
08:36
28 p, 700.0 KB Using robust FPCA to identify outliers in functional time series, with applications to the electricity market / Vilar, Juan M. (Universidade da Coruña. Departamento de Matemáticas) ; Raña, Paula (Universidade da Coruña. Departamento de Matemáticas) ; Aneiros, Germán (Universidade da Coruña. Departamento de Matemáticas)
This study proposes two methods for detecting outliers in functional time series. Both methods take dependence in the data into account and are based on robust functional principal component analysis. [...]
2016
SORT : statistics and operations research transactions, Vol. 40 Núm. 2 (July-December 2016) , p. 321-348 (Articles)  
2017-01-10
08:36
36 p, 1.9 MB A construction of continuous-time ARMA models by iterations of Ornstein-Uhlenbeck processes / Arratia, Argimiro (Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics) ; Cabaña, Alejandra (Universitat Autònoma de Barcelona. Departament de Matemàtiques) ; Cabaña, Enrique M. (Universidad de la República (Montevideo, Uruguai))
We present a construction of a family of continuous-time ARMA processes based on p iterations of the linear operator that maps a Lévy process onto an Ornstein-Uhlenbeck process. The construction resembles the procedure to build an AR(p) from an AR(1). [...]
2016
SORT : statistics and operations research transactions, Vol. 40 Núm. 2 (July-December 2016) , p. 267-302 (Articles)  
2017-01-10
08:36
24 p, 168.7 KB Kernel-based estimation of P(X >Y) in ranked set sampling / Mahdizadeh, Mahdi (Hakim Sabzevari University (Sabzevar, Iran). Department of Statistics) ; Zamanzade, Ehsan (University of Isfahan (Iran). Department of Statistics)
This article is directed at the problem of reliability estimation using ranked set sampling. A nonparametric estimator based on kernel density estimation is developed. The estimator is shown to be superior to its analog in simple random sampling. [...]
2016
SORT : statistics and operations research transactions, Vol. 40 Núm. 2 (July-December 2016) , p. 243-266 (Articles)
2 documents
2017-01-10
08:36
16 p, 140.8 KB Improving the resolution of the simple assembly line balancing problem type E / Corominas, Albert (Institute of Industrial and Control Engineering (Barcelona, Catalunya)) ; García-Villoria, Alberto (Institute of Industrial and Control Engineering (Barcelona, Catalunya)) ; Rafael Pastor, Rafael (Institute of Industrial and Control Engineering (Barcelona, Catalunya))
The simple assembly line balancing problem type E (abbreviated as SALBP-E) occurs when the number of workstations and the cycle time are variables and the objective is to maximise the line efficiency. [...]
2016
SORT : statistics and operations research transactions, Vol. 40 Núm. 2 (July-December 2016) , p. 227-242 (Articles)  
2016-06-21
08:15
24 p, 294.5 KB A statistical learning based approach for parameter fine-tuning of metaheuristics / Calvet, Laura (Universitat Oberta de Catalunya) ; Juan, Angel A. (Universitat Oberta de Catalunya) ; Serrat, Carles (Universitat Politècnica de Catalunya. Departament de Matemàtica Aplicada I) ; Ries, Jana (University of Portsmouth. Portsmouth Business School)
Metaheuristics are approximation methods used to solve combinatorial optimization problems. Their performance usually depends on a set of parameters that need to be adjusted. The selectionof appropriate parameter values causes a loss of efficiency, as it requires time, and advanced analytical and problem-specific skills. [...]
2016
SORT : statistics and operations research transactions, Vol. 40 Núm. 1 (January-June 2016) , p. 201-224 (Articles)  
2016-06-21
08:15
24 p, 260.6 KB Compound distributions motivated by linear failure rate / Gitifar, Narjes (Amirkabir University of Technology (Teheran, Iran)) ; Rezaei, Sadegh (Amirkabir University of Technology (Teheran, Iran)) ; Nadarajah, Saralees (University of Manchester)
Motivated by three failure data sets (lifetime of patients, failure time of hard drives and failure timeof a product), we introduce three different three-parameter distributions, study basic mathematical properties, address estimation by the method of maximum likelihood and investigate finite sample performance of the estimators. [...]
2016
SORT : statistics and operations research transactions, Vol. 40 Núm. 1 (January-June 2016) , p. 177-200 (Articles)