Bayesian semiparametric inference for multivariate doubly-interval-censored data [PDF]
, 2010 Based on a data set obtained in a dental longitudinal study, conducted in Flanders (Belgium), the joint time to caries distribution of permanent first molars was modeled as a function of covariates.
De Iorio, Maria +3 more
core +4 more sources
Cooperative interval games: Mountain situations with interval data
Journal of Computational and Applied Mathematics, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
GOK, S. Z. Alparslan +2 more
openaire +2 more sources
Trisectional fuzzy trapezoidal approach to optimize interval data based transportation problem
, 2020 This research article puts forward a combination of two new thoughts to solve interval data based transportation problems (IBTPs). Firstly IBTP is converted to fuzzy transportation problem using trisectional approach and secondly a newly proposed ranking
D. Bisht, P. Srivastava
semanticscholar +1 more source
Revisiting interval protection, a.k.a. partial cell suppression, for tabular data [PDF]
, 2016 The final publication is available at link.springer.comInterval protection or partial cell suppression was introduced in “M. Fischetti, J.-J. Salazar, Partial cell suppression: A new methodology for statistical disclosure control, Statistics and ...
Castro Pérez, Jordi +1 more
core +1 more source
On Sharp Identification Regions for Regression Under Interval Data [PDF]
, 2013 The reliable analysis of interval data (coarsened data) is one of the most promising applications of imprecise probabilities in statistics. If one refrains from making untestable, and often materially unjustified, strong assumptions on the coarsening ...
Augustin, Thomas, Schollmeyer, Georg
core +1 more source
On the Influence of the Data Sampling Interval on Computer-Derived K-Indices [PDF]
, 2011 The K index was devised by Bartels et al. (1939) to provide an objective monitoring of irregular geomagnetic activity. The K index was then routinely used to monitor the magnetic activity at permanent magnetic observatories as well as at temporary ...
Bernard, Armelle +2 more
core +5 more sources
EFFICIENCY MEASUREMENT OF NDEA WITH INTERVAL DATA [PDF]
International Journal of Mathematical Modelling & Computations, 2016 Data envelopment analysis (DEA) is a non-parametric technique for evaluation of relative efficiency of decision making units described by multiple inputs and outputs. It is based on solving linear programming problems. Since 1978 when basic DEA model was
S. Keikha- Javan, M. Rostamy-Malkhalifeh
doaj
Interstatis: el método statis para datos de tipo intervalo
Revista de Matemática: Teoría y Aplicaciones, 2014 El método STATIS, propuesto por L’Hermier des Plantes y Escoufier, se utiliza para analizar múltiples tablas de datos en las cuales es muy fre- cuente que cada una de la tablas tenga información referente al mismo conjunto de individuos.
David Corrales, Oldemar Rodríguez
doaj +1 more source
The Interval Efficiency Evaluation Model Based on Incentive Compatibility
IEEE Access, 2020 Data envelopment analysis (DEA) is a method of measuring the efficiency of peer decision-making units (DMUs). Conventional DEA evaluates the performance of each DMU only from the optimistic point of view.
Wu Pengfei, Huang Yan
doaj +1 more source
INVESTMENT PROJECT SELECTION BY APPLYING COPRAS METHOD AND IMPRECISE DATA [PDF]
Serbian Journal of Management, 2012 Investment projects can have a significant impact on the functioning and development of acompany. Therefore, the selection of one or more investment projects from the set of possible is animportant and difficult task for decision makers.
Gabrijela Popović +2 more
doaj