Search results for "Finite mixture"

showing 1 items of 11 documents

Ranking Scientific Journals Via Latent Class Models for Polytomous Item Response Data

2015

Summary We propose a model-based strategy for ranking scientific journals starting from a set of observed bibliometric indicators that represent imperfect measures of the unobserved ‘value’ of a journal. After discretizing the available indicators, we estimate an extended latent class model for polytomous item response data and use the estimated model to cluster journals. We illustrate our approach by using the data from the Italian research evaluation exercise that was carried out for the period 2004–2010, focusing on the set of journals that are considered relevant for the subarea statistics and financial mathematics. Using four bibliometric indicators (IF, IF5, AIS and the h-index), some…

Statistics and ProbabilityEconomics and EconometricEconomics and EconometricsClass (set theory)Research evaluationClusteringSet (abstract data type)Valutazione della Qualità delle RicercaCovariateStatisticsEconometricsFinite mixture modelsCluster analysisFinite mixture modelMathematicsGraded response modelMathematical financeItem response theory modelsItem response theory modelProbability and statisticsLatent class modelRankingStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaValutazione della Qualità delle Ricerca; Clustering; Finite mixture models; Graded response model; Item response theory models; Research evaluation;Social Sciences (miscellaneous)Journal of the Royal Statistical Society Series A: Statistics in Society
researchProduct