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Quaderni di Statistica

di

Domenico Piccolo , Marcella Corduas

Liguori Editore

Quaderni di Statistica - Bookrepublic

Quaderni di Statistica

di

Domenico Piccolo , Marcella Corduas

Liguori Editore

FORMATO

DISPONIBILE ANCHE IN

Adobe DRM

DISPOSITIVI SUPPORTATI

computer

e-reader/kobo

ios

android

kindle

€ 22,99

Descrizione

Established in 1978 and published twice a year, QdS - Journal of Methodological and Applied Statistics is a peer-reviewed journal which focuses on statistical theory and applications. Original articles on statistical methodology and models, and innovative applications of known statistical methods in different branches of science are welcome. Moreover, contributions which illustrate the state of art of statistical methods and models are favourably considered. Index: FOREWORD M.R. D’ESPOSITO, G. RAGOZINI, A new R-ordering procedure to rank multivariate performances R. ARBORETTI GIANCRISTOFARO, L. CORAIN, A permutation solution for two-sample location-scale test A. PISCITELLI, A double imputation method for Data Fusion M. IANNARIO, A class of models for ordinal variables with covariates M. IANNARIO, A class of models for ordinal variables with covariates effects R. ARBORETTI GIANCRISTOFARO, S. BONNINI, F. SOLMI, Non-parametric two-stage active control testing method for non-inferiority tests L. LI, Analysis of early life influences on cognitive development in childhood using multilevel ordinal models A. NACCARATO, D. ZURLO, A Monte Carlo study on Full Information methods in simultaneous equation models FORUM C. BACCARANI, Teaching assessment: a subject worthy of reconsideration B. CHIANDOTTO, B. BERTACCINI, SIS-ValDidat: a Statistical Information System for evaluating university teaching M. CORDUAS, A statistical procedure for clustering ordinal data S. MIGNANI, S. CAGNONE, University formative process: quality of teaching versus performance indicators D. PICCOLO, Modelling university students’ final grades by ordinal variables

Dettagli

Dimensioni del file

9,5 MB

Lingua

ita

Anno

2016

Isbn

9788820747213