Associazione ESSPER
periodici italiani di economia, scienze sociali e storia
periodici italiani di economia, scienze sociali e storia
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
Risultato della ricerca: (37 titoli )
| Backtesting VaR and expectiles with realized scores |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Mantel–Haenszel estimators of a common odds ratio for multiple response data |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Modeling right-censored medical cost data in regression and the effects of covariates |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Nonparametric series density estimation and testing |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| On Wald tests for differential item functioning detection |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Random forest-based approach for physiological functional variable selection for driver's stress level classification |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Sample selection models for discrete and other non-Gaussian response variables |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Sample selection when a multivariate set of size measures is available |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| The B-exponential divergence and its generalizations with applications to parametric estimation |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Bayesian variable selection in linear regression models with non-normal errors |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Functional data analysis: local linear estimation of the L1 -conditional quantiles |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| A model-based fuzzy analysis of questionnaires |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Modeling of the ARMA random effects covariance matrix in logistic random effects models |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| A rate of consistency for nonparametric estimators of the distribution function based on censored dependent data |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Reconstructing missing data sequences in multivariate time series: an application to environmental data |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| The class of cub models: statistical foundations, inferential issues and empirical evidence |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Comment on: The class of CUB models: statisticalfoundations, inferential issues and empirical evidence |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Comments on The class of cub models: statistical foundations, inferential issues and empirical evidence by D. Piccolo and R. Simone |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Discussion of The class of CUB models: statistical foundations, inferential issues and empirical evidence |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Discussion of "The class of CUB models: statistical foundations, inferential issues and empirical evidence |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Discussion of "The class of cub models: statistical foundations, inferential issues and empirical evidence" by Domenico Piccolo and Rosaria Simone |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Discussion of 'The class of CUB models: statisticalfoundations, inferential issues and empirical evidence'by Domenico Piccolo and Rosaria Simone |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| The multiple Cantelli inequalities |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Multivariate ordinal regression models: an analysis ofcorporate credit ratings |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Real and financial cycles: estimates using unobserved component models for the Italian economy |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Rejoinder to the discussion of "The class ofCUBmodels:statistical foundations, inferential issues and empiricalevidence |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| A review of: The class of CUB models: statistical foundations, inferential issues and empirical evidence by Domenico Piccolo and Rosaria Simone |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Statistical Methods & Applications (2019) The class of CUB models: statistical foundations, inferentialissues and empirical evidence |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| BINAR(1) negative binomial model for bivariate non-stationary time series with different over-dispersion indices |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Dynamic partially functional linear regression model |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Estimation of the volume under the ROC surface inpresence of nonignorable verification bias |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Modelling of lung cancer survival data for critical illnessinsurances |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Mutual association measures |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Single index quantile regression for censored data |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Testing equality of standardized generalized variances of k multivariate normal populations with arbitrary dimensions |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019
| Zero-one augmented beta and zero-inflated discrete models with heterogeneous dispersion for the analysis of student academic performance |
Statistical methods & applications : Journal of the Italian Statistical Society - 2019