Statistical Methods and Applications (SMA), the official Journal of the Italian Statistical Society, is an international journal aiming at promoting the development of statistical methodology and its applications in the biological, demographic, economic, health, physical, social and other scientific domains. SMA includes two sections: The first is devoted to statistical methodology and publishes original contributions in all fields of Statistics and, occasionally, critical reviews and discussions on recent developments in statistical theory and methods. The second section of the journal publishes papers devoted to original and/or innovative applications of recent statistical methodology and complex approaches of statistical data analysis. The journal is published four times a year. SMA provides a forum for the presentation of Italian and international research on methods that are of central interest to modern statistics. Discussions on methodological foundations and methods that have broad applications will be welcome and preferred.
《统计方法与应用》（SMA）是意大利统计学会的官方期刊，是一份国际期刊，旨在促进统计方法的发展及其在生物、人口、经济、卫生、物理、社会和其他科学领域的应用。SMA包括两个部分：第一个专门讨论统计方法学，发表统计学所有领域的原创文章，偶尔发表对统计理论和方法最新发展的评论和讨论。该杂志的第二部分发表论文，专门讨论最新统计方法和统计数据分析复杂方法的原创和/或创新应用。该杂志每年出版四期。SMA提供了一个论坛，用于介绍意大利和国际上对现代统计学具有核心意义的方法的研究。欢迎并优先讨论具有广泛适用性的方法论基础和方法。
Random forest-based approach for physiological functional variable selection for driver’s stress level classification
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/s10260-018-0423-5
The class of cub models: statistical foundations, inferential issues and empirical evidence
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-019-00461-1
Multivariate ordinal regression models: an analysis of corporate credit ratings
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-018-00437-7
Backtesting VaR and expectiles with realized scores
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/s10260-018-00434-w
Functional data analysis: local linear estimation of the $$L_1$$L1-conditional quantiles
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-018-00447-5
Mantel–Haenszel estimators of a common odds ratio for multiple response data
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/s10260-018-0429-z
On Wald tests for differential item functioning detection
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/s10260-018-00442-w
A model-based fuzzy analysis of questionnaires
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/s10260-018-00443-9
Sample selection models for discrete and other non-Gaussian response variables
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/s10260-018-0427-1
Zero-one augmented beta and zero-inflated discrete models with heterogeneous dispersion for the analysis of student academic performance
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-019-00455-Z
Modeling of the ARMA random effects covariance matrix in logistic random effects models
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-018-00440-Y
BINAR(1) negative binomial model for bivariate non-stationary time series with different over-dispersion indices
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-019-00454-0
Single index quantile regression for censored data
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-019-00450-4
Real and financial cycles: estimates using unobserved component models for the Italian economy
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-019-00453-1
The sufficiency of the evidence, the relevancy of the evidence, and quantifying both with a single number
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/s10260-020-00553-3
Estimating drift parameters in a non-ergodic Gaussian Vasicek-type model
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/s10260-020-00528-4
Decomposition by subpopulations of the Zenga-84 inequality curve and the related index $$\\zeta $$ζ: an application to 2014 Bank of Italy survey
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-019-00459-9
Modeling right-censored medical cost data in regression and the effects of covariates
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/s10260-018-0428-0
The mathematics of Benford’s law: a primer
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/s10260-020-00532-8
The multiple Cantelli inequalities
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-019-00452-2
Discussion of The class of CUB models: statistical foundations, inferential issues and empirical evidence
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-019-00469-7
Sample selection when a multivariate set of size measures is available
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/s10260-018-00433-x
Discussion of ‘The class of CUB models: statistical foundations, inferential issues and empirical evidence’ by Domenico Piccolo and Rosaria Simone
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-019-00466-W
Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/s10260-020-00535-5
Discussion of “The class of CUB models: statistical foundations, inferential issues and empirical evidence”
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-019-00463-Z
Testing equality of standardized generalized variances of k multivariate normal populations with arbitrary dimensions
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-019-00456-Y
Nonparametric series density estimation and testing
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/s10260-018-00432-y
Dynamic partially functional linear regression model
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-019-00457-X
A review of: The class of CUB models: statistical foundations, inferential issues and empirical evidence by Domenico Piccolo and Rosaria Simone
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/s10260-019-00475-9
Discussion of “The class of cub models: statistical foundations, inferential issues and empirical evidence” by Domenico Piccolo and Rosaria Simone
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-019-00465-X
A rate of consistency for nonparametric estimators of the distribution function based on censored dependent data
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-018-00445-7
Mutual association measures
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/S10260-018-00448-4
Correction to: Nonparametric series density estimation and testing
来源期刊：Statistical Methods & ApplicationsDOI：10.1007/s10260-018-00439-5
