Statistical Methods & Applications
1994 - 2025
Current editor(s): Tommaso Proietti From: Springer Società Italiana di Statistica Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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Volume 29, issue 4, 2020
- An alternative semiparametric model for spatial panel data pp. 669-708

- Román Mínguez, Roberto Basile and María Durbán
- Nearest neighbors estimation for long memory functional data pp. 709-725

- Lihong Wang
- Statistical and probabilistic analysis of interarrival and waiting times of Internet2 anomalies pp. 727-744

- Piotr Kokoszka, Hieu Nguyen, Haonan Wang and Liuqing Yang
- PC priors for residual correlation parameters in one-factor mixed models pp. 745-765

- Massimo Ventrucci, Daniela Cocchi, Gemma Burgazzi and Alex Laini
- Context-specific independencies in hierarchical multinomial marginal models pp. 767-786

- Federica Nicolussi and Manuela Cazzaro
- Monitoring rare categories in sentiment and opinion analysis: a Milan mega event on Twitter platform pp. 787-812

- Anna Calissano, Simone Vantini and Marika Arena
- A general piecewise multi-state survival model: application to breast cancer pp. 813-843

- Juan Eloy Ruiz-Castro and Mariangela Zenga
- Modified LASSO estimators for time series regression models with dependent disturbances pp. 845-869

- Yujie Xue and Masanobu Taniguchi
- A copula-based method of classifying individuals into binary disease categories using dependent biomarkers pp. 871-897

- Shofiqul Islam, Sonia Anand, Jemila Hamid, Lehana Thabane and Joseph Beyene
- A weighted $$\chi ^2$$ χ 2 test to detect the presence of a major change point in non-stationary Markov chains pp. 899-912

- Alessandra Micheletti, Giacomo Aletti, Giulia Ferrandi, Danilo Bertoni, Daniele Cavicchioli and Roberto Pretolani
- Regression for compositions based on a generalization of the Dirichlet distribution pp. 913-936

- Monique Graf
- Sliced inverse median difference regression pp. 937-954

- Stephen Babos and Andreas Artemiou
- Multivariate power series interpoint distances pp. 955-982

- Reza Modarres and Yu Song
Volume 29, issue 3, 2020
- Influence function-based empirical likelihood and generalized confidence intervals for the Lorenz curve pp. 427-446

- Yuyin Shi, Bing Liu and Gengsheng Qin
- On firm size distribution: statistical models, mechanisms, and empirical evidence pp. 447-482

- Anna Maria Fiori
- A Monte Carlo subsampling method for estimating the distribution of signal-to-noise ratio statistics in nonparametric time series regression models pp. 483-514

- Francesco Giordano and Pietro Coretto
- Exact confidence limits for proportion difference in clinical trials with bilateral outcome pp. 515-525

- Guogen Shan
- A generalized mixture integer-valued GARCH model pp. 527-552

- Huiyu Mao, Fukang Zhu and Yan Cui
- Variable selection techniques after multiple imputation in high-dimensional data pp. 553-580

- Faisal Maqbool Zahid, Shahla Faisal and Christian Heumann
- Combining permutation tests to rank systemically important banks pp. 581-596

- Lorenzo Frattarolo, Francesca Parpinel and Claudio Pizzi
- Beliefs and needs of academic teachers: a latent class analysis pp. 597-617

- Silvia Bacci, Bruno Bertaccini and Alessandra Petrucci
- Identifying atypically expressed chromosome regions using RNA-Seq data pp. 619-649

- Vinícius Diniz Mayrink and Flávio B. Gonçalves
- Distributions of powers of the central beta matrix variates and applications pp. 651-668

- Thu Pham-Gia, Duong Thanh Phong and Dinh Ngoc Thanh
Volume 29, issue 2, 2020
- One or more rates of ageing? The extended gamma-Gompertz model (EGG) pp. 211-236

- Giambattista Salinari and Gustavo De Santis
- What finite-additivity can add to decision theory pp. 237-263

- Mark J. Schervish, Teddy Seidenfeld, Rafael B. Stern and Joseph B. Kadane
- Planning step-stress test plans under Type-I hybrid censoring for the log-location-scale distribution pp. 265-288

- Chien-Tai Lin, Cheng-Chieh Chou and N. Balakrishnan
- Testing the equality of matrix distributions pp. 289-307

- Lingzhe Guo and Reza Modarres
- Loss-based approach to two-piece location-scale distributions with applications to dependent data pp. 309-333

- Fabrizio Leisen, Luca Rossini and Cristiano Villa
- Bayesian propensity score analysis for clustered observational data pp. 335-355

- Qi Zhou, Catherine McNeal, Laurel A. Copeland, Justin P. Zachariah and Joon Jin Song
- Testing for boundary conditions in case of fractionally integrated processes pp. 357-371

- Margherita Gerolimetto and Stefano Magrini
- Joint and conditional dependence modelling of peak district heating demand and outdoor temperature: a copula-based approach pp. 373-395

- F. Marta L. Di Lascio, Andrea Menapace and Maurizio Righetti
- Correction to: Joint and conditional dependence modelling of peak district heating demand and outdoor temperature: a copula-based approach pp. 397-397

- F. Marta L. Di Lascio, Andrea Menapace and Maurizio Righetti
- Analysing the course of public trust via hidden Markov models: a focus on the Polish society pp. 399-425

- Fulvia Pennoni and Ewa Genge
Volume 29, issue 1, 2020
- On the estimation of the Lorenz curve under complex sampling designs pp. 1-24

- Pier Luigi Conti, Alberto Iorio, Alessio Guandalini, Daniela Marella, Paola Vicard and Vincenzina Vitale
- Nonparametric imputation method for nonresponse in surveys pp. 25-48

- Caren Hasler and Radu V. Craiu
- Scale-constrained approaches for maximum likelihood estimation and model selection of clusterwise linear regression models pp. 49-78

- Roberto Mari, Roberto Rocci and Stefano Antonio Gattone
- Covariance matrix estimation in a seemingly unrelated regression model under Stein’s loss pp. 79-99

- Shun Matsuura and Hiroshi Kurata
- Spatial prediction and spatial dependence monitoring on georeferenced data streams pp. 101-128

- Antonio Balzanella and Antonio Irpino
- A note on the asymptotic and exact Fisher information matrices of a Markov switching VARMA process pp. 129-139

- Maddalena Cavicchioli
- Prediction of risks of sequence of events using multistage proportional hazards model: a marginal-conditional modelling approach pp. 141-171

- Rafiqul I. Chowdhury and M. Ataharul Islam
- Cyber risk measurement with ordinal data pp. 173-185

- Silvia Facchinetti, Paolo Giudici and Silvia Angela Osmetti
- Decomposition by subpopulations of the Zenga-84 inequality curve and the related index $$\zeta $$ζ: an application to 2014 Bank of Italy survey pp. 187-207

- Francesco Porro and Michele Zenga
Volume 28, issue 4, 2019
- Mutual association measures pp. 571-591

- Claudio G. Borroni
- Testing equality of standardized generalized variances of k multivariate normal populations with arbitrary dimensions pp. 593-623

- Dariush Najarzadeh
- BINAR(1) negative binomial model for bivariate non-stationary time series with different over-dispersion indices pp. 625-653

- Yuvraj Sunecher, Naushad Mamode Khan, Miroslav M. Ristić and Vandna Jowaheer
- Single index quantile regression for censored data pp. 655-678

- Eliana Christou and Michael G. Akritas
- Dynamic partially functional linear regression model pp. 679-693

- Jiang Du, Hui Zhao and Zhongzhan Zhang
- Estimation of the volume under the ROC surface in presence of nonignorable verification bias pp. 695-722

- Khanh To Duc, Monica Chiogna and Gianfranco Adimari
- Modelling of lung cancer survival data for critical illness insurances pp. 723-747

- Joanna Dȩbicka and Beata Zmyślona
- Zero-one augmented beta and zero-inflated discrete models with heterogeneous dispersion for the analysis of student academic performance pp. 749-767

- Hildete P. Pinheiro, Rafael P. Maia, Eufrásio A. Lima Neto and Mariana Rodrigues-Motta
Volume 28, issue 3, 2019
- Editorial pp. 385-387

- Tommaso Proietti
- The class of cub models: statistical foundations, inferential issues and empirical evidence pp. 389-435

- Domenico Piccolo and Rosaria Simone
- Comment on: The class of CUB models: statistical foundations, inferential issues and empirical evidence pp. 437-439

- Francesco Bartolucci and Fulvia Pennoni
- Discussion of “The class of CUB models: statistical foundations, inferential issues and empirical evidence” pp. 441-444

- Roberto Colombi, Sabrina Giordano and Anna Gottard
- The class of CUB models: statistical foundations, inferential issues and empirical evidence pp. 445-449

- Alan Agresti and Maria Kateri
- Discussion of The class of CUB models: statistical foundations, inferential issues and empirical evidence pp. 451-456

- Tommaso Proietti
- A review of: The class of CUB models: statistical foundations, inferential issues and empirical evidence by Domenico Piccolo and Rosaria Simone pp. 457-458

- Ron Kenett
- Discussion of ‘The class of CUB models: statistical foundations, inferential issues and empirical evidence’ by Domenico Piccolo and Rosaria Simone pp. 459-463

- Leonardo Grilli and Carla Rampichini
- Discussion of “The class of cub models: statistical foundations, inferential issues and empirical evidence” by Domenico Piccolo and Rosaria Simone pp. 465-470

- Marica Manisera and Paola Zuccolotto
- Comments on The class of cub models: statistical foundations, inferential issues and empirical evidence by D. Piccolo and R. Simone pp. 471-475

- Gerhard Tutz
- Rejoinder to the discussion of “The class of cub models: statistical foundations, inferential issues and empirical evidence” pp. 477-493

- Domenico Piccolo and Rosaria Simone
- The multiple Cantelli inequalities pp. 495-506

- Haruhiko Ogasawara
- Multivariate ordinal regression models: an analysis of corporate credit ratings pp. 507-539

- Rainer Hirk, Kurt Hornik and Laura Vana
- Real and financial cycles: estimates using unobserved component models for the Italian economy pp. 541-569

- Guido Bulligan, Lorenzo Burlon, Davide Delle Monache and Andrea Silvestrini
Volume 28, issue 2, 2019
- A model-based fuzzy analysis of questionnaires pp. 187-215

- E. Nardo and R. Simone
- Functional data analysis: local linear estimation of the $$L_1$$ L 1 -conditional quantiles pp. 217-240

- Fahimah A. Al-Awadhi, Zoulikha Kaid, Ali Laksaci, Idir Ouassou and Mustapha Rachdi
- The B-exponential divergence and its generalizations with applications to parametric estimation pp. 241-257

- Taranga Mukherjee, Abhijit Mandal and Ayanendranath Basu
- A rate of consistency for nonparametric estimators of the distribution function based on censored dependent data pp. 259-280

- Nour El Houda Rouabah, Nahima Nemouchi and Fatiha Messaci
- Modeling of the ARMA random effects covariance matrix in logistic random effects models pp. 281-299

- Keunbaik Lee, Hoimin Jung and Jae Keun Yoo
- A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data pp. 301-322

- Andrea Martino, Andrea Ghiglietti, Francesca Ieva and Anna Maria Paganoni
- Bayesian variable selection in linear regression models with non-normal errors pp. 323-358

- Saverio Ranciati, Giuliano Galimberti and Gabriele Soffritti
- Reconstructing missing data sequences in multivariate time series: an application to environmental data pp. 359-383

- Maria Lucia Parrella, Giuseppina Albano, Michele La Rocca and Cira Perna
Volume 28, issue 1, 2019
- Sample selection when a multivariate set of size measures is available pp. 1-25

- R. Benedetti, M. S. Andreano and F. Piersimoni
- Sample selection models for discrete and other non-Gaussian response variables pp. 27-56

- Adelchi Azzalini, Hyoung-Moon Kim and Hea-Jung Kim
- Mantel–Haenszel estimators of a common odds ratio for multiple response data pp. 57-76

- Thomas Suesse and Ivy Liu
- Nonparametric series density estimation and testing pp. 77-99

- Patrick Marsh
- Correction to: Nonparametric series density estimation and testing pp. 101-101

- Patrick Marsh
- On Wald tests for differential item functioning detection pp. 103-118

- Michela Battauz
- Backtesting VaR and expectiles with realized scores pp. 119-142

- Fabio Bellini, Ilia Negri and Mariya Pyatkova
- Modeling right-censored medical cost data in regression and the effects of covariates pp. 143-155

- Lu Deng, Wendy Lou and Nicholas Mitsakakis
- Random forest-based approach for physiological functional variable selection for driver’s stress level classification pp. 157-185

- Neska Haouij, Jean-Michel Poggi, Raja Ghozi, Sylvie Sevestre-Ghalila and Mériem Jaïdane
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