Statistical Methods & Applications
1994 - 2024
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 27, issue 4, 2018
- The power of monitoring: how to make the most of a contaminated multivariate sample pp. 559-587

- Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini
- Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” pp. 589-594

- Jakob Raymaekers, Peter Rousseeuw and Iwein Vranckx
- Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini pp. 595-602

- Stephane Heritier and Maria-Pia Victoria-Feser
- Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini pp. 603-604

- Ricardo A. Maronna and Víctor J. Yohai
- Comments on “The power of monitoring: how to make the most of a contaminated multivariate sample” pp. 605-608

- L. A. García-Escudero, A. Gordaliza, C. Matrán and A. Mayo-Iscar
- Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini pp. 609-619

- Claudio Agostinelli and Luca Greco
- Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini pp. 621-623

- Christophe Croux
- Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” pp. 625-629

- Simon J. Sheather and Joseph W. McKean
- Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini pp. 631-639

- Valentin Todorov
- Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” pp. 641-649

- Domenico Perrotta and Francesca Torti
- The power of (extended) monitoring in robust clustering pp. 651-660

- Alessio Farcomeni and Francesco Dotto
- Rejoinder to the discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” pp. 661-666

- Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini
- Wavelet regression estimations with strong mixing data pp. 667-688

- Junke Kou and Youming Liu
- Testing for an excessive number of zeros in time series of bounded counts pp. 689-714

- Hee-Young Kim, Christian H. Weiß and Tobias A. Möller
- Box–Cox t random intercept model for estimating usual nutrient intake distributions pp. 715-734

- Giovana Fumes-Ghantous, Silvia L. P. Ferrari and José Eduardo Corrente
Volume 27, issue 3, 2018
- On multivariate quantile regression analysis pp. 365-384

- Jean-Paul Chavas
- On score vector- and residual-based CUSUM tests in ARMA–GARCH models pp. 385-406

- Haejune Oh and Sangyeol Lee
- Modelling of low count heavy tailed time series data consisting large number of zeros and ones pp. 407-435

- Raju Maiti, Atanu Biswas and Bibhas Chakraborty
- Most stable sample size determination in clinical trials pp. 437-454

- Ali Karimnezhad and Ahmad Parsian
- A note on variable selection in functional regression via random subspace method pp. 455-477

- Łukasz Smaga and Hidetoshi Matsui
- Asymptotics of the weighted least squares estimation for AR(1) processes with applications to confidence intervals pp. 479-490

- Ruidong Han, Xinghui Wang and Shuhe Hu
- Clustering of financial instruments using jump tail dependence coefficient pp. 491-513

- Chen Yang, Wenjun Jiang, Jiang Wu, Xin Liu and Zhichuan Li
- Quis custiodet ipsos custodes? How to detect and correct teacher cheating in Italian student data pp. 515-543

- Sergio Longobardi, Patrizia Falzetti and Margherita Maria Pagliuca
- Prognostic assessment of repeatedly measured time-dependent biomarkers, with application to dilated cardiomyopathy pp. 545-557

- Giulia Barbati and Alessio Farcomeni
Volume 27, issue 2, 2018
- Nonparametric Bayesian inference in applications pp. 175-206

- Peter Müeller, Fernando A. Quintana and Garritt Page
- Discussion of “Nonparametric Bayesian Inference in Applications”: Bayesian nonparametric methods in econometrics pp. 207-218

- Jim Griffin, Maria Kalli and Mark Steel
- Discussion of paper “nonparametric Bayesian inference in applications” by Peter Müller, Fernando A. Quintana and Garritt L. Page pp. 219-225

- Athanasios Kottas
- Discussion on the paper by Peter Müller, Fernando A. Quintana, and Garritt L. Page pp. 227-230

- Seongil Jo and Jaeyong Lee
- Computational challenges and temporal dependence in Bayesian nonparametric models pp. 231-238

- Raffaele Argiento and Matteo Ruggiero
- More nonparametric Bayesian inference in applications pp. 239-251

- Michele Guindani and Wesley O. Johnson
- Multiplicative bias correction for discrete kernels pp. 253-276

- Lynda Harfouche, Smail Adjabi, Nabil Zougab and Benedikt Funke
- Objective Bayesian analysis for the multivariate skew-t model pp. 277-295

- Antonio Parisi and B. Liseo
- Decomposition of cumulative chi-squared statistics, with some new tools for their interpretation pp. 297-318

- Luigi D’Ambra, Pietro Amenta and Antonello D’Ambra
- Adjusted blockwise empirical likelihood for long memory time series models pp. 319-332

- Feifan Jiang and Lihong Wang
- Bayes and maximum likelihood for $$L^1$$ L 1 -Wasserstein deconvolution of Laplace mixtures pp. 333-362

- Catia Scricciolo
- Correction to: A genealogy of Florence Nightingale, Charles Darwin, Francis Galton and Francis Ysidro Edgeworth with special reference to their Italian connections and an annexe on Beatrice Webb and Charles Booth pp. 363-364

- Richard William Farebrother
Volume 27, issue 1, 2018
- Two-scale spatial models for binary data pp. 1-24

- Cécile Hardouin and Noel Cressie
- Testing for sub-models of the skew t-distribution pp. 25-44

- Thomas J. DiCiccio and Anna Clara Monti
- The Tempered Discrete Linnik distribution pp. 45-68

- Lucio Barabesi, Carolina Becatti and Marzia Marcheselli
- Likelihood-based risk estimation for variance-gamma models pp. 69-89

- Marco Bee, Maria Michela Dickson and Flavio Santi
- Bayesian analysis of dynamic panel data by penalized quantile regression pp. 91-108

- Ali Aghamohammadi
- Effect of autocorrelation when estimating the trend of a time series via penalized least squares with controlled smoothness pp. 109-130

- Víctor M. Guerrero, Daniela Cortés Toto and Hortensia J. Reyes Cervantes
- Dynamic factor analysis for short panels: estimating performance trajectories for water utilities pp. 131-150

- Nikolaos Zirogiannis and Yorghos Tripodis
- Evaluation of long-term health care services through a latent Markov model with covariates pp. 151-173

- Giorgio E. Montanari and Silvia Pandolfi
Volume 26, issue 4, 2017
- Empirical likelihood ratio in penalty form and the convex hull problem pp. 507-529

- Roberto Baragona, Francesco Battaglia and Domenico Cucina
- Small area estimation based on M-quantile models in presence of outliers in auxiliary variables pp. 531-555

- Stefano Marchetti, Caterina Giusti, Nicola Salvati and Monica Pratesi
- Benchmarking techniques for reconciling Bayesian small area models at distinct geographic levels pp. 557-581

- Ryan Janicki and Andrew Vesper
- Transformation approaches of linear random-effects models pp. 583-608

- Yongge Tian
- Multiple treatment comparisons in analysis of covariance with interaction pp. 609-628

- Frank Schaarschmidt
- Distribution-dependent and distribution-free confidence intervals for the variance pp. 629-648

- Brent D. Burch
- Robust skew-t factor analysis models for handling missing data pp. 649-672

- Wan-Lun Wang, Min Liu and Tsung-I Lin
Volume 26, issue 3, 2017
- Random-intercept misspecification in generalized linear mixed models for binary responses pp. 333-359

- Shun Yu and Xianzheng Huang
- Multivariate posterior singular spectrum analysis pp. 361-382

- Ilkka Launonen and Lasse Holmström
- Modeling data with a truncated and inflated Poisson distribution pp. 383-401

- Min-Hsiao Tsai and Ting Hsiang Lin
- $$D_s$$ D s -optimality in copula models pp. 403-418

- Elisa Perrone, Andreas Rappold and Werner Müller
- On the effect of dependency in information properties of series and parallel systems pp. 419-435

- Abdolsaeed Toomaj
- Estimation and asymptotic covariance matrix for stochastic volatility models pp. 437-452

- Maddalena Cavicchioli
- Term structure forecasting in affine framework with time-varying volatility pp. 453-483

- Wali Ullah
- Statistical matching and uncertainty analysis in combining household income and expenditure data pp. 485-505

- Pier Luigi Conti, Daniela Marella and Andrea Neri
Volume 26, issue 2, 2017
- Divergence based robust estimation of the tail index through an exponential regression model pp. 181-213

- Abhik Ghosh
- On functional central limit theorems of Bayesian nonparametric priors pp. 215-229

- Luai Al Labadi and Ibrahim Abdelrazeq
- Z-process method for change point problems with applications to discretely observed diffusion processes pp. 231-250

- Ilia Negri and Yoichi Nishiyama
- Discriminating membrane proteins using the joint distribution of length sums of success and failure runs pp. 251-272

- Sotirios Bersimis, Athanasios Sachlas and Pantelis G. Bagos
- High dimensional extension of the growth curve model and its application in genetics pp. 273-292

- Sayantee Jana, Narayanaswamy Balakrishnan, Dietrich Rosen and Jemila Seid Hamid
- Gender wage inequalities in Switzerland: the public versus the private sector pp. 293-316

- Mihaela Catalina Anastasiade and Yves Tillé
- Combining micro and macro data in hedonic price indexes pp. 317-332

- Esmeralda A. Ramalho, Joaquim Ramalho and Rui Evangelista
Volume 26, issue 1, 2017
- Improved multivariate prediction regions for Markov process models pp. 1-18

- Paolo Vidoni
- Rate of uniform consistency for a class of mode regression on functional stationary ergodic data pp. 19-47

- Mohamed Chaouch, Naâmane Laïb and Djamal Louani
- Population size estimation and heterogeneity in capture–recapture data: a linear regression estimator based on the Conway–Maxwell–Poisson distribution pp. 49-79

- Orasa Anan, Dankmar Böhning and Antonello Maruotti
- On the $$L_p$$ L p norms of kernel regression estimators for incomplete data with applications to classification pp. 81-112

- Timothy Reese and Majid Mojirsheibani
- On the decomposition by sources of the Zenga 1984 point and synthetic inequality indexes pp. 113-133

- Alberto Arcagni
- Testing economic convergence in non-stationary panel pp. 135-156

- Abdou-Aziz Niang
- Heterogeneity, school-effects and the North/South achievement gap in Italian secondary education: evidence from a three-level mixed model pp. 157-180

- Tommaso Agasisti, Francesca Ieva and Anna Maria Paganoni
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