Applied Stochastic Models in Business and Industry

Cover image for Vol. 32 Issue 2

Editor-in-Chief: Fabrizio Ruggeri, CNR-IMATI, Milan, Italy; Editor: Emmanuel Yashchin, IBM, USA

Impact Factor: 0.725

ISI Journal Citation Reports © Ranking: 2014: 64/81 (Operations Research & Management Science); 76/122 (Statistics & Probability); 76/99 (Mathematics Interdisciplinary Applications)

Online ISSN: 1526-4025

Discussion Papers


Efficient prediction designs for random fields (OnlineOpen article)
Werner G. Müller, Luc Pronzato, Joao Rendas and Helmut Waldl

Opportunities to empower statisticians in emerging areas
Christine M. Anderson-Cook

Statistical learning methods for information security: fundamentals and case studies
H.-K. Pao, Y.-J. Lee and C.-Y. Huang

Start-up demonstration tests: models, methods and applications, with some unifications
N. Balakrishnan, M.V. Koutras and F.S. Milienos

Discussion of ‘Multivariate Dynamic Regression: Modeling and Forecasting for Intraday Electricity Load’
E. Gutiérrez-Peña and M. Mendoza

Discussion of ‘Multivariate dynamic regression: modeling and forecasting for intraday electricity load’ by Migon and Alves
Wilfredo Palma

System availability assessment using stochastic models
Kishor S. Trivedi, Dong-Seong Kim, Rahul Ghosh

Comments for ‘System availability assessment using stochastic models’
Toshio Nakagawa

‘System availability assessment using stochastic models’ by K. S. Trivedi, D. S. Kim and R. Ghosh
Miroslaw Malek

 

Five examples of assessment and expression of measurement uncertainty
Antonio Possolo

Discussion on ‘Five examples of assessment and expression of measurement uncertainty’ by Antonio Possolo
Leon J. Gleser

An approach for identifying and predicting economic recessions in real-time using time–frequency functional models
Scott H. Holan, Wen-Hsi Yang, David S. Matteson, Christopher K. Wikle

Discussion of “An approach for identifying and predicting economic recessions in real-time using time-frequency functional models” by Holan, Yang, Matteson, and Wikle
Eric Ghysels, Michael T. Owyang

Discussion on an approach for identifying and predicting economic recessions in real-time using time-frequency functional models
Katherine B. Ensor

 

Hierarchical Bayesian autoregressive models for large space–time data with applications to ozone concentration modelling
Sujit Kumar Sahu, Khandoker Shuvo Bakar

Discussions on ‘Hierarchical Bayesian auto-regressive models for large space time data with applications to ozone concentration modelling’ by S. K. Sahu and K. S. Bakar
Debasis Kundu

Discussion on ‘Hierarchical Bayesian auto-regressive models for large space time data with applications to ozone concentration modelling’ by Sujit Kumar Sahu and Khandoker Shuvo Bakar
Ashis Sengupta

Hierarchical Bayesian auto-regressive models for large space time data with applications to ozone concentration modelling by Sujit Kumar Sahu and Khandoker Shuvo Bakar: Rejoinder

 

Real-time road traffic forecasting using regime-switching space-time models and adaptive LASSO
Yiannis Kamarianakis, Wei Shen, Laura Wynter

‘Real-time road traffic forecasting using regime-switching space-time models and adaptive lasso’ by Y. Kamarianakis, W. Shen, and L. Wynter
PH.D. P.E. Billy M. Williams

Rejoinder: real-time road traffic forecasting using regime-switching space–time models and adaptive lasso Yiannis Kamarianakis, Wei Shen, Laura Wynter

 

The COM-Poisson model for count data: a survey of methods and applications
Kimberly F. Sellers, Sharad Borle, Galit Shmueli

‘The COM-Poisson model for count data: a survey of methods and applications’ by K. Sellers, S. Borle and G. Shmueli
Ron S. Kenett

The Conway–Maxwell–Poisson model for analyzing crash data
Dominique Lord and Seth D. Guikema

Rejoinder: The COM-Poisson Model for count data: A survey of methods and applications
Kimberly F. Sellers, Sharad Borle and Galit Shmueli

 

A comparison of generalized multinomial logit and latent class approaches to studying consumer heterogeneity with some extensions of the generalized multinomial logit model
Joseph Pancras, Dipak K. Dey

A comparison of generalized multinomial logit (GMNL) and latent class approaches to studying consumer heterogeneity with some extensions of the GMNL model by J. Pancras and D.K. Dey
Duncan K. H. Fong

A comparison of generalized multinomial logit (GMNL) and latent class approaches to studying consumer heterogeneity with some extensions of the GMNL model by Peter J. Lenk
Peter Lenk

Rejoinder to Fong (2011) and Lenk (2011)'s comments on ‘A comparison of generalized multinomial logit and latent class approaches to studying consumer heterogeneity with some extensions of the generalized multinomial logit model’
Joseph Pancras and Dipak K. Dey

 

Modern analysis of customer satisfaction surveys: comparison of models and integrated analysis
Ron S. Kenett, Silvia Salini

Discussion of ‘Modern analysis of customer satisfaction surveys: comparison of models and integrated analysis’ by Kennett and Salini
Christopher McCollin

Comment on ‘Modern analysis of customer satisfaction surveys: comparison of models and integrated analysis’
Rainer Göb

Rejoinder to ‘Modern analysis of customer satisfaction surveys: comparison of models and integrated analysis’
Ron S. Kenett and Silvia Salini

 

Nonstationarity in statistical process control — issues, cases, ideas
Bart De Ketelaere, Kristof Mertens, Frank Mathijs, Daniel Sabin Diaz, Josse De Baerdemaeker

'Nonstationarity in statistical process control – issues, cases, ideas’ by B. De Ketelaere, K. Mertens, F. Mathijs, D. Sabin Diaz and J. De Baerdemaeker
Albert De Vries

Nonstationarity in statistical process control – issues, cases, ideas’ by B. De Ketelaere, K. Mertens, F. Mathijs, D. Sabin Diaz and J. De Baerdemaeker
Alberto Ferrer

Nonstationarity in statistical process control — issues, cases, ideas: rejoinder
Bart De Ketelaere, Kristof Mertens, Frank Mathijs, Daniel Sabin Diaz and Josse De Baerdemaeker

 

The usefulness of Bayesian optimal designs for discrete choice experiments
Roselinde Kessels, Bradley Jones, Peter Goos, Martina Vandebroek

The usefulness of Bayesian optimal designs for discrete choice experiments’ by Roselinde Kessels, Bradley Jones, Peter Goos and Martina Vandebroek
Heinz Holling and Rainer Schwabe

'The usefulness of Bayesian optimal designs for discrete choice experiments’ by R. Kessels, B. Jones, P. Goos and M. Vandebroek
John M. Rose

 

Adversarial risk analysis: Borel games
David Banks, Francesca Petralia, Shouqiang Wang

Adversarial Risk Analysis: What's new, what isn't?: Discussion of Adversarial Risk Analysis: Borel Games
Joseph B. Kadane

Discussion on ‘Adversarial risk analysis: Borel games’
Nicholas Polson

 

Risk modelling with the mixed Erlang distribution
Gordon E. Willmot, X. Sheldon Lin

'Risk modelling with the mixed Erlang distribution’ by G. E. Willmot and S. Lin
David A. Stanford

Discussion of ‘Risk Modelling with the Mixed Erlang Distribution’ by Gordon E. Willmot and X. Sheldon Lin
José Garrido

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