Applied Stochastic Models in Business and Industry
1999 - 2021
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Volume 26, issue 6, 2010
- A modern Bayesian look at the multi‐armed bandit pp. 639-658

- Steven L. Scott
- ‘A modern Bayesian look at the multi‐armed bandit’ by Steven L. Scott: Discussion pp. 659-664

- Deepak K. Agarwal
- ‘A modern Bayesian look at the multi‐armed bandit’ by Steven L. Scott: Rejoinder pp. 665-667

- Steven L. Scott
- Analysis of ordered categorical data to develop control charts for monitoring customer loyalty pp. 668-688

- Y. Samimi, A. Aghaie and M. J. Tarokh
- System availability in a shock model under preventive repair and phase‐type distributions pp. 689-704

- Delia Montoro‐Cazorla and Rafael Pérez‐Ocón
- Optimal server allocation in general, finite, multi‐server queueing networks pp. 705-736

- J. MacGregor Smith, F. R. B. Cruz and T. van Woensel
- Exchangeable claim sizes in a compound Poisson‐type process pp. 737-757

- Ramsés H. Mena and Luis E. Nieto‐Barajas
- Dynamic pricing model and algorithm for perishable products with fuzzy demand pp. 758-774

- Yu Xiong, Gendao Li and Kiran Jude Fernandes
- Comparisons of series and parallel systems with components sharing the same copula pp. 775-791

- Jorge Navarro and Fabio Spizzichino
- Optimal investment and consumption with stochastic dividends pp. 792-808

- Xikui Wang and Yan Wang
Volume 26, issue 5, 2010
- Statistical methods for automatic crack detection based on vibrothermography sequence‐of‐images data pp. 481-495

- Ming Li, Stephen D. Holland and William Q. Meeker
- ‘Statistical methods for automatic crack detection based on vibrothermography sequence‐of‐images data’ by M. Li, S. D. Holland and W. Q. Meeker: Discussion 1 pp. 496-501

- Petr Volf
- ‘Statistical methods for automatic crack detection based on vibrothermography sequence‐of‐image data’ by M. Li, S. D. Holland and W. Q. Meeker: Discussion 2 pp. 502-508

- Guérin Fabrice
- ‘Statistical methods for automatic crack detection based on vibrothermography sequence‐of‐images data’ by M. Li, S. D. Holland and W. Q. Meeker: Rejoinder pp. 509-512

- Ming Li, Stephen D. Holland and William Q. Meeker
- Using economic X control chart design methodology to estimate and optimize machine efficiency in the case of multimachine assignments pp. 513-534

- A. Baki Engin
- Tracking customer portfolio composition: A factor analysis approach pp. 535-550

- Elena Abascal, Ignacio García Lautre and Fermín Mallor
- Spatial contagion between financial markets: a copula‐based approach pp. 551-564

- Fabrizio Durante and Piotr Jaworski
- Kriging as an alternative for a more precise analysis of output parameters in nuclear safety—Large break LOCA calculation pp. 565-576

- Olivier Roustant, Jérôme Joucla and Pierre Probst
- A standby system with two types of repair persons pp. 577-594

- Bruno Bieth, Liang Hong and Jyotirmoy Sarkar
- Maximum entropy probability method applied to assess voltage sag frequency due to transmission line fault in the electric power system pp. 595-608

- Xian‐Yong Xiao, Chao Ma, Hong‐Geng Yang and Hua‐Qiang Li
- Hedging unit‐linked life insurance contracts in a financial market driven by shot‐noise processes pp. 609-623

- Junna Bi and Junyi Guo
- A stochastic model for a general load‐sharing system under overload condition pp. 624-638

- Won Young Yun and Ji Hwan Cha
Volume 26, issue 4, 2010
- Bayesian source detection and parameter estimation of a plume model based on sensor network measurements pp. 331-348

- Chunfeng Huang, Tailen Hsing, Noel Cressie, Auroop R. Ganguly, Vladimir A. Protopopescu and Nageswara S. Rao
- ‘Bayesian source detection and parameter estimation of a plume model based on sensor network measurements’ by C. Huang et al.: Discussion 1 pp. 349-352

- Alessandro Fassò and Francesco Finazzi
- ‘Bayesian source detection and parameter estimation of a plume model based on sensor network measurements’ by C. Huang et al.: Discussion 2 pp. 353-357

- Scott H. Holan and Christopher K. Wikle
- ‘Bayesian source detection and parameter estimation of a plume model based on sensor network measurements’ by C. Huang et al.: Discussion 3 pp. 358-359

- Michael Steinbach
- ‘Bayesian source detection and parameter estimation of a plume model based on sensor network measurements’ by C. Huang et al.: Rejoinder pp. 360-361

- Chunfeng Huang, Tailen Hsing, Noel Cressie, Auroop R. Ganguly, Vladimir A. Protopopescu and Nageswara S. Rao
- Upper bounds for ruin probabilities in two dependent risk models under rates of interest pp. 362-373

- Dingjun Yao and Rongming Wang
- Inducing normality from non‐Gaussian long memory time series and its application to stock return data pp. 374-388

- Kyungduk Ko
- A robust approach for assessing misclassification rates under the two‐component measurement error model pp. 389-400

- Daniela Cocchi and Michele Scagliarini
- Risk‐minimizing hedging strategies with restricted information and cost pp. 401-415

- Jianqi Yang and Qingxian Xiao
- An integrated inventory model with controllable lead time and distribution‐free demand pp. 416-430

- Shu‐Lu Hsu and Yar‐Fen Huang
- Two‐strata rotatability in split‐plot central composite designs pp. 431-447

- Li Wang, G. Geoffrey Vining and Scott M. Kowalski
- Divergences without probability vectors and their applications pp. 448-472

- Athanasios Sachlas and Takis Papaioannou
- A note on transfer function model specification with noisy closed‐loop input data pp. 473-480

- Johannes Ledolter
Volume 26, issue 3, 2010
- Trend estimation of financial time series pp. 205-223

- Víctor M. Guerrero and Adriana Galicia‐Vázquez
- On the estimation of the heavy‐tail exponent in time series using the max‐spectrum pp. 224-253

- Stilian A. Stoev and George Michailidis
- Pricing credit derivatives under stochastic recovery in a hybrid model pp. 254-276

- Stephan Höcht and Rudi Zagst
- Implementing loss distribution approach for operational risk pp. 277-307

- Pavel V. Shevchenko
- Assessment of mortgage default risk via Bayesian reliability models pp. 308-330

- Refik Soyer and Feng Xu
Volume 26, issue 2, 2010
- Shrinkage drift parameter estimation for multi‐factor Ornstein–Uhlenbeck processes pp. 103-124

- Sévérien Nkurunziza and S. Ejaz Ahmed
- Pension funding problem with regime‐switching geometric Brownian motion assets and liabilities pp. 125-141

- Ping Chen and Hailiang Yang
- Application in stochastic volatility models of nonlinear regression with stochastic design pp. 142-156

- Ping Chen and Jinde Wang
- Robust optimization for multiple responses using response surface methodology pp. 157-171

- Zhen He, Jing Wang, Jinho Oh and Sung H. Park
- Bayesian modeling of financial returns: A relationship between volatility and trading volume pp. 172-193

- Carlos A. Abanto‐Valle, Helio S. Migon and Hedibert F. Lopes
- Do not adjust coefficients in Shapley value regression pp. 194-202

- Ulrike Grömping and Sabine Landau
- Reply to the paper ‘Do not adjust coefficients in Shapley value regression’ by U. Gromping, S. Landau, Applied Stochastic Models in Business and Industry, 2009; DOI: 10.1002/asmb.773 pp. 203-204

- Stan Lipovetsky and W. Michael Conklin
Volume 26, issue 1, 2010
- Data analytics and stochastic modeling in a semiconductor fab pp. 1-27

- Sugato Bagchi, Robert J. Baseman, Andrew Davenport, Ramesh Natarajan, Noam Slonim and Sholom Weiss
- Falling and explosive, dormant, and rising markets via multiple‐regime financial time series models pp. 28-49

- Cathy W. S. Chen, Richard H. Gerlach and Ann M. H. Lin
- Sensitivity analysis of the moments of the profit on an Income Protection Policy pp. 50-70

- Isabel Maria Cordeiro and Pedro Manuel Magalhães
- Mean–variance efficiency with extended CIR interest rates pp. 71-84

- René Ferland and François Watier
- Mining performance data through nonlinear PCA with optimal scaling pp. 85-101

- Paola Costantini, Marielle Linting and Giovanni C. Porzio
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