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There are 613 results for: content related to: Comment on ‘Modern analysis of customer satisfaction surveys: comparison of models and integrated analysis’

  1. A multiblock PLS-based algorithm applied to a causal model in marketing

    Applied Stochastic Models in Business and Industry

    Volume 29, Issue 3, May/June 2013, Pages: 241–253, David Servera-Francés, Francisco Arteaga-Moreno, Irene Gil-Saura and Martina G. Gallarza

    Version of Record online : 16 JUL 2012, DOI: 10.1002/asmb.1913

  2. Stochastic modelling and analysis of degradation for highly reliable products

    Applied Stochastic Models in Business and Industry

    Volume 31, Issue 1, January/February 2015, Pages: 16–32, Zhi-Sheng Ye and Min Xie

    Version of Record online : 10 OCT 2014, DOI: 10.1002/asmb.2063

  3. Start-up demonstration tests: models, methods and applications, with some unifications

    Applied Stochastic Models in Business and Industry

    Volume 30, Issue 4, July/August 2014, Pages: 373–413, N. Balakrishnan, M.V. Koutras and F.S. Milienos

    Version of Record online : 10 JUN 2014, DOI: 10.1002/asmb.2040

  4. You have free access to this content
    Estimating structural credit risk models when market prices are contaminated with noise

    Applied Stochastic Models in Business and Industry

    Volume 32, Issue 1, January/February 2016, Pages: 18–32, Tae Yeon Kwon*†‡ and Yoonjung Lee

    Version of Record online : 5 MAY 2015, DOI: 10.1002/asmb.2120

  5. System availability assessment using stochastic models

    Applied Stochastic Models in Business and Industry

    Volume 29, Issue 2, March/April 2013, Pages: 94–109, Kishor S. Trivedi, Dong-Seong Kim and Rahul Ghosh

    Version of Record online : 31 JUL 2012, DOI: 10.1002/asmb.951

  6. Statistical learning methods for information security: fundamentals and case studies

    Applied Stochastic Models in Business and Industry

    Volume 31, Issue 2, March/April 2015, Pages: 97–113, H.-K. Pao, Y.-J. Lee and C.-Y. Huang

    Version of Record online : 6 AUG 2014, DOI: 10.1002/asmb.2052

  7. Five examples of assessment and expression of measurement uncertainty

    Applied Stochastic Models in Business and Industry

    Volume 29, Issue 1, January/February 2013, Pages: 1–18, Antonio Possolo

    Version of Record online : 12 OCT 2012, DOI: 10.1002/asmb.1947

  8. Efficient performance evaluation of the generalized Shiryaev–Roberts detection procedure in a multi-cyclic setup

    Applied Stochastic Models in Business and Industry

    Volume 30, Issue 6, November/December 2014, Pages: 723–739, Aleksey S. Polunchenko, Grigory Sokolov and Wenyu Du

    Version of Record online : 17 MAR 2014, DOI: 10.1002/asmb.2026

  9. An overview of George Box's contributions to process monitoring and feedback adjustment

    Applied Stochastic Models in Business and Industry

    Volume 30, Issue 1, January/February 2014, Pages: 53–61, William H. Woodall and Enrique del Castillo

    Version of Record online : 6 FEB 2014, DOI: 10.1002/asmb.2019

  10. Robust pair-copula based forecasts of realized volatility

    Applied Stochastic Models in Business and Industry

    Volume 30, Issue 2, March/April 2014, Pages: 183–199, Beatriz Vaz de Melo Mendes and Victor Bello Accioly

    Version of Record online : 7 JAN 2013, DOI: 10.1002/asmb.1960

  11. T-optimality and neural networks: a comparison of approaches for building experimental designs

    Applied Stochastic Models in Business and Industry

    Volume 29, Issue 5, September/October 2013, Pages: 454–467, Rossella Berni, Davide De March and Federico M. Stefanini

    Version of Record online : 11 JUN 2012, DOI: 10.1002/asmb.1924

  12. Modeling high-dimensional time-varying dependence using dynamic D-vine models

    Applied Stochastic Models in Business and Industry

    Carlos Almeida, Claudia Czado and Hans Manner

    Version of Record online : 13 JUN 2016, DOI: 10.1002/asmb.2182

  13. Detecting and interpreting clusters of economic activity in rural areas using scan statistic and LISA under a unified framework

    Applied Stochastic Models in Business and Industry

    Volume 30, Issue 5, September/October 2014, Pages: 573–587, S. Bersimis, C. Chalkias and T. Anthopoulou

    Version of Record online : 19 JAN 2014, DOI: 10.1002/asmb.2003

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    Construction of efficient experimental designs under multiple resource constraints

    Applied Stochastic Models in Business and Industry

    Volume 32, Issue 1, January/February 2016, Pages: 3–17, Radoslav Harman, Alena Bachratá and Lenka Filová

    Version of Record online : 26 MAR 2015, DOI: 10.1002/asmb.2117

  15. Bayesian gamma processes for optimizing condition-based maintenance under uncertainty

    Applied Stochastic Models in Business and Industry

    Volume 31, Issue 3, May/June 2015, Pages: 360–379, N. Bousquet, M. Fouladirad, A. Grall and C. Paroissin

    Version of Record online : 28 NOV 2014, DOI: 10.1002/asmb.2076

  16. Constructions and applications of lifetime distributions

    Applied Stochastic Models in Business and Industry

    Volume 29, Issue 2, March/April 2013, Pages: 127–140, C.D. Lai

    Version of Record online : 28 NOV 2012, DOI: 10.1002/asmb.948

  17. A note on efficient performance evaluation of the Cumulative Sum chart and the Sequential Probability Ratio Test

    Applied Stochastic Models in Business and Industry

    Aleksey S. Polunchenko

    Version of Record online : 21 JUN 2016, DOI: 10.1002/asmb.2181

  18. You have free access to this content
    Capital adequacy and risk management in banking industry

    Applied Stochastic Models in Business and Industry

    Volume 32, Issue 1, January/February 2016, Pages: 113–132, Fatma Chakroun and Fathi Abid

    Version of Record online : 23 JUL 2015, DOI: 10.1002/asmb.2127

  19. Hierarchical Bayesian autoregressive models for large space–time data with applications to ozone concentration modelling

    Applied Stochastic Models in Business and Industry

    Volume 28, Issue 5, September/October 2012, Pages: 395–415, Sujit Kumar Sahu and Khandoker Shuvo Bakar

    Version of Record online : 12 OCT 2012, DOI: 10.1002/asmb.1951

  20. Intensity-based estimation of extreme loss event probability and value at risk

    Applied Stochastic Models in Business and Industry

    Volume 29, Issue 3, May/June 2013, Pages: 171–186, Kamal Hamidieh, Stilian Stoev and George Michailidis

    Version of Record online : 4 NOV 2012, DOI: 10.1002/asmb.1915