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  1. You have free access to this content
    Epilogue

    Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

    Etienne de Rocquigny, Pages: 427–428, 2012

    Published Online : 11 APR 2012, DOI: 10.1002/9781119969495.epil

  2. A Generic Tutorial Example: Natural Risk in an Industrial Installation

    Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

    Etienne de Rocquigny, Pages: 77–101, 2012

    Published Online : 11 APR 2012, DOI: 10.1002/9781119969495.ch3

  3. You have free access to this content
    Index

    Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

    Etienne de Rocquigny, Pages: 429–434, 2012

    Published Online : 11 APR 2012, DOI: 10.1002/9781119969495.index

  4. A Generic Modelling Framework

    Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

    Etienne de Rocquigny, Pages: 34–76, 2012

    Published Online : 11 APR 2012, DOI: 10.1002/9781119969495.ch2

  5. You have free access to this content
    Wiley Series in Probability and Statistics

    Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

    Etienne de Rocquigny, Pages: 435–444, 2012

    Published Online : 11 APR 2012, DOI: 10.1002/9781119969495.scard

  6. Conclusion: Perspectives of Modelling in the Context of Risk and Uncertainty and Further Research

    Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

    Etienne de Rocquigny, Pages: 374–377, 2012

    Published Online : 11 APR 2012, DOI: 10.1002/9781119969495.ch9

  7. Understanding Natures of Uncertainty, Risk Margins and Time Bases for Probabilistic Decision-Making

    Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

    Etienne de Rocquigny, Pages: 102–142, 2012

    Published Online : 11 APR 2012, DOI: 10.1002/9781119969495.ch4

  8. Optimising Under Uncertainty: Economics and Computational Challenges

    Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

    Etienne de Rocquigny, Pages: 347–373, 2012

    Published Online : 11 APR 2012, DOI: 10.1002/9781119969495.ch8

  9. Computational Methods for Risk and Uncertainty Propagation

    Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

    Etienne de Rocquigny, Pages: 271–346, 2012

    Published Online : 11 APR 2012, DOI: 10.1002/9781119969495.ch7

  10. Annexes

    Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

    Etienne de Rocquigny, Pages: 378–426, 2012

    Published Online : 11 APR 2012, DOI: 10.1002/9781119969495.ch10

  11. Combined Model Estimation through Inverse Techniques

    Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

    Etienne de Rocquigny, Pages: 206–270, 2012

    Published Online : 11 APR 2012, DOI: 10.1002/9781119969495.ch6

  12. Applications and Practices of Modelling, Risk and Uncertainty

    Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

    Etienne de Rocquigny, Pages: 1–33, 2012

    Published Online : 11 APR 2012, DOI: 10.1002/9781119969495.ch1

  13. Direct Statistical Estimation Techniques

    Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

    Etienne de Rocquigny, Pages: 143–205, 2012

    Published Online : 11 APR 2012, DOI: 10.1002/9781119969495.ch5

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    Front Matter

    Modeling Atmospheric and Oceanic Flows: Insights from Laboratory Experiments and Numerical Simulations

    Thomas von Larcher, Paul D. Williams, Pages: i–xiii, 2014

    Published Online : 14 NOV 2014, DOI: 10.1002/9781118856024.fmatter

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    Appendix

    Models for Probability and Statistical Inference: Theory and Applications

    James H. Stapleton, Pages: 381–410, 2007

    Published Online : 29 MAR 2007, DOI: 10.1002/9780470183410.app1

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    Front Matter

    Understanding Mathematical and Statistical Techniques in Hydrology: An Examples-Based Approach

    Harvey J. E. Rodda, Max A. Little, Pages: i–xi, 2016

    Published Online : 22 JAN 2016, DOI: 10.1002/9781119077985.fmatter

  17. Variable Types

    Managing Your Patients' Data in the Neonatal and Pediatric ICU: An Introduction to Databases and Statistical Analysis

    Joseph Schulman, Pages: 195–197, 2008

    Published Online : 11 JAN 2008, DOI: 10.1002/9780470757451.ch21

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    Frontmatter

    The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies, Second Edition

    Bradley E. Huitema, Pages: i–xvi, 2011

    Published Online : 14 OCT 2011, DOI: 10.1002/9781118067475.fmatter

  19. Aims of a Patient Data Management Process

    Managing Your Patients' Data in the Neonatal and Pediatric ICU: An Introduction to Databases and Statistical Analysis

    Joseph Schulman, Pages: 17–19, 2008

    Published Online : 11 JAN 2008, DOI: 10.1002/9780470757451.ch4

  20. You have free access to this content
    Front Matter

    Bio-Nanoparticles: Biosynthesis and Sustainable Biotechnological Implications

    Om V. Singh, Pages: i–xix, 2015

    Published Online : 10 APR 2015, DOI: 10.1002/9781118677629.fmatter