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Shape parameter

  • A Study of Non-Central Skew T Distributions and Their Applications in Data Analysis and Change Point Detection

    A Study of Non-Central Skew T Distributions and Their Applications in Data Analysis and Change Point Detection

  • On the Meaning and Use of Kurtosis

    On the Meaning and Use of Kurtosis

  • A Multivariate Student's T-Distribution

    A Multivariate Student's T-Distribution

  • A Family of Skew-Normal Distributions for Modeling Proportions and Rates with Zeros/Ones Excess

    A Family of Skew-Normal Distributions for Modeling Proportions and Rates with Zeros/Ones Excess

  • A Study of Ocean Wave Statistical Properties Using SNOW

    A Study of Ocean Wave Statistical Properties Using SNOW

  • Procedures for Estimation of Weibull Parameters James W

    Procedures for Estimation of Weibull Parameters James W

  • Location-Scale Distributions

    Location-Scale Distributions

  • Power Birnbaum-Saunders Student T Distribution

    Power Birnbaum-Saunders Student T Distribution

  • Performance of the Maximum Likelihood Estimators for the Parameters of Multivariate Generalized Gaussian Distributions

    Performance of the Maximum Likelihood Estimators for the Parameters of Multivariate Generalized Gaussian Distributions

  • Parametric Forecasting of Value at Risk Using Heavy-Tailed Distribution

    Parametric Forecasting of Value at Risk Using Heavy-Tailed Distribution

  • Bayesian Life Test Planning for the Log-Location-Scale Family of Distributions

    Bayesian Life Test Planning for the Log-Location-Scale Family of Distributions" (2014)

  • Multivariate Student Versus Multivariate Gaussian Regression Models with Application to Finance

    Multivariate Student Versus Multivariate Gaussian Regression Models with Application to Finance

  • Modified Moment Method Estimator for the Shape Parameter of Generalized Gaussian Distribution for a Small Sample Size Robert Krupiński

    Modified Moment Method Estimator for the Shape Parameter of Generalized Gaussian Distribution for a Small Sample Size Robert Krupiński

  • Bayesian Estimation for the Centered Parameterization of the Skew-Normal Distribution

    Bayesian Estimation for the Centered Parameterization of the Skew-Normal Distribution

  • APPENDIX B Probability Review

    APPENDIX B Probability Review

  • MATHEMATICAL ENGINEERING TECHNICAL REPORTS Skewness

    MATHEMATICAL ENGINEERING TECHNICAL REPORTS Skewness

  • L-Moments for Automatic Threshold Selection in Extreme Value Analysis

    L-Moments for Automatic Threshold Selection in Extreme Value Analysis

  • The Skew-Normal Distribution in Spc

    The Skew-Normal Distribution in Spc

Top View
  • A Class of Multivariate Skew Distributions: Properties and Inferential Issues
  • The Utility of L-Moment Ratio Diagrams for Selecting a Regional Probability Distribution
  • 1 Incorporation of Weibull Distribution in L-Moments
  • Parameter Estimation: Method of Moments (PDF)
  • Lecture 1. Random Vectors and Multivariate Normal Distribution
  • A Comparison of Shape and Scale Estimators of the Two-Parameter Weibull Distribution Florence George Florida International University, [email protected]
  • On the Asymptotic Distribution of an Alternative Measure of Kurtosis
  • Mathematical Statistics: Exercises and Solutions
  • Parameter Estimation for Multivariate Generalized Gaussian Distributions Fred´ Eric´ Pascal, Lionel Bombrun, Jean-Yves Tourneret and Yannick Berthoumieu
  • Estimation of the Shape Parameter of Ged Distribution for a Small Sample Size
  • Package 'Lmom'
  • Stress-Strength Weibull Analysis with Different Shape Parameter Β and Probabilistic Safety Factor •
  • Upgrading from Gaussian Processes to Student's-T Processes
  • Applied Reliabilty Class Notes in Powerpoint
  • Proof of Conjectures on the Standard Deviation, Skewness and Kurtosis of the Shifted Gompertz Distribution
  • Properties and Applications of a New Family of Skew Distributions
  • Approximated Fast Estimator for the Shape Parameter of Generalized Gaussian Distribution for a Small Sample Size
  • Introduction of Shape/ Skewness Parameter (S) in a Probability Distribution


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