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- L-Moments for Automatic Threshold Selection in Extreme Value Analysis
- A Class of Multivariate Skew Distributions: Properties and Inferential Issues
- Study of Unified Multivariate Skew Normal Distribution with Applications in Finance and Actuarial Science
- Simultaneously Testing for Location and Scale Parameters of Two Multivariate Distributions
- Figure : Examples of Univariate Gaussian S N(X; Μ, Σ2)
- Investigating the Generalized T-Distribution
- Median of the P Value Under the Alternative Hypothesis
- Scan Statistics for Detecting a Local Change in the Scale Parameter for Gamma Random Variables Qian Meng University of Connecticut - Storrs, [email protected]
- Parameter Estimation for Multivariate Generalized Gaussian Distributions Fred´ Eric´ Pascal, Lionel Bombrun, Jean-Yves Tourneret and Yannick Berthoumieu
- A Student-T Based Filter for Robust Signal Detection
- Joint Modelling of Location, Scale and Skewness Parameters of the Skew Laplace Normal Distribution
- Package 'Lmom'
- Robust Scale Estimation for the Generalized Gaussian Probability Density Function
- Skewness and Kurtosis As Locally Best Invariant Tests of Normality
- Statistical Inferences for Functions of Parameters of Several Pareto and Exponential Populations with Application in Data Traffic
- Useful Properties of the Multivariate Normal*
- Lifetime Models with Nonconstant Shape Parameters
- Properties and Applications of a New Family of Skew Distributions
- A Frequentist Alternative to Significance Testing, P-Values, And
- Introduction of Shape/ Skewness Parameter (S) in a Probability Distribution
- Skewness by Splitting the Scale Parameter
- 1 Definition of a Scale Parameter
- A Statistical Inference Course Based on P-Values Arxiv:1606.02352V1
- Statistical Inference Based on L-Moments
- The Exponential Family: Basics
- On Pitman Domination Seongmo Yoo Iowa State University
- A Review of Student's T Distribution and Its Generalizations
- Student's T-Distribution
- 1 Location-Scale Family
- WTF Is a Multivariate Normal?
- Athens University of Economics and Business
- Kurtosis Modelling by Means of the J-Transformation 1 Introduction
- A Practical Procedure to Estimate the Shape Parameter in the Generalized Gaussian Distribution
- Lecture 9: Exponential and Location-Scale Families
- A Generalization of the Weibull Distribution with Applications Maalee Almheidat University of Petra, Amman, Jordan, [email protected]
- Multistage Estimation of the Scale Parameter of Rayleigh Distribution with Simulation
- Robust Estimation of Skew-Normal Distribution with Location and Scale Parameters Via Log-Regularly Varying Functions
- Statistical Analysis of Skew Normal Distribution and Its Applications
- Pearsonds: Pearson Distribution System
- Estimation of the Scale Parameter in the Weibuil
- Estimating Distribution Parameters of Extreme Hydrometeorological Characteristics by L Moment Method T
- On the Regression Model for Generalized Normal Distributions
- Statistical Inference for a New Class of Skew T Distribution and Its Related Properties
- Robustness Aspects of the Generalized Normal Distribution
- Investigation and Comparison of Sampling Properties of L-Moments and Conventional Moments
- 11. the Pareto Distribution
- A Complex Generalized Gaussian Distribution—Characterization, Generation, and Estimation Mike Novey, Member, IEEE, Tulay¨ Adalı, Fellow, IEEE, and Anindya Roy
- Estimation of Scale (Σ) and Shape (Θ) Parameters of Type I Generalized Half Logistic Distribution Using Median Ranks Method