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中山大学岭南学院高级计量经济学课件（I）CH4 Large Sample Distribution Theory and Large Sample Properties of the Classical Regression Model
中山大学岭南学院 高级计量经济学 课件（I） CH4 Large Sample Distribution Theory and Large Sample Properties of the Classical Regression Model
2017/6/14
中山大学岭南学院高级计量经济学课件（I）CH4 Large Sample Distribution Theory and Large Sample Properties of the Classical Regression Model。
昆明理工大学理学院概率论与数理统计课件Chapter 3 Multionariate Random Variables--Distribution of special functions
昆明理工大学理学院 概率论与数理统计 课件 Chapter 3 Multionariate Random Variables Distribution of special functions
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 3 Multionariate Random Variables--Distribution of special functions.
昆明理工大学理学院概率论与数理统计课件Chapter 3 Multionariate Random Variables--Two particular multivariate distribution
昆明理工大学理学院 概率论与数理统计 课件 Chapter 3 Multionariate Random Variables Two particular multivariate distribution
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 3 Multionariate Random Variables--Two particular multivariate distribution.
昆明理工大学理学院概率论与数理统计课件Chapter 3 Multionariate Random Variables--Cumulative distribution function
昆明理工大学理学院 概率论与数理统计 课件 Chapter 3 Multionariate Random Variables Cumulative distribution function
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 3 Multionariate Random Variables--Cumulative distribution function.
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Cumulative Distribution Functions
昆明理工大学理学院 概率论与数理统计 课件 Chapter 2 Random variables and their distributions Cumulative Distribution Functions
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Cumulative Distribution Functions.
Weighted Estimation of the Dependence Function for an Extreme-Value Distribution
Bivariate extreme dependence function jackknife empirical likeli- hood method
2016/1/19
Bivariate extreme-value distributions have been employed in modeling extremes in environmental sciences and risk management. An important issue is to estimate the dependence function such as Pickands ...
Default Bayesian Analysis for the Multivariate Ewens Distribution
Bayesian Analysis Multivariate Ewens Distribution
2012/11/22
We derive the Jeffreys prior for the parameter of the Multivariate Ewens Distribution and study some of its properties. In particular, we show that this prior is proper and has no finite moments. We a...
A universal approximate cross-validation criterion and its asymptotic distribution
AIC cross entropy crossvalidation estimator choice Kullback-Leibler risk model selection ordered categorical observations psychometric tests
2012/6/29
A general framework is that the estimators of a distribution are obtained by minimizing a function (the estimating function) and they are assessed through another function (the assessment function). T...
Comments on "Confidence distribution, the frequentist distribution estimator of a parameter --- a review" by Min-ge Xie and Kesar Singh
the frequentist distribution estimator parameter Min-ge Xie Kesar Singh Statistics Theory
2012/6/29
This note is a discussion of the paper "Confidence distribution" by Min-ge Xie and Kesar Singh, to appear in the International Statistical Review.
Extremal Distribution for the Discrete 5-convex Stochastic Ordering and Applications
s-convex order moment space extremal distribution branching process Lundberg's coeffici
2011/11/9
In this paper, motivated by the idea from Courtois and Denuit et al.(2006), we derive extremal distribution for the discrete 5-convex stochastic ordering. As applications,We improve lower and upper bo...
Gaussian new-distribution of the again understanding
Gaussian distribution Gaussian new-distribution normal distribution skewed distribution expected value expected deviation
2011/11/9
Gaussian new-distribution is based at the Gaussian distribution of the on a principle based of a new form. Breaking the Gaussian distribution can not describe of the asymmetric distribution. The accur...
Nonparametric test for detecting change in distribution with panel data
nonparametric estimation panel data process
2011/6/15
This paper considers the problem of comparing two processes with
panel data. A nonparametric test is proposed for detecting a monotone
change in the link between the two process distributions. The t...
Computationally Efficient Modulation Level Classification Based on Probability Distribution Distance Functions
Computationally Efficient Modulation Level Classification Probability Distribution Distance
2011/1/4
We present a novel modulation level classification (MLC) method based on probability distribution distance functions. The proposed method uses modified Kuiper and Kolmogorov- Smirnov (KS) distances to...
This paper is concerned with the study of a circular random distribution called geodesic Normal distribution recently proposed for general manifolds. This distribution, parameterized by two real numbe...
Time-Evolution of a Fractal Distribution: Particle Concentrations in Free-Surface Turbulence
Fluid Dynamics (physics.flu-dyn) Chaotic Dynamics (nlin.CD)
2010/11/11
Steady-state turbulence is generated in a tank of water and the trajectories of particles forming a compressible system on the surface are tracked in time. The initial uniformly distributed floating p...