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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.
Computing the Distribution Function of a Conditional Expectation via Monte Carlo: Discrete Conditioning Spaces
Probability algorithms distribution functions conditional expectation
2015/7/8
We examine different ways of numerically computing the distribution function of conditional expectations where the conditioning element takes values in a finite or countably infinite outcome space. Bo...
BI-DIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTION (BRDF) RETRIEVALS FROM LABORATORY MULTIANGLE MEASUREMENTS
Bi-Directional Reflectance Distribution Function multiangle observation hyperspectral instrument data processing parameter retrievals
2015/5/29
Theoretical investigations and intense experimental activity have being devoted to study the geometricalproperties of reflection from a surface, that is expressed in terms of Bi-Directional Reflectanc...
Fourier methods for smooth distribution function estimation
Fourier analysis kernel distribution estimation mean integrated squared error optimal bandwidth sinc kernel
2013/6/14
In this paper we show how to use Fourier transform methods to analyze the asymptotic behavior of kernel distribution function estimators. Exact expressions for the mean integrated squared error in ter...
Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data
Bivariate current status data constrained maximum likelihood estimation empirical process sieve maximum likelihood estimation tensor spline basis functions
2012/11/23
The analysis of the joint cumulative distribution function (CDF) with bivariate event time data is a challenging problem both theoretically and numerically. This paper develops a tensor spline-based s...
Explicit Bounds for the Distribution Function of the Sum of Dependent Normally Distributed Random Variables
Explicit Bounds Dependent Normally Distributed Random Variables Distribution Function of the Sum
2011/9/19
Abstract: In this paper an analytic expression is given for the bounds of the distribution function of the sum of dependent normally distributed random variables. Using the theory of copulas and the i...
Introducing empirical and probabilistic regional envelope curves into a mixed bounded distribution function
Introducing empirical probabilistic regional envelope curves distribution function
2010/12/22
A novel approach to consider additional spatial information in flood frequency analyses, especially for the estimation of discharges with recurrence intervals larger than 100 years, is presented. For ...
We introduce a variant of the replica trick within the nonlinear sigma model that allows calculating the distribution function of the persistent current. In the diffusive regime, a Gaussian distributi...
Parton Distribution Function sensitivity studies using electroweak processes at LHCb
Parton Distribution Function sensitivity studies electroweak processes
2011/1/4
We describe parton density function sensitivity studies, using muon final states produced through the Drell-Yan process viaW, Z or g down to a Q2 of 10 GeV2. This makes use of LHCb’s unique ability t...
The robustness of the galaxy distribution function to effects of merging and evolution
galaxies statistics cosmology theory large-scale structure of universe
2010/11/9
We examine the evolution of the spatial counts-in-cells distribution of galaxies and
show that the form of the galaxy distribution function does not change significantly as
galaxies merge and evolve...
Rubio de Francia's extrapolation theory: estimates for the distribution function
Rubio de Francia's extrapolation theory the distribution function
2010/11/15
Let $T$ be an arbitrary operator bounded from $L^{p_0}(w)$ into $L^{p_0, \infty}(w)$ for every weight $w$ in the Muckenhoupt class $A_{p_0}$. It is proved in this article that the distribution functi...
The uncertainty measure for q-exponential distribution function
q-exponential distribution VarEntropy method MaxEnt nonextensive entropy
2010/11/30
Based on the q-exponential distribution which has been observed in more and more physical systems, the varentropy method is used to derive the uncertainty measure of such an abnormal distribution func...
High-accuracy measurements of snow Bidirectional Reflectance Distribution Function at visible and NIR wavelengths——comparison with modelling results
High-accuracy measurements snow Bidirectional Reflectance Distribution Function NIR wavelengths
2010/3/16
High-accuracy measurements of snow Bidirectional Reflectance Distribution Function (BRDF) were performed for four natural snow samples with a spectrogonio-radiometer in the 500–2600 nm wavelength rang...
Nonparametric estimation of the distribution function in contingent valuation models
binary choice regression Dirichlet process latent variable mixture model variable selection
2009/9/24
Contingent valuation models are used in Economics to value nonmarket goods and can be expressed as binary choice regression models with one of the regression coe?cients fixed. A ...
Bahadur's representation of sample quantiles based on smoothed estimates of a distribution function
Bahadur's representation of sample quantiles smoothed estimates of a distribution function
2009/9/24
Bahadur's representation of sample quantiles based on smoothed estimates of a distribution function。