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昆明理工大学理学院概率论与数理统计课件Chapter 8 Hypothesis Testing--Tests Concerning Variance
昆明理工大学理学院 概率论与数理统计 课件 Chapter 8 Hypothesis Testing Tests Concerning Variance
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 8 Hypothesis Testing--Tests Concerning Variance.
昆明理工大学理学院概率论与数理统计课件Chapter 4 The Expectation and Variance--Covariance&Correlation
昆明理工大学理学院 概率论与数理统计 课件 Chapter 4 The Expectation and Variance Covariance&Correlation
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 4 The Expectation and Variance--Covariance&Correlation.
昆明理工大学理学院概率论与数理统计课件Chapter 4 The Expectation and Variance--Some Important Expectations&Variance
昆明理工大学理学院 概率论与数理统计 课件 Chapter 4 The Expectation and Variance Some Important Expectations&Variance
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 4 The Expectation and Variance--Some Important Expectations&Variance.
昆明理工大学理学院概率论与数理统计课件Chapter 4 The Expectation and Variance--The variance of random variables
昆明理工大学理学院 概率论与数理统计 课件 Chapter 4 The Expectation and Variance The variance of random variables
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 4 The Expectation and Variance--The variance of random variables.
昆明理工大学理学院概率论与数理统计课件Chapter 4 The Expectation and Variance--Expectations of random variables
昆明理工大学理学院 概率论与数理统计 课件 Chapter 4 The Expectation and Variance Expectations of random variables
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 4 The Expectation and Variance--Expectations of random variables.
Estimation of Variance and Its Properties in Measurement Error Model
Measurement error model independence unbiased estimator non-negative estimator.
2011/11/11
This paper introduces variance estimators of Y in measurement error model X=Y+E with known Var(E). An unbiased estimator and an adjust non-negative estimator of Var(Y) are given. Meanwhile, some prope...
Lossless Linear Compression of Data with Minimal Dimension in Linear Minimum Variance Estimation
LMV estimation lossless compression linear transformation singular value
2011/11/11
Consider a Linear Minimum Variance (LMV) estimation problem where the linear transformation of data is needed to compress dimension of observation data without loss of performance. A necessary and su±...
A simple variance inequality for U-statistics of a Markov chain with applications
U-statistics Markov chains Inequalities Limit theorems Law of large numbers
2011/9/5
Abstract: We establish a simple variance inequality for U-statistics whose underlying sequence of random variables is an ergodic Markov Chain. The constants in this inequality are explicit and depend ...
Challenging the empirical mean and empirical variance: a deviation study
Non-parametric estimation M-estimators PAC-Bayes bounds
2010/12/3
We present new M-estimators of the mean and variance of real valued random variables, based on PAC-Bayes bounds. We analyze the non-asymptotic minimax properties of the deviations of those estimators ...
We consider the pricing of derivatives written on the discrete realized variance of an underlying security. In the literature, the realized variance is usually approximated by its continuous-time limi...