Results 201 to 210 of about 355,518 (271)

Asymptotic Distribution of the Sum of Skew-Normal Random Variables: Application in Data Envelopment Analysis

Iranian Journal of Science and Technology, Transactions A: Science, 2017
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Nazari, Ali, Behzadi, Mohammad Hassan
semanticscholar   +3 more sources

Exact Distributions of the Sum of Two Standard Bivariate Normal Dependent Random Variables

2010 4th International Conference on Bioinformatics and Biomedical Engineering, 2010
The distribution of has been studied by several authors especially when and are independent random variables and come from the same family. However, there is relatively little work of this kind when and are correlated random variables. Based on this consideration, in this paper, we takes bivariate standard normal distribution which is widely applied in
Yun-fei Guo, Zhe Yin
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Approximation of distributions of sums of weakly dependent random variables by the normal distribution

Lithuanian Mathematical Journal, 1988
Let \(C^ 2\) be the collection of all real-valued functions defined on the real line R, which possess bounded continuous derivatives of the second order. For \(h\in C^ 2\), put \(\| h\|_ 2=\| h\| +\| h'\| +\| h''\|\), where \(\| h\| =\sup_{x\in R}| h(x)|.\) For an arbitrarily given natural integer n let \(X_ 1,...,X_ n\) be real-valued random variables
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Narrow Zones of Normal Convergence for Sums of Non-Identically Distributed Random Variables

Theory of Probability & Its Applications, 1985
For the independent random variables \(X_ 1,X_ 2,...\), \(EX_ i=0\), \(EX^ 2_ i=\sigma^ 2_ ...
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Asymptotic and Bootstrap Confidence Intervals for the Process Capability Index cpy Based on Lindley Distributed Quality Characteristic

American Journal of Mathematical and Management Sciences, 2019
SYNOPTIC ABSTRACT Process capability indices (PCIs) have been widely applied in measuring product potential and performance. It is of great significance to quality control engineers, as it quantifies the relation between the actual performance of the ...
Mahendra Saha, Sumit Kumar, Sudhansu S. Maiti, Abhimanyu Singh Yadav, S. Dey   +4 more
semanticscholar   +1 more source

Real Zeros of Random Cosine Polynomials with Palindromic Blocks of Coefficients

Analysis Mathematica, 2019
It is well known that a random cosine polynomial Vn(x)=∑j=0najcos(jx)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek ...
A. Pirhadi
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On the asymptotic joint distribution of the sum and maximum of stationary normal random variables

Journal of Applied Probability, 1996
Let X 1, X 2, ·· ·be stationary normal random variables with ρn = cov(X 0, Xn ). The asymptotic joint distribution of and is derived under the condition ρn log n → γ [0,∞). It is seen that the two statistics are asymptotically independent only
Ho, Hwai-Chung, Hsing, Tailen
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Large deviations for some normalized sums of exponentially distributed random variables [PDF]

, 2012
Summary: We prove large deviation results for sequences of normalized sums which are defined in terms of triangular arrays of exponentially distributed random variables. We also present some examples: one of them might have applications in reliability theory because it concerns the spacings of i.i.d.
GIULIANO, RITA, Macci C.
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New Behavior in Legal Decompositions Arising from Non-Positive Linear Recurrences

The Fibonacci quarterly, 2016
Zeckendorf's theorem states every positive integer has a unique decomposition as a sum of non-adjacent Fibonacci numbers. This result has been generalized to many sequences $\{a_n\}$ arising from an integer positive linear recurrence, each of which has a
M. Catral, Pari L. Ford, P. Harris, Steven J. Miller, Dawn Nelson, Zhao Pan, Huanzhong Xu   +6 more
semanticscholar   +1 more source

What Everyone Should Know: About Univariate Normality and Bivariate Normality, and How They are Co-Related with Correlation and Independence

, 2020
I have collected together 10 results concerning marginal distributions, joint distributions, univariate normality, bivariate normality, correlation and independence. Some of these results are well known, but some are relatively unknown. My experience has
T. Crack
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