Joint Probability Density Function of Selected Order Statistics and the Sum of the Remainder as Applied to Arbitrary Independent Random Variables

doi 10.21236/ada419339
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Defense Technical Information Center

Related search

An Estimate of the Probability Density Function of the Sum of a Random NumberNof Independent Random Variables

Journal of Computational Engineering
2015English

Calculation of Referenced Strength by Joint Probability Density Function of Non-Normal Random Variables

Journal of Structural and Construction Engineering
BuildingConstructionArchitecture
2007English

The Sum of Two Independent Exponential-Type Random Variables

Pacific Journal of Mathematics
Mathematics
1966English

On the Maximum Partial Sum of Independent Random Variables

Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
1947English

On the Characteristic Function of a Sum ofM-dependent Random Variables

International Journal of Mathematics and Mathematical Sciences
Mathematics
1986English

Bounds of the Normal Approximation to Random-Sum Wilcoxon Statistics

ScienceAsia
Multidisciplinary
2014English

Law of the Sum of Bernoulli Random Variables

Теория вероятностей и ее применения
2010English

Joint Independent Subspace Analysis Using Second-Order Statistics

IEEE Transactions on Signal Processing
Electronic EngineeringSignal ProcessingElectrical
2016English

The Exact Approximation Order of the Random Maximum of Cumulative Sums of Independent Variables

Sequential Analysis
ModelingStatisticsProbabilitySimulation
1993English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy