random variable
Random variable inequalities involving (k,s)-integration
... variance functions of continuous random variables. Recently, A. Akkurt et al. [1] proposed new generalizations of the re- sults in [3]. Very recently, Z. Dahmani [4, 6] presented new fractional integral results ...
6
Crowdsourced Sampling of a Composite Random Variable: Analysis, Simulation, and Experimental Test
... discrete random variable (RV), or probability density function (PDF) for a continuous RV, or cumulative distribution function (CDF) for either kind of ...
36
Forbidden zones for the expectation of a random variable New version 1
... In particular, if a noise leads to a non-zero minimal variance σ2Min : σ2 > σ2Min > 0 of a random variable, then the theorem predicts the forbidden zones having the width rNoise that is [r] ...
35
Newsboy single period inventory model with fuzzy random variable demand and deterioration
... This paper presents a single-period Newsboy inventory problem in an imprecise and uncertain mixed environment with deterioration. The aim of this paper is to introduce demand of Newsboy as a fuzzy random ...
9
Moment Estimation Inequalities Based on Random Variable on Sugeno Measure Space
... In 1974, the Japanese scholar Sugeno 1 presented a kind of typical nonadditive measure, Sugeno measure, which is an important generalization of probability measure 2–6. As we all know, the definitions and properties of ...
10
Further Inequalities for the Expectation and Variance of a Random Variable Defined on a Finite Interval
... DRAGOMIR, New estimation of the remainder in Taylor’s formula using Gr¨ uss’ type inequalities and applications, Math.. DRAGOMIR, A generalization of Gr¨ uss’ inequality in inner product[r] ...
13
BUCKLING PROPOGATION IN CORRODED PIPE LINES CONSIDERING THICKNESS AS A RANDOM VARIABLE
... Propagation pressure for offshore intact and corroded pipelines is calculated by Rigid Plastic Analysis based on average thickness and using thickness variation. For generating thickness it is assumed that the thickness ...
10
Distributions of products involving the type II Bessel function random variable
... The distribution of product of independent random variables (r.v.s) is of inter- est in many areas of science and econometrics. The distribution of product of in- dependent r.v.s X and Y has been studied by ...
19
Forbidden zones and biases for the expectation of a random variable Version 2
... The specific qualitative mathematical model is intended for the practical analysis of the above problems in the specific case when the expectations of the data for the probable and sure [r] ...
56
MSE604_Ch.12-Probabilistic_Risk_Analysis.ppt
... • Based on the probability of different outcomes for each random variable, a particular value is randomly generated.. • The numbers generated for all random variables constitute.[r] ...
44
Quantifying Synergistic Information
... Given random variables X and Y , we define X g Y (called the join of X and Y ) to be an informationally poorest (“smallest” in the sense of the partial order ) random variable such that X X g Y and Y ...
102
The improvement of contrast sensitivity with practice is not compatible with a sensory threshold account
... 10 N Random variable representing the signal arising from each relevant micro-analyzer associated with a non-target §2D S Random variable representing the signal arising from each releva[r] ...
12
Probability Distributions.ppt
... • A continuous random variable is a variable that can assume any value on a continuum (can assume an uncountable number of values). – thickness of an item[r] ...
46
On a pair of random generalized non linear contractions
... Complete probability measure space, Banach spaces, -algebras, Borel subsets, random variable, random operator, separable Banach space, random generalized nonlinear ntraion, upper semicon[r] ...
9
A probabilistic model of the economic risk to Britain’s railway network from bridge scour during floods
... NOMENCLATURE Y random variable describing uncertain loading condition, y, in fragility analysis gY y, GY y pdf and cdf of load variable FY y fragility function s state variable describin[r] ...
22
On Complex Random Variables
... complex random variable Z is a measurable function defined on a probability measure space taking values in the field of complex ...complex random variable Z , defined in this unique way, is ...
10
Vol 2, No 12 (2011)
... random variable. The numbers of exits at each period time are i.i.d random variables and that the threshold level is a random variable following Generalized Rayleigh ...
5
RandomVariables.pdf
... 1) Choose an American suburban household at random and let the random variable X be the number of cars that people in the house own. Find the number of cars owned by the average sub[r] ...
14
Simulating events of unknown probabilities via reverse time martingales
... We illustrate our results with examples. First, in Section 3, we offer a statistical understanding of the Nacu-Peres algorithm that uses upper and lower polynomial envelopes for f to simulate an f (p)−coin (e.g. for f ...
12
Random Crank Nicolson Scheme for Random Heat Equation in Mean Square Sense
... The random heat equation can be solved numerically by using mean square convergent Crank-Nicolson ...The random variable in the Crank-Nicolson scheme is must second order random ...
8