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Dive into the research topics where Sheldon M. Ross is active.

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Featured researches published by Sheldon M. Ross.


Journal of Applied Probability | 1981

A Random Graph.

Sheldon M. Ross

Abstract : Let X(1),X(2), ..., X(n) be independent random variables such that P(X(i) = j) = P sub j , j = 1,2, ..., n, sum from j = 1 to n of P sub j = 1 and consider a graph with n nodes numbered 1,2, ..., n and the arcs (i,X(i)), i = 1,2, ..., n. We determine the probability that the above so-called random graph is connected and then develop a recursive formula for the distribution of C, the number of connected components it contains. We also derive expressions for the mean and variance of C. (Author)


IEEE Transactions on Reliability | 1982

On the Consecutive-k-of-n:F System

Cyrus Derman; Gerald J. Lieberman; Sheldon M. Ross

The linear (circular) k-of-n:F system has n linearly (circularly) ordered components. Each component either functions or fails. The system fails i.f.f.k consecutive components fail. This paper provides, in the i.i.d. case, recursive formulas and bounds for computing system reliability. It considers properties of system life distributions and, in the non i.i.d. case, questions of optimal system design.


SIAM Journal on Computing | 2000

An Optimal Algorithm for Monte Carlo Estimation

Paul Dagum; Richard M. Karp; Michael Luby; Sheldon M. Ross

A typical approach to estimate an unknown quantity


Journal of Applied Probability | 1978

Approximations in Finite Capacity Multi-Server Queues with Poisson Arrivals

Shirley A Nozaki; Sheldon M. Ross

\mu


Journal of Applied Probability | 1978

Average delay in queues with non-stationary Poisson arrivals

Sheldon M. Ross

is to design an experiment that produces a random variable Z, distributed in [0,1] with E[Z]=\mu


IEEE Transactions on Software Engineering | 1985

Software Reliability: The Stopping Rule Problem

Sheldon M. Ross

, run this experiment independently a number of times, and use the average of the outcomes as the estimate. In this paper, we consider the case when no a priori information about Z is known except that is distributed in [0,1]. We describe an approximation algorithm


Journal of Applied Probability | 1970

AVERAGE COST SEMI-MARKOV DECISION PROCESSES

Sheldon M. Ross

{\cal A}{\cal A}


Journal of Applied Probability | 1974

Bounds on the Delay Distribution in GI/G/1 Queues

Sheldon M. Ross

which, given


The American Statistician | 1997

Statistical Aspects of Quality Control

Enrique Castillo; Cyrus Derman; Sheldon M. Ross

\epsilon


Siam Journal on Applied Mathematics | 1971

The Streetwalker’s Dilemma: A Job Shop Model

Sheldon M. Ross

and

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Mark Brown

City University of New York

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Ilan Adler

University of California

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Kyle Y. Lin

Naval Postgraduate School

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Samim Ghamami

United States Department of the Treasury

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Babak Haji

University of Southern California

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