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114.141  Articles
1 of 11.415 pages  |  10  records  |  more records»
Random intersection graphs are models of random graphs in which each vertex is assigned a subset of objects independently and two vertices are adjacent if their assigned subsets are adjacent. Let nn and m=[ßna]m=[\beta n^{\alpha}] denote the number of ver... see more

Random intersection graphs are models of random graphs in which each vertex is assigned a subset of objects independently and two vertices are adjacent if their assigned subsets are adjacent. Let nn and m=[ßna]m=[\beta n^{\alpha}] denote the number of ver... see more

In this paper, we study the Hermite spatial variations for the solution to thestochastic heat equation with space-time white noise. We prove that these variations satisfy a central limit theorem and we obtain almost sure central limit theorem.

In this work we study a law of large numbers and a functional central limit theorem for the number os subgraphs of given size in a random graph which evolves with the lime. Our motivation comes from the study of reliability measures in communications netw... see more

It is very important to determine the proper or accurate sample size in any field of research. Sometimes researchers cannot take the decision that how many numbers of individuals or objects will they select for their study purpose. Also, a set of survey d... see more

Using Microsoft Excel, several interactive, computerized learning modules are developed to demonstrate the Central Limit Theorem. These modules are used in the classroom to enhance the comprehension of this theorem. The Central Limit Theorem is a very imp... see more

We introduce sufficiently wide classes of non--linear functionals preserving normal (Gaussian) distribution and establish various conditions under which a sequence of such functionals is asymptotically normal. As one of a consequence we obtain a generaliz... see more

We study the construction of a version of standard Brownian sheet called h -generalized standardBrownian sheet. It is shown by means of Lindeberg’s theorem that it is a limit process of a sequence ofpartial sums processes of independent random variables i... see more

J M Keynes was an acknowledged, world renown, and internationally recognized expert in probability and statistics in the 1930’s based on his A Treatise on Probability (1921). . Keynes had been selected by statistics journals to serve as a referee during t... see more

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