BINOMIAL APPROXIMATION FOR RANDOM SUMS OF BERNOULLI RANDOM VARIABLES

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Poisson Approximation for Sums of Dependent Bernoulli Random Variables

In this paper, we use the Stein-Chen method to determine a non-uniform bound for approximating the distribution of sums of dependent Bernoulli random variables by Poisson distribution. We give two formulas of non-uniform bounds and their applications.

متن کامل

Strong Laws for Weighted Sums of Negative Dependent Random Variables

In this paper, we discuss strong laws for weighted sums of pairwise negatively dependent random variables. The results on i.i.d case of Soo Hak Sung [9] are generalized and extended.

متن کامل

On the Complete Convergence ofWeighted Sums for Dependent Random Variables

We study the limiting behavior of weighted sums for negatively associated (NA) random variables. We extend results in Wu (1999) and a theorem in Chow and Lai (1973) for NA random variables.

متن کامل

Symmetric and Centered Binomial Approximation of Sums of Locally Dependent Random Variables

Stein’s method is used to approximate sums of discrete and locally dependent random variables by a centered and symmetric Binomial distribution. Under appropriate smoothness properties of the summands, the same order of accuracy as in the Berry-Essen Theorem is achieved. The approximation of the total number of points of a point processes is also considered. The results are applied to the excee...

متن کامل

Cauchy Approximation for Sums of Independent Random Variables

We use Stein's method to find a bound for Cauchy approximation. The random variables which are considered need to be independent.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Pure and Apllied Mathematics

سال: 2014

ISSN: 1311-8080,1314-3395

DOI: 10.12732/ijpam.v94i5.7