A Note on the Accuracy of Normal Approximation of Random Quantities

Author:

Ahmad Ibrahim A.1,Mugdadi A. R.2

Affiliation:

1. Department of Statistics, Oklahoma State University, Stillwater, OK, USA.

2. Department of Mathematics and Natural Sciences, Higher Colleges of Technology, Abu Dhabi, United Arab Emirates.

Abstract

For a sequence of independent, identically distributed random variable (iid rv's) [Formula: see text] and a sequence of integer-valued random variables [Formula: see text], define the random quantiles as [Formula: see text], where [Formula: see text] denote the largest integer less than or equal to [Formula: see text], and [Formula: see text] the [Formula: see text]th order statistic in a sample [Formula: see text] and [Formula: see text]. In this note, the limiting distribution and its exact order approximation are obtained for [Formula: see text]. The limiting distribution result we obtain extends the work of several including Wretman[Formula: see text]. The exact order of normal approximation generalizes the fixed sample size results of Reiss[Formula: see text]. AMS 2000 subject classification: 60F12; 60F05; 62G30.

Publisher

SAGE Publications

Subject

General Medicine

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