Certain approximations to achieve sharp lower and upper bounds for the Mills' ratio of the inverse Gaussian distribution

被引：4

作者：

Lu, Dawei ^{[1
,2
]}

机构：

[1] Dalian Univ Technol, Sch Math Sci, Dalian 116023, Peoples R China

[2] Chinese Univ Hong Kong, Dept Stat, Shatin, Hong Kong, Peoples R China

来源：

JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS | 2016年 / 444卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Inverse Gaussian distribution; Completely monotonic functions; Inequality; Lower and upper bounds;

D O I：

10.1016/j.jmaa.2016.06.059

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this note, we prove new complete monotonicity properties of some functions associated with the inverse Gaussian distribution. Based on these properties, we present some lower and upper bounds with explicit expressions for the Mills' ratio of the inverse Gaussian distribution. Finally, for demonstrating the efficiency of our estimates, some numerical computations are provided. (C) 2016 Elsevier Inc. All rights reserved.

引用

页码：737 / 744

页数：8

共 10 条

[1] ESTIMATION OF INVERSE GAUSSIAN DISTRIBUTION FUNCTION [J].