Inference for a truncated positive normal distribution

被引：0

作者：

Héctor J.Gómez ^{[1
]}

Neveka M.Olmos ^{[2
]}

Héctor Varela ^{[2
]}

Heleno Bolfarine ^{[3
]}

机构：

[1] Departamento de Ciencias Matemáticas y Físicas, Facultad de Ingeniería, Universidad Católica de Temuco

[2] Departamento de Matemáticas, Facultad de Ciencias Básicas, Universidad de Antofagasta

[3] Departamento de Estatística, IME, Universidade de So Paulo

来源：

Applied Mathematics:A Journal of Chinese Universities | 2018年 / 33卷 / 02期

基金：

巴西圣保罗研究基金会;

关键词：

half-normal distribution; maximum likelihood; truncation;

D O I：

暂无

中图分类号：

O211 [概率论（几率论、或然率论）];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The main object of this paper is to study an extension of the half normal distribution defined by adding a positive truncation to it. The new model is more flexible than the half-normal distribution and contains the half normal distribution as a special case. Properties of this distribution, such as moments, hazard function and entropy are studied and parameters estimation is dealt with by using moments and maximum likelihood. A real data application indicates good fit performance of the new model when compared to other competitors in literatures.

引用

页码：163 / 176

页数：14

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