On the Lagrange gamma distribution

Felix Famoye; Z. Govindarajulu

doi:10.1016/S0167-9473(98)00018-8

On the Lagrange gamma distribution

Felix Famoye, Z. Govindarajulu

Statistics, Actuarial & Data Sciences

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Statistical inference on the Lagrange gamma distribution is considered in this paper. The method of moments, the maximum-likelihood estimation technique, and the estimation of the scale parameter by order statistics are discussed. A linear rank test statistic is proposed for the distribution. A numerical example on the application of the Lagrange gamma distribution is given. In the numerical example, the Lagrange gamma distribution provided a better fit than the gamma distribution.

Original language	English
Pages (from-to)	421-431
Number of pages	11
Journal	Computational Statistics and Data Analysis
Volume	27
Issue number	4
DOIs	https://doi.org/10.1016/S0167-9473(98)00018-8
State	Published - Jun 5 1998

Access to Document

10.1016/S0167-9473(98)00018-8

Cite this

@article{da994b8fb6e3434c8b0e5c1e4e7218af,

title = "On the Lagrange gamma distribution",

abstract = "Statistical inference on the Lagrange gamma distribution is considered in this paper. The method of moments, the maximum-likelihood estimation technique, and the estimation of the scale parameter by order statistics are discussed. A linear rank test statistic is proposed for the distribution. A numerical example on the application of the Lagrange gamma distribution is given. In the numerical example, the Lagrange gamma distribution provided a better fit than the gamma distribution.",

author = "Felix Famoye and Z. Govindarajulu",

year = "1998",

month = jun,

day = "5",

doi = "10.1016/S0167-9473(98)00018-8",

language = "English",

volume = "27",

pages = "421--431",

journal = "Computational Statistics and Data Analysis",

issn = "0167-9473",

publisher = "Computational Statistics and Data Analysis",

number = "4",

}

TY - JOUR

T1 - On the Lagrange gamma distribution

AU - Famoye, Felix

AU - Govindarajulu, Z.

PY - 1998/6/5

Y1 - 1998/6/5

N2 - Statistical inference on the Lagrange gamma distribution is considered in this paper. The method of moments, the maximum-likelihood estimation technique, and the estimation of the scale parameter by order statistics are discussed. A linear rank test statistic is proposed for the distribution. A numerical example on the application of the Lagrange gamma distribution is given. In the numerical example, the Lagrange gamma distribution provided a better fit than the gamma distribution.

AB - Statistical inference on the Lagrange gamma distribution is considered in this paper. The method of moments, the maximum-likelihood estimation technique, and the estimation of the scale parameter by order statistics are discussed. A linear rank test statistic is proposed for the distribution. A numerical example on the application of the Lagrange gamma distribution is given. In the numerical example, the Lagrange gamma distribution provided a better fit than the gamma distribution.

UR - http://www.scopus.com/inward/record.url?scp=0032486072&partnerID=8YFLogxK

U2 - 10.1016/S0167-9473(98)00018-8

DO - 10.1016/S0167-9473(98)00018-8

M3 - Article

AN - SCOPUS:0032486072

SN - 0167-9473

VL - 27

SP - 421

EP - 431

JO - Computational Statistics and Data Analysis

JF - Computational Statistics and Data Analysis

IS - 4

ER -

On the Lagrange gamma distribution

Abstract

Access to Document

Other files and links

Fingerprint

Cite this