The Length–Biased Weibull–Rayleigh Distribution for Application to Hydrological Data

被引：0

作者：

Tanachot Chaito

Manad Khamkong

机构：

[1] Ph. D. Program in Applied Statistics,

[2] Department of Statistics,undefined

[3] Faculty of Science,undefined

[4] Chiang Mai University,undefined

[5] Data Science Research Center,undefined

[6] Department of Statistics,undefined

[7] Faculty of Science,undefined

[8] Chiang Mai University,undefined

来源：

Lobachevskii Journal of Mathematics | 2021年 / 42卷

关键词：

length–biased; Weibull–Rayleigh distribution; maximum likelihood estimation; hydrological data;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：3253 / 3265

页数：12

共 48 条

[1]

Hussain T.(2019)A new probability model with application to heavy-tailed hydrological data Environ. Ecol. Stat. 26 127-151

[2]

Bakouch H. S.(2019)The Harris extended Lindley distribution for modeling hydrological data Chilean J. Stat. 10 77-94

[3]

Chesneau C.(2008)The beta-Pareto distribution data Statistics 42 547-563

[4]

Cordeiro G.(2018)A new probability model for hydrologic events: Properties and applications J. Agric. Biol. Environ. Stat. 26 63-82

[5]

Mansoor M.(2013)Weibull-Pareto distribution and its applications Commun. Stat. Theory Methods 42 1673-1691

[6]

Provost S.(2014)Gumbel-Weibull distribution: Properties and applications J. Mod. Appl. Stat. Methods 13 201-225

[7]

Akinsete A.(2015)The Weibull-Exponential distribution: Its properties and applications J. Appl. Sci. 15 1305-1311

[8]

Famoye F.(2016)The Weibull Frechet distribution and its applications J. Appl. Stat. 43 2608-2626

[9]

Lee C.(2015)The Weibull Rayleigh distribution, some properties, and applications J. Math. Sci. 218 269-277

[10]

Hussain T.(1934)The effect of methods of ascertainment upon the estimation of frequencies Ann. Eugen. 6 13-25