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globalchange > 过去全球变化的重建

DOI:	10.1371/journal.pone.0156537
论文题名:	Gendist: An R Package for Generated Probability Distribution Models
作者:	Shaiful Anuar Abu Bakar; Saralees Nadarajah; Zahrul Azmir ABSL Kamarul Adzhar; Ibrahim Mohamed
刊名:	PLOS ONE
ISSN:	1932-6203
出版年:	2016
发表日期:	2016-6-7
卷:	11, 期:6
语种:	英语
英文关键词:	Statistical distributions ; Real numbers ; Probability distribution ; Normal distribution ; Insurance ; Distribution curves ; Rivers ; Simulation and modeling
英文摘要:	In this paper, we introduce the R package gendist that computes the probability density function, the cumulative distribution function, the quantile function and generates random values for several generated probability distribution models including the mixture model, the composite model, the folded model, the skewed symmetric model and the arc tan model. These models are extensively used in the literature and the R functions provided here are flexible enough to accommodate various univariate distributions found in other R packages. We also show its applications in graphing, estimation, simulation and risk measurements.
URL:	http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0156537&type=printable
Citation statistics:
资源类型:	期刊论文
标识符:	http://119.78.100.158/handle/2HF3EXSE/25351
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

Files in This Item:

File Name/ File Size	Content Type	Version	Access	License
journal.pone.0156537.PDF（1148KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	View Download

作者单位:

Institute of Mathematical Sciences, University of Malaya, Kuala Lumpur, Malaysia;School of Mathematics, University of Manchester, Manchester, United Kingdom;Institute of Mathematical Sciences, University of Malaya, Kuala Lumpur, Malaysia;Institute of Mathematical Sciences, University of Malaya, Kuala Lumpur, Malaysia

Recommended Citation:

Shaiful Anuar Abu Bakar,Saralees Nadarajah,Zahrul Azmir ABSL Kamarul Adzhar,et al. Gendist: An R Package for Generated Probability Distribution Models[J]. PLOS ONE,2016-01-01,11(6)

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