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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Yazd University</PublisherName>
				<JournalTitle>Journal of Statistical Modelling: Theory and Applications</JournalTitle>
				<Issn>2676-7392</Issn>
				<Volume>1</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2020</Year>
					<Month>07</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>On some properties of transmuted Weibull distribution</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>115</FirstPage>
			<LastPage>130</LastPage>
			<ELocationID EIdType="pii">1903</ELocationID>
			
<ELocationID EIdType="doi">10.22034/jsmta.2020.1903</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Seyed Mohsen</FirstName>
					<LastName>Mirhosseini</LastName>
<Affiliation>Department of Statistics‎, ‎Faculty of‎ ‎Mathematics‎, ‎Yazd University‎, ‎Yazd‎, ‎Iran</Affiliation>

</Author>
<Author>
					<FirstName>Reihaneh</FirstName>
					<LastName>Lalehzari</LastName>
<Affiliation>Department of Statistics‎, ‎Faculty of‎ ‎Mathematics‎, ‎Yazd University‎, ‎Yazd‎, ‎Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>03</Month>
					<Day>14</Day>
				</PubDate>
			</History>
		<Abstract>A new generalized version of the Weibull distribution, which is called the perturbed Weibull distribution, is introduced in this paper. The present distribution provide enough flexibility for analyzing different types of data with increasing, decreasing, constant, bathtub shaped, unimodal, increasing-decreasing-increasing and decreasing-increasing-decreasing hazard functions in comparing with former extensions of the Weibull distribution. We study its properties including servival and hazard functions, moments, moment generating and characteristic functions, quantiles and Renyi entropy. Estimation of parameters using the methods of moment and maximum likelihood is obtained. We show the consistency of the moments and maximum likelihood estimators using some simulation study. Finally, the flexibility of the new distribution is illustrated in an application to two real data sets.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Hazard rate function</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Moment generating function</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Weibull distribution</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Likelihood function</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jsm.yazd.ac.ir/article_1903_65eaaa56058194076aba254557e235e2.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
