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231226s2020 xx |||||o 00| ||eng c |
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|a 10.1080/02664763.2019.1693523
|2 doi
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|a eng
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|a Hu, Xuehua
|e verfasserin
|4 aut
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|a Assessing the lifetime performance index with Lomax distribution based on progressive type I interval censored sample
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|c 2020
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|a Text
|b txt
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Revised 16.06.2022
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|a published: Electronic-eCollection
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|a Citation Status PubMed-not-MEDLINE
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|a © 2019 Informa UK Limited, trading as Taylor & Francis Group.
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|a In manufacturing industry, the lifetime performance index C L is applied to evaluate the larger-the-better quality features of products. It can quickly show whether the lifetime performance of products meets the desired level. In this article, first we obtain the maximum likelihood estimator of C L with two unknown parameters in the Lomax distribution on the basis of progressive type I interval censored sample. With the MLE we proposed, some asymptotic confidence intervals of C L are discussed by using the delta method. Furthermore, the MLE of C L is used to establish the hypothesis test procedure under a given lower specification limit L. In addition, we also conduct a hypothesis test procedure when the scale parameter in the Lomax distribution is given. Finally, we illustrate the proposed inspection procedures through a real example. The testing procedure algorithms presented in this paper are efficient and easy to implement
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|a Journal Article
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|a 62N03
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| 650 |
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|a Lomax distribution
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| 650 |
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4 |
|a conforming rate
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| 650 |
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4 |
|a lifetime performance index
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| 650 |
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4 |
|a maximum likelihood estimator
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| 650 |
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4 |
|a progressive type I interval censored sample
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| 650 |
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4 |
|a testing procedure algorithm
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| 700 |
1 |
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|a Gui, Wenhao
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Journal of applied statistics
|d 1991
|g 47(2020), 10 vom: 14., Seite 1757-1775
|w (DE-627)NLM098188178
|x 0266-4763
|7 nnns
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| 773 |
1 |
8 |
|g volume:47
|g year:2020
|g number:10
|g day:14
|g pages:1757-1775
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| 856 |
4 |
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|u http://dx.doi.org/10.1080/02664763.2019.1693523
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