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An example on estimating Weibull scale (eta) and shape (beta) parameters from sample failure data

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this paper a example is discussed to obtain the shape and scale parameters of Weibull distribution. Parameters are estimated using sample time-to-failure data or lifetime data. There are several methods available for Weibull parameter estimation, in this paper a relatively simple method of linearizing the unreliability function and then fitting it to a straight line equation to obtain shape and scale parameters is discussed. Sample failure data of two different types of LED bulbs manufactured by different manufacturers is taken for analysis and parameter estimation.

    Original languageEnglish
    Title of host publicationProceedings of the 4th International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2018
    EditorsDattathreya Dattathreya, J Praveen, D.V Manjunatha, Manjunatha Kotari, Jayanth Kumar Rathod
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages60-63
    Number of pages4
    ISBN (Electronic)9781538677063
    DOIs
    Publication statusPublished - 09-2018
    Event4th International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2018 - Karnataka, India
    Duration: 06-09-201808-09-2018

    Publication series

    NameProceedings of the 4th International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2018

    Conference

    Conference4th International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2018
    Country/TerritoryIndia
    CityKarnataka
    Period06-09-1808-09-18

    All Science Journal Classification (ASJC) codes

    • Computer Science Applications
    • Hardware and Architecture
    • Computer Networks and Communications
    • Safety, Risk, Reliability and Quality
    • Control and Optimization
    • Instrumentation
    • Information Systems and Management

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