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RUL prediction based on a two-phase random volatility inverse Gaussian process.

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Bibliographic Details
Title: RUL prediction based on a two-phase random volatility inverse Gaussian process.
Authors: Liang, Yu-ying1, Yan, Zai-zai1, zz.yan@163.com, Sun, Li-jun1
Source: Communications in Statistics: Theory & Methods; 2026, Vol. 55 Issue 3, p911-932, 22p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190954892
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: RUL prediction based on a two-phase random volatility inverse Gaussian process.
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  Data: <searchLink fieldCode="AU" term="%22Liang%2C+Yu-ying%22">Liang, Yu-ying</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Yan%2C+Zai-zai%22">Yan, Zai-zai</searchLink><relatesTo>1</relatesTo>, <i>zz.yan@163.com</i><br /><searchLink fieldCode="AU" term="%22Sun%2C+Li-jun%22">Sun, Li-jun</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Communications+in+Statistics%3A+Theory+%26+Methods%22">Communications in Statistics: Theory & Methods</searchLink>; 2026, Vol. 55 Issue 3, p911-932, 22p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190954892
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/03610926.2025.2509718
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 22
        StartPage: 911
    Titles:
      – TitleFull: RUL prediction based on a two-phase random volatility inverse Gaussian process.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Liang, Yu-ying
      – PersonEntity:
          Name:
            NameFull: Yan, Zai-zai
      – PersonEntity:
          Name:
            NameFull: Sun, Li-jun
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      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: 2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 03610926
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              Value: 55
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Communications in Statistics: Theory & Methods
              Type: main
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