View in EDS HTML Full Text PDF Full Text

A more powerful test method for analyzing unreplicated factorial two-level experiments.

Saved in:
Bibliographic Details
Title: A more powerful test method for analyzing unreplicated factorial two-level experiments.
Authors: Chen, Y.1,2 (AUTHOR) ychen@mail.shufe.edu.cn
Source: Communications in Statistics: Simulation & Computation. 2025, Vol. 54 Issue 8, p3165-3181. 17p.
Database: Mathematics Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: msf
DbLabel: Mathematics Source
An: 187695912
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A more powerful test method for analyzing unreplicated factorial two-level experiments.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Y%2E%22">Chen, Y.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> ychen@mail.shufe.edu.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Communications+in+Statistics%3A+Simulation+%26+Computation%22">Communications in Statistics: Simulation & Computation</searchLink>. 2025, Vol. 54 Issue 8, p3165-3181. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=187695912
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/03610918.2024.2338186
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 3165
    Titles:
      – TitleFull: A more powerful test method for analyzing unreplicated factorial two-level experiments.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Chen, Y.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: 2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 03610918
          Numbering:
            – Type: volume
              Value: 54
            – Type: issue
              Value: 8
          Titles:
            – TitleFull: Communications in Statistics: Simulation & Computation
              Type: main
ResultId 1