Dependence testing in generalized partially linear regression: asymptotic power of Kendall’s τ.

Saved in:
Bibliographic Details
Title: Dependence testing in generalized partially linear regression: asymptotic power of Kendall’s τ.
Authors: Das, Sthitadhi1 dsd.mt@brainwareuniversity.ac.in
Source: Communications for Statistical Applications & Methods. Mar2026, Vol. 33 Issue 2, p145-169. 25p.
Database: Mathematics Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: msf
DbLabel: Mathematics Source
An: 193019776
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Dependence testing in generalized partially linear regression: asymptotic power of Kendall’s τ.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Das%2C+Sthitadhi%22">Das, Sthitadhi</searchLink><relatesTo>1</relatesTo><i> dsd.mt@brainwareuniversity.ac.in</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Communications+for+Statistical+Applications+%26+Methods%22">Communications for Statistical Applications & Methods</searchLink>. Mar2026, Vol. 33 Issue 2, p145-169. 25p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=193019776
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.29220/CSAM.2026.33.2.145
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 145
    Titles:
      – TitleFull: Dependence testing in generalized partially linear regression: asymptotic power of Kendall’s τ.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Das, Sthitadhi
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 22877843
          Numbering:
            – Type: volume
              Value: 33
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Communications for Statistical Applications & Methods
              Type: main
ResultId 1