Automatic differentiation of Box-Cox transformations with application to random effects models for continuous non-normal response.

Saved in:
Bibliographic Details
Title: Automatic differentiation of Box-Cox transformations with application to random effects models for continuous non-normal response.
Authors: Stringer, Alex1 (AUTHOR) alex.stringer@uwaterloo.ca
Source: Statistics & Computing. Oct2022, Vol. 32 Issue 5, p1-15. 15p.
Database: Mathematics Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: msf
DbLabel: Mathematics Source
An: 159542330
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Automatic differentiation of Box-Cox transformations with application to random effects models for continuous non-normal response.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Stringer%2C+Alex%22">Stringer, Alex</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> alex.stringer@uwaterloo.ca</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Statistics+%26+Computing%22">Statistics & Computing</searchLink>. Oct2022, Vol. 32 Issue 5, p1-15. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=159542330
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11222-022-10160-9
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 1
    Titles:
      – TitleFull: Automatic differentiation of Box-Cox transformations with application to random effects models for continuous non-normal response.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Stringer, Alex
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 09603174
          Numbering:
            – Type: volume
              Value: 32
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Statistics & Computing
              Type: main
ResultId 1