Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
  • 1
    Online-Ressource
    Online-Ressource
    Cambridge, United Kingdom ; New York, NY :Cambridge University Press,
    UID:
    almahu_9949625823602882
    Umfang: 1 online resource (xv, 207 pages) : , digital, PDF file(s).
    ISBN: 9781009127950 (ebook)
    Inhalt: Benford's Law is a probability distribution for the likelihood of the leading digit in a set of numbers. This book seeks to improve and systematize the use of Benford's Law in the social sciences to assess the validity of self-reported data. The authors first introduce a new measure of conformity to the Benford distribution that is created using permutation statistical methods and employs the concept of statistical agreement. In a switch from a typical Benford application, this book moves away from using Benford's Law to test whether the data conform to the Benford distribution, to using it to draw conclusions about the validity of the data. The concept of 'Benford validity' is developed, which indicates whether a dataset is valid based on comparisons with the Benford distribution and, in relation to this, diagnostic procedure that assesses the impact of not having Benford validity on data analysis is devised.
    Anmerkung: Title from publisher's bibliographic system (viewed on 13 Nov 2023).
    Weitere Ausg.: Print version: ISBN 9781009123075
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 2
    Online-Ressource
    Online-Ressource
    Cambridge, England :Cambridge University Press,
    UID:
    almafu_9961304143602883
    Umfang: 1 online resource (xv, 207 pages) : , digital, PDF file(s).
    Ausgabe: First edition.
    ISBN: 9781009463522 , 1009463527 , 9781009463683 , 1009463683 , 9781009127950 , 1009127950
    Inhalt: Benford's Law is a probability distribution for the likelihood of the leading digit in a set of numbers. This book seeks to improve and systematize the use of Benford's Law in the social sciences to assess the validity of self-reported data. The authors first introduce a new measure of conformity to the Benford distribution that is created using permutation statistical methods and employs the concept of statistical agreement. In a switch from a typical Benford application, this book moves away from using Benford's Law to test whether the data conform to the Benford distribution, to using it to draw conclusions about the validity of the data. The concept of 'Benford validity' is developed, which indicates whether a dataset is valid based on comparisons with the Benford distribution and, in relation to this, diagnostic procedure that assesses the impact of not having Benford validity on data analysis is devised.
    Anmerkung: Title from publisher's bibliographic system (viewed on 13 Nov 2023). , Cover -- Half-title -- Title page -- Imprints page -- Contents -- List of Figures -- List of Tables -- Preface -- Acknowledgments -- Chapter 1 Introduction -- Benford's Law -- Benford Agreement Analysis and Benford Validity -- Plan for the Book -- Chapter 2 Validity and Self-Reported Data -- Validity in Social Science -- Validity of Self-Reported Data -- Benford's Law and the Validity of Self-Reported Data -- Conclusion -- Chapter 3 Benford's Law and Assessing Conformity -- A Brief History -- The Benford Distribution -- Measures of Probability -- Permutation Statistical Methods -- Measures of Effect Size -- A Chance-Corrected Measure of Effect Size -- Ordinary Euclidean Scaling -- Probability Values -- Assessing Conformity -- Conclusion -- Chapter 4 Data Characteristics and the Workflow of Benford Agreement Analysis -- Data Characteristics and Assessing Accuracy -- The Benford Distribution and Measures of Agreement -- Program Benford -- Assessing Accuracy and Measuring Agreement: Recap -- The Workflow of Benford Agreement Analysis -- Conclusion -- Chapter 5 Benford Agreement Analysis of the Sea Around Us Project's Fish-Landings Data -- The Global Fishing Industry -- Sea Around Us and the Dataset -- Benford Agreement Procedure -- Benford Agreement Analysis of Sea Around Us Data -- Summary of the Sea Around Us Benford Agreement Analysis -- Conclusion -- Chapter 6 Benford Agreement Analysis of US and Global COVID-19 New Cases Data -- COVID-19, Background -- Benford Agreement Procedure -- The United States and COVID-19 -- Benford Agreement Analysis of US COVID-19 New Cases Data -- Global COVID-19 Cases -- Conclusion -- Chapter 7 Assessing the Impacts of Problematic Benford Validity -- Assessing Data with Problematic Benford Validity -- Conclusion -- Chapter 8 Conclusion -- The Workflow of Benford Agreement Analysis: A Summary. , When to Use a Benford Agreement Analysis -- Concluding Thoughts -- References -- Index.
    Weitere Ausg.: ISBN 9781009124249
    Weitere Ausg.: ISBN 1009124242
    Weitere Ausg.: ISBN 9781009123075
    Weitere Ausg.: ISBN 1009123076
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    UID:
    b3kat_BV049570453
    Umfang: 1 Online-Ressource (xv, 207 Seiten) , Diagramme
    ISBN: 9781009127950
    Inhalt: Benford's Law is a probability distribution for the likelihood of the leading digit in a set of numbers. This book seeks to improve and systematize the use of Benford's Law in the social sciences to assess the validity of self-reported data. The authors first introduce a new measure of conformity to the Benford distribution that is created using permutation statistical methods and employs the concept of statistical agreement. In a switch from a typical Benford application, this book moves away from using Benford's Law to test whether the data conform to the Benford distribution, to using it to draw conclusions about the validity of the data. The concept of 'Benford validity' is developed, which indicates whether a dataset is valid based on comparisons with the Benford distribution and, in relation to this, diagnostic procedure that assesses the impact of not having Benford validity on data analysis is devised.
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-1-009-12307-5
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-1-009-12424-9
    Sprache: Englisch
    URL: Volltext  (URL des Erstveröffentlichers)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Meinten Sie 9781009123051?
Meinten Sie 9781009123044?
Meinten Sie 9781009123013?
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie auf den KOBV Seiten zum Datenschutz