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John A Hartigan

Biographic Data

ID709514
NAMEJohn A Hartigan
GIVEN NAMESJohn A
FAMILY NAMEHartigan
SIGNATUREHARTIGAN J A
AFFILIATIONSYale University
ORCID0000-0001-9126-9555
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS1
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1979
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Improving Care for People Aging with HIV

    Open Access•Daniel Bélanger, John Wikiera et al.•ARTICLE•Journal of Community Health•2024

  • Care of the Species

    John Hartigan Jr, John A Hartigan et al.•BOOK•Care of the Species•2017

  • Statistical Clustering

    Open Access•John A Hartigan•CHAPTER•International Encyclopedia of the…•2015

  • Biologies of Race

    Open Access•J Hartigan, John A Hartigan•ARTICLE•Transforming Anthropology•2012

  • The case for fairness

    Open Access•Alexandra K Wigdor, John A Hartigan•ARTICLE•Society•1990•Cited by: 1

  • Fairness in Employment Testing

    John A Hartigan, National Research Council et al.•BOOK•Fairness in Employment Testing•1989

  • The Dip Test of Unimodality

    John A Hartigan, Pamela Hartigan et al.•ARTICLE•The Annals of Statistics•1985

    The dip test measures multimodality in a sample by the maximum difference, over all sample points, between the empirical distribution function, and the unimodal distribution function that minimizes that maximum difference. The uniform distribution is the asymptotically least favorable unimodal distribution, and the distribution of the test statistic is determined asymptotically and empirically when sampling from the uniform.

  • Algorithm as 136

    John A Hartigan, M Anthony Wong•ARTICLE•Applied Statistics•1979

  • The case for fairness

    Open Access•Alexandra K Wigdor, John A Hartigan•ARTICLE•Society•1990•Cited by: 1

  • Algorithm as 136

    John A Hartigan, M Anthony Wong•ARTICLE•Applied Statistics•1979

  • The Dip Test of Unimodality

    John A Hartigan, Pamela Hartigan et al.•ARTICLE•The Annals of Statistics•1985

    The dip test measures multimodality in a sample by the maximum difference, over all sample points, between the empirical distribution function, and the unimodal distribution function that minimizes that maximum difference. The uniform distribution is the asymptotically least favorable unimodal distribution, and the distribution of the test statistic is determined asymptotically and empirically when sampling from the uniform.

  • Fairness in Employment Testing

    John A Hartigan, National Research Council et al.•BOOK•Fairness in Employment Testing•1989

  • The case for fairness

    Open Access•Alexandra K Wigdor, John A Hartigan•ARTICLE•Society•1990•Cited by: 1

  • Biologies of Race

    Open Access•J Hartigan, John A Hartigan•ARTICLE•Transforming Anthropology•2012

  • Statistical Clustering

    Open Access•John A Hartigan•CHAPTER•International Encyclopedia of the…•2015

  • Care of the Species

    John Hartigan Jr, John A Hartigan et al.•BOOK•Care of the Species•2017

  • Improving Care for People Aging with HIV

    Open Access•Daniel Bélanger, John Wikiera et al.•ARTICLE•Journal of Community Health•2024

Computer Science (3 works) · Mathematics (3 works) · Advanced Clustering Algorithms Research (2 works) · Artificial Intelligence (2 works) · Cluster analysis (2 works) · Gerontology (2 works) · Medicine (2 works) · Advanced Statistical Methods and Models (1 work) · Agriculture (1 work) · Algorithm (1 work)

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