Record

RefNoEC/1994/22
LevelItem
TitleMcCullagh, Peter: certificate of election to the Royal Society
Date02/04/1990
DescriptionCitation typed
CitationDistinguished for his wide-ranging contributions to statistical theory and method. His book 'Tensor methods in statistics' (1987) is a pioneering exploitation of tensor methods applied to distributional problems arising in statistics. It contains substantial new results, in particular on the distribution of likelihood-based statistics widely used in applications. His book with J. A. Nelder, FRS 'Generalised linear models' (1st edition 1983, 2nd edition 1989) has had a major direct impact on statistical methods used in many fields of application; the second edition contains much new material developed since the first edition. Other work includes the elucidation of quasi-likelihood, a device for relaxing assumptions about errors made in many commonly used methods of statistical analysis, and the development of powerful methods for the analysis of ordinal data.
AccessStatusClosed
Add to My Items

    Collection highlights

    Browse the records of some of our collections, which cover all branches of science and date from the 12th century onwards. These include the published works of Fellows of the Royal Society, personal papers of eminent scientists, letters and manuscripts sent to the Society or presented at meetings, and administrative records documenting the Society's activities since our foundation in 1660.

    The Royal Society

    The Royal Society is a Fellowship of many of
    the world's most eminent scientists and is the
    oldest scientific academy in continuous existence.
    Registered charity number 207043

    Website design ©CalmView



    CONTACT US

    + 44 207 451 2500
    (Lines open Mon-Fri, 9:00-17:00. Excludes bank holidays)

    6-9 Carlton House Terrace, London SW1Y 5AG

    Email Us →

    SUBSCRIBE

    Subscribe to our newsletters to be updated with the
    latest news on innovation, events, articles and reports.

    Subscribe →

    © CalmView