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  1. en.wikipedia.org › wiki › Kanti_MardiaKanti Mardia - Wikipedia

    Kantilal Vardichand "Kanti" Mardia OBE (born 1935) is an Indian-British statistician specialising in directional statistics, multivariate analysis, geostatistics, statistical bioinformatics and statistical shape analysis.

  2. Kanti V. Mardia is currently a Senior Research Professor, a position which has been specially created by the University of Leeds after ending in 2000 his position as Chair of Applied Statistics which he had held since 1973. He is also a Visiting Professor at Oxford University from March 2013.

  3. Kanti V. Mardia is a Senior Research Professor in the Department of Statistics at the University of Leeds, Leverhulme Emeritus Fellow, and Visiting Professor in the Department of Statistics, University of Oxford.

  4. Professor Mardia retired on September 30, 2000 to take a full-time post as Senior Research Professor at Leeds-a new position especially created for him. In April, 1999, Professor Kanti V. Mardia was in-vited to the University of Connecticut as a short-term guest professor for four weeks. This conversation be-

  5. Abstract. Kantilal Vardichand Mardia was born on April 3, 1935, in Sirohi, Rajasthan, India. He earned his B.Sc. degree in mathematics from Ismail Yusuf College–University of Bombay, in 1955, M.Sc. degrees in statistics and in pure mathematics from University of Bombay in 1957 and University of Poona in 1961, respectively, and Ph.D. degrees ...

    • Nitis Mukhopadhyay
    • 2002
  6. 1 de mai. de 2002 · Kanti Mardia Plackett (1965) has given a class of contingency-type bivariate distributions which contains the boundary distributions and the member corresponding to independent random variables.

  7. 1 de mai. de 2002 · A Conversation with Kanti Mardia. Professor Mardia has made pioneering contributions in many areas of statistics including multivariate analysis, directional data analysis, shape analysis, and spatial statistics and has been credited for path-breaking contributions in geostatistics, imaging, machine vision, tracking, and spatio ...