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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. He was born in Sirohi, Rajasthan, India in a Jain family and now resides and works in Leeds.
Professor Kanti Mardia. Position: Senior Research Professor. Areas of expertise: Bioinformatics, directional statistics, geosciences, image analysis, multivariate analysis, shape analysis, spatial statistics, and spatial-temporal modelling. Email: K.V.Mardia@leeds.ac.uk. Phone: +44 (0)113 343 5100.
Professor Mardia has made pioneering contributions in many areas of statistics including multivariate analysis, directional data analysis, shape analysis, and spatial statistics. He has been credited for path-breaking contributions in geostatistics, imaging, machine vision, tracking, and spatio-temporal modeling, to name a few.
- Nitis Mukhopadhyay
- 2002
A Conversation with Kanti Mardia Nitis Mukhopadhyay 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
Kantilal Mardia - The Mathematics Genealogy Project. Kantilal Vardichand Mardia. MathSciNet. Ph.D. University of Rajasthan 1965. Dissertation: Mathematics Subject Classification: 62—Statistics. Advisor 1: G. C. Patni. Ph. D. University of Newcastle upon Tyne 1967. Dissertation: Bivariate distributions and non-parametric tests.
1 de mai. de 2002 · The rediscovery and popularisation of these probabilistic distance measures has been fostered by Professor Kantilal Mardia, MSc, PhD, DSc, '94…a statistician specialising in directional ...
1 de mai. de 2002 · Professor Mardia has made pioneering contributions in many areas of statistics including multivariate analysis, directional data analysis, shape analysis, and spatial statistics. He has been credited for path-breaking contributions in geostatistics, imaging, machine vision, tracking, and spatio-temporal modeling, to name a few.
