Gender: Male
Howell Tong is a statistician who has made fundamental contributions to nonlinear time series analysis, semi-parametric statistics, non-parametric statistics, dimension reduction, model selection, likelihood-free statistics and other areas. In the words of Professor Peter Whittle (FRS): "The striking feature of Howell Tong's … is the
continuing freshness, boldness and spirit of enquiry which inform them-indeed, proper qualities for
an explorer. He stands as the recognised innovator and authority in his subject, while remaining
disarmingly direct and enthusiastic." His work, in the words of Sir David Cox, "links two fascinating fields, nonlinear time series and deterministic dynamical systems."
He is the father of the threshold time series models, which have extensive applications in ecology, economics, epidemiology and finance. Besides nonlinear time series analysis, he was the co-author of a seminal paper, which he read to the Royal Statistical Society, on dimension reduction in semi-parametric statistics by pioneering the approach based on minimum average variance estimation. He has also made numerous novel contributions to nonparametric statistics, Markov chain modelling, reliability, non-stationary time series analysis and wavelets.
Source: Wikipedia | Last updated on June 2, 2024
On the name Howell Tong, Howell means Alert One, Eminent, Remarkable. Tong means Fragrant, Garland of Gold.
The name Howell Tong is often used as a Male name and is mostly used as a Last Name.
Howell is commonly found in United States of America, United Kingdom, Philippines, and 31 more countries.
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At NamesLook, the name Howell is recorded 308 times globally, ranking it as the 82,276th most common name worldwide.
Howell is most prevalent in United States of America, with 87 occurrences, making it the 18,798th most popular name in the country.
In Philippines, the name Howell is found among 1 in every 10116 people, showcasing its highest frequency there.
Country | Rank | Frequency |
---|---|---|
United States of America | #18,798 | 1 : 20,794 |
United Kingdom | #10,845 | 1 : 12,182 |
Philippines | #3,687 | 1 : 10,116 |
Nigeria | #21,752 | 1 : 55,222 |
This chart displays the ranking of the name Howell from 1980 to 2023, based on the most recent data from the U.S. Social Security Administration.
Howell Tong is a statistician who has made fundamental contributions to nonlinear time series analysis, semi-parametric statistics, non-parametric statistics, dimension reduction, model selection, likelihood-free statistics and other areas. In the words of Professor Peter Whittle (FRS): "The striking feature of Howell Tong's … is the continuing freshness, boldness and spirit of enquiry which inform them-indeed, proper qualities for an explorer. He stands as the recognised innovator and authority in his subject, while remaining disarmingly direct and enthusiastic." His work, in the words of Sir David Cox, "links two fascinating fields, nonlinear time series and deterministic dynamical systems." He is the father of the threshold time series models, which have extensive applications in ecology, economics, epidemiology and finance. Besides nonlinear time series analysis, he was the co-author of a seminal paper, which he read to the Royal Statistical Society, on dimension reduction in semi-parametric statistics by pioneering the approach based on minimum average variance estimation. He has also made numerous novel contributions to nonparametric statistics, Markov chain modelling, reliability, non-stationary time series analysis and wavelets.
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