Nalini Ravishanker is an Indian statistician interested in time series analysis and in applications of statistics to actuarial science, business, and transportation. She is a professor of statistics at the University of Connecticut,[1] co-editor-in-chief of International Statistical Review,[2][3] and president of the International Society for Business and Industrial Statistics for 2015–2017.[4]
Ravishanker earned a bachelor's degree in statistics in 1981 from Presidency College, Chennai. She completed her PhD in 1987 from the New York University Stern School of Business. After a temporary position at the IBM Thomas J. Watson Research Center she joined the Connecticut faculty in 1989.[1]
With Dipak K. Dey, Ravishanker is the author of A First Course in Linear Model Theory (Chapman & Hall, 2001; 2nd ed., 2017).[5] She is also one of the editors of Handbook of Discrete-Valued Time Series (Chapman & Hall, 2015).
Ravishanker is a fellow of the American Statistical Association and an elected member of the International Statistical Institute.[1] She was named to the 2021 class of Fellows of the American Association for the Advancement of Science.[6]
Original source: https://en.wikipedia.org/wiki/Nalini Ravishanker.
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