P
Pranab Kumar Sen
Researcher at University of North Carolina at Chapel Hill
Publications - 572
Citations - 23008
Pranab Kumar Sen is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Estimator & Nonparametric statistics. The author has an hindex of 51, co-authored 570 publications receiving 19997 citations. Previous affiliations of Pranab Kumar Sen include Indian Statistical Institute & Academia Sinica.
Papers
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Some Non-Parametric Tests for m-dependent Time Series
TL;DR: In this article, the modified forms of the usual sign test, the test based on the rank correlation τ (for randomness against trend alternatives), and the test proposed by Moore and Wallis [9] and further developed by Goodman and Grunfeld [2] (for the comovement between two time series) are studied.
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Non-Parametric Methods in Multivariate Analysis
Madan L. Puri,Pranab Kumar Sen +1 more
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Smooth Isotonic Estimation of Density, Hazard and MRL Functions
TL;DR: In this article, smooth isotonic estimators of density, hazard, mean residual life, and other functionals of (survival) distribution functions are proposed along with the computational aspects, their (asymptotic) properties are discussed.
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Recursive M-Tests for the Constancy of Multivariate Regression Relationships Over Time
TL;DR: For a general linear model, based on a general class of recursive M-estimators of regression parameters and allied M-statistics, some testing procedures for a possible change in the regression relationships occurring at an unknown time point are considered in this paper.
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Almost Sure Behaviour of $U$-Statistics and Von Mises' Differentiable Statistical Functions
TL;DR: In this paper, almost sure convergence to appropriate Wiener processes is studied for statistics and von Mises' differentiable statistical functions, when the regular functional is stationary of order zero.