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November 2004 Quantile Probability and Statistical Data Modeling
Emanuel Parzen
Statist. Sci. 19(4): 652-662 (November 2004). DOI: 10.1214/088342304000000387

Abstract

Quantile and conditional quantile statistical thinking, as I have innovated it in my research since 1976, is outlined in this comprehensive survey and introductory course in quantile data analysis. We propose that a unification of the theory and practice of statistical methods of data modeling may be possible by a quantile perspective. Our broad range of topics of univariate and bivariate probability and statistics are best summarized by the key words. Two fascinating practical examples are given that involve positive mean and negative median investment returns, and the relationship between radon concentration and cancer.

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Emanuel Parzen. "Quantile Probability and Statistical Data Modeling." Statist. Sci. 19 (4) 652 - 662, November 2004. https://doi.org/10.1214/088342304000000387

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Vol.19 • No. 4 • November 2004
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