STATISTICS: REFLECTIONS ON THE PAST AND VISIONS FOR THE FUTURE

STATISTICS: REFLECTIONS ON THE PAST AND VISIONS FOR THE FUTURE
Author: C. Radhakrishna Rao a
Affiliation:
a Pennsylvania State University, PA, U.S.A.
DOI: 10.1081/STA-100107683
Publication Frequency: 20 issues per year
Published in: Communications in Statistics - Theory and Methods, Volume 30, Issue 11 November 2001 , pages 2235 - 2257
Formats available: HTML (English) : PDF (English)

A statistical perspective on ill-posed inverse problems

A statistical perspective on ill-posed inverse problems
F O'Sullivan - Statistical Science, 1986 - jstor.org
Page 1. Statistical Science 1986, Vol. 1, No. 4, 502-527 A Statistical Perspectiveon Ill-posed Inverse Problems Finbarr O'Sullivan Abstract. ...

A History of the Statistical Society of Canada: The Formative Years

A History of the Statistical Society of Canada: The Formative Years
David R. Bellhouse, Christian Genest
Statistical Science, Vol. 14, No. 1 (Feb., 1999), pp. 80-115

Biometrika Centenary: Nonparametrics

Author(s): Peter Hall
Source: Biometrika, Vol. 88, No. 1 (Mar., 2001), pp. 143-165
Published by: Biometrika
TrustStable URL: http://www.jstor.org/stable/2673677
Peter Hall has reviewed the contribution of Biometricka to the development in the Nonparametircs literature.

An interesting corelation question

Today, I was confronted by an interesting macroeconomic question, which turns out to be a statistical question. The setup of the question is as follows: say x, and z are procyclical for y (output), that is, cov(x,y)>0 and cov(z,y)>0. Is it possible that cov(x,z)<0? If it is, find out the conditions for this to hold. Note that the covariance operator only captures the linear relationship while the nonlinear relationship is here to paly a role to make x and z negatively related. The solution would simplify once we assume that y is a symmetrically distributed random variable with mean zero. Also, the relationship between x and y and that between z and y are charactorized by x=f(y), z=g(y), respectively. Assuming f() and g() having zero derivatives for order higher than 2 will easily give the following condition for cov(x,z)<0 to hold:
00 and g'>0.
That is, the curvature of f and g must be different, with one being convex and the other being concave. Other than this, we need have abs(f ''(0)g''(0)) very large or y with high kurtosis for the condition to hold.

Swine Flue: A Statistician's Point of View

Distribution of Swine Flu Cases by Weekday

How to Accuse the Other Guy of Lying with Statistics

See the interesting article from Statistical Science:
How to Accuse the Other Guy of Lying with Statistics by Charles Murray