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New Statistical Methods for Analysis of Large Surveys: Distributions and Correlations

Published online by Cambridge University Press:  12 April 2016

Vahé Petrosian
Vahé Petrosian*
Affiliation:
Center for Space Science and Astrophysics, Varian 302c, Stanford University, Stanford, CA 94305-4060

Abstract

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The aim of this paper is to describe new statistical methods for determination of the correlations among and distributions of physical parameters from a multivariate data with general and arbitrary truncations and selection biases. These methods, developed in collaboration with B. Efron of Department of Statistics at Stanford, can be used for analysis of combined data from many surveys with different and varied observational selection criteria. For clarity I will use the luminosity function of AGNs and its evolution to demonstrate the methods. I will first describe the general features of data truncation and present a brief review of past methods of analysis. Then I will describe the new methods and results from simulations testing their accuracy. Finally I will present the results from application of the methods to a sample of quasars.

Type
Part 6. Future Projects
Information
International Astronomical Union Colloquium , Volume 184: AGN Surveys , 2002 , pp. 389 - 397
Copyright
Copyright © Astronomical Society of the Pacific 2002

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