A New Approach to Astronomical Data Analysis Based on Multiple Variables

Author:

Banerjee Prasenjit1ORCID,Chattopadhyay Asis Kumar1,Modak Soumita2ORCID

Affiliation:

1. Department of Statistics, University of Calcutta, 35 Ballygunge Circular Road, Kolkata 700019, India

2. Faculty of Statistics, University of Calcutta, Basanti Devi College, 147B Rash Behari Avenue, Kolkata 700029, West Bengal, India

Abstract

Data analysis for a sample of celestial bodies generally is preceded by the completeness test in order to verify whether the sample objects are proper representatives of the corresponding part of the universe. A data set following a multivariate, continuous, uniform distribution is said to be “complete in space.” This paper introduces a new approach to check for this completeness for any astronomical data set under a multivariate setup. Our proposed procedure, using the multiple tests of hypotheses based on nonparametric statistics, and consequently, combining their p values, outperforms others from the literature.

Funder

University Grants Commission

Publisher

Hindawi Limited

Subject

Space and Planetary Science,Astronomy and Astrophysics

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5. ModakS.Uncovering Astrophysical Phenomena Related to Galaxies and Other Objects through Statistical Analysis2019San Francisco, CA, USAHandle SystemPh.D. thesis

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