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1 - Astrostatistics

Published online by Cambridge University Press:  11 May 2017

Joseph M. Hilbe
Affiliation:
Jet Propulsion Laboratory, California Institute of Technology
Rafael S. de Souza
Affiliation:
Eötvös Loránd University, Budapest
Emille E. O. Ishida
Affiliation:
Université Clermont-Auvergne (Université Blaise Pascal), France
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Summary

The Nature and Scope of Astrostatistics

Astrostatistics is at the same time one of the oldest disciplines, and one of the youngest. The Ionian Greek philosopher Thales of Miletus is credited with correctly predicting a total solar eclipse in central Lydia, which he had claimed would occur in May of 585 BCE. He based this prediction on an examination of records maintained by priests throughout the Mediterranean and Near East. The fact that his prediction was apparently well known, and the fact that the Lydians were engaged in a war with the Medes in Central Lydia during this period, brought his prediction notice and fame. Thales was forever after regarded as a sage and even today he is named the father of philosophy and the father of science in books dealing with these subjects.

Thales’ success spurred on others to look for natural relationships governing the motions of astronomical bodies. Of particular note was Hipparchus (190–120 BCE) who, following on the earlier work of Aristarchus of Samos (310–230 BCE and Eratosthenes (276–147 BCE), is widely regarded as the first to clearly apply statistical principles to the analysis of astronomical events. Hipparchus also is acknowledged to have first developed trigonometry, spherical trigonometry, and trigonometric tables, applying these to the motions of both the moon and sun. Using the size of the moon's parallax and other data from the median percent of the Sun covered by the shadow of the Earth at various sites in the area, he calculated the distance from the Earth to the Moon as well as from the Earth to the Sun in terms of the Earth's radius. His result was that the median value is 60.5 Earth radii. The true value is 60.3. He also calculated the length of the topical year to within six minutes per year of its true value.

Others in the ancient world, as well as scientists until the early nineteenth century, also used descriptive statistical techniques to describe and calculate the movements and relationships between the Earth and astronomical bodies. Even the first application of a normal or ordinary least squares regression was to astronomy. In 1801 Hungarian Franz von Zach applied the new least squares regression algorithm developed by Carl Gauss for predicting the position of Ceres as it came into view from its orbit behind the Sun.

Type
Chapter
Information
Bayesian Models for Astrophysical Data
Using R, JAGS, Python, and Stan
, pp. 1 - 8
Publisher: Cambridge University Press
Print publication year: 2017

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References

Feigelson, E. D. and J. G., Babu (2012). Statistical Challenges in Modern Astronomy V. Lecture Notes in Statistics. Springer.
Hilbe, J. M. (2012). “Astrostatistics in the international arena.” In: Statistical Challenges in Modern Astronomy V, eds. E. D., Feigelson and J. G., Babu. Springer, pp. 427–433.
Hilbe, J. M. (2016). “Astrostatistics as new statistical discipline – a historical perspective.” www.worldofstatistics.org/files/2016/05/WOS_newsletter_05252016.pdf (visited on 06/16/2016).
McCullagh, P. (2002). “What is a statistical model?” Ann. Statist. 30(5), 1225–1310. DOI: 10.1214/aos/1035844977.Google Scholar
White, L. A. (2014). “The rise of astrostatistics.” www.symmetrymagazine.org/article/november-2014/the-rise-of-astrostatistics (visited on 06/16/2016).

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