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Statistical Challenges in Astronomy by Eric D. Feigelson, Jogesh Babu, Gutti Jogesh Babu is a nonfiction available to read on EtoBox.

What is Statistical Challenges in Astronomy about?

Digital Sky Surveys, High-precision Astrometry From Satellite Data, Deep-space Data From Orbiting Telescopes, And The Like Have All Increased The Quantity And Quality Of Astronomical Data By Orders Of Magnitude Per Year For Several Years. Making Sense Of This Wealth Of Data Requires Sophisticated Statistical Techniques. Fortunately, Statistical Methodologies Have Similarly Made Great Strides In Recent Years. Powerful Synergies Thus Emerge When Astronomers And Statisticians Join In Examining Astrostatistical Problems And Approaches. The Book Begins With An Historical Overview And Tutorial Articles On Basic Cosmology For Statisticians And The Principles Of Bayesian Analysis For Astronomers. As In Earlier Volumes In This Series, Research Contributions Discussing Topics In One Field Are Joined With Commentary From Scholars In The Other. Thus, For Example, An Overview Of Bayesian Methods For Poissonian Data Is Joined By Discussions Of Planning Astronomical Observations With Optimal Efficiency And Nested Models To Deal With Instrumental Effects. The Principal Theme For The Volume Is The Statistical Methods Needed To Model Fundamental Characteristics Of The Early Universe On Its Largest S

Who reads Statistical Challenges in Astronomy?

Author

Eric D. Feigelson, Jogesh Babu, Gutti Jogesh Babu

Publisher

Springer New York

Published

2003

Language

EN

ISBN

9786610188673

Category

nonfiction

Subjects

Science, Technology, Mathematics