0
Your cart

Your cart is empty

Books > Science & Mathematics > Astronomy, space & time > Theoretical & mathematical astronomy

Buy Now

Statistical Methods for Astronomical Data Analysis (Hardcover, 2014 ed.) Loot Price: R4,673
Discovery Miles 46 730
Statistical Methods for Astronomical Data Analysis (Hardcover, 2014 ed.): Asis Kumar Chattopadhyay, Tanuka Chattopadhyay

Statistical Methods for Astronomical Data Analysis (Hardcover, 2014 ed.)

Asis Kumar Chattopadhyay, Tanuka Chattopadhyay

Series: Springer Series in Astrostatistics, 3

 (sign in to rate)
Loot Price R4,673 Discovery Miles 46 730 | Repayment Terms: R438 pm x 12*

Bookmark and Share

Expected to ship within 10 - 15 working days

This book introduces "Astrostatistics" as a subject in its own right with rewarding examples, including work by the authors with galaxy and Gamma Ray Burst data to engage the reader. This includes a comprehensive blending of Astrophysics and Statistics. The first chapter's coverage of preliminary concepts and terminologies for astronomical phenomenon will appeal to both Statistics and Astrophysics readers as helpful context. Statistics concepts covered in the book provide a methodological framework. A unique feature is the inclusion of different possible sources of astronomical data, as well as software packages for converting the raw data into appropriate forms for data analysis. Readers can then use the appropriate statistical packages for their particular data analysis needs. The ideas of statistical inference discussed in the book help readers determine how to apply statistical tests. The authors cover different applications of statistical techniques already developed or specifically introduced for astronomical problems, including regression techniques, along with their usefulness for data set problems related to size and dimension. Analysis of missing data is an important part of the book because of its significance for work with astronomical data. Both existing and new techniques related to dimension reduction and clustering are illustrated through examples. There is detailed coverage of applications useful for classification, discrimination, data mining and time series analysis. Later chapters explain simulation techniques useful for the development of physical models where it is difficult or impossible to collect data. Finally, coverage of the many R programs for techniques discussed makes this book a fantastic practical reference. Readers may apply what they learn directly to their data sets in addition to the data sets included by the authors.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Springer Series in Astrostatistics, 3
Release date: October 2014
First published: 2014
Authors: Asis Kumar Chattopadhyay • Tanuka Chattopadhyay
Dimensions: 235 x 155 x 20mm (L x W x T)
Format: Hardcover
Pages: 349
Edition: 2014 ed.
ISBN-13: 978-1-4939-1506-4
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Astronomy, space & time > Theoretical & mathematical astronomy
Books > Science & Mathematics > Physics > Applied physics & special topics > Astrophysics
LSN: 1-4939-1506-1
Barcode: 9781493915064

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners