Statistical Methods for Astronomical Data Analysis: 3 (Springer Series in Astrostatistics, 3) - Image 1

Price loading...

Springer Statistical Methods for Astronomical Data Analysis: 3 (Springer Series in Astrostatistics, 3)

Name: Statistical Methods for Astronomical Data Analysis: 3 (Springer Series in Astrostatistics, 3)
Brand: Springer

Astronomy

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1493943545
Category: Books > Subjects > Science, Nature & Maths > Astronomy & Space Science > Astronomy
Domain: Amazon UK
Release Date: 30 April 2017
Listed Since: 23 March 2017

Barcode

No barcode data available

Springer Statistical Methods for Astronomical Data Analysis: 3 (Springer Series in Astrostatistics, 3)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Statistical Challenges in Astronomy

Statistical Physics for Cosmic Structures

Statistics of the Galaxy Distribution

Statistics -- Volume 3: Categorical and Time Dependent Data Analysis (Mathematics Research Developments)

Introduction to Methods of Approximation in Physics and Astronomy (Undergraduate Lecture Notes in Physics)

Interferometry and Synthesis in Radio Astronomy (Astronomy and Astrophysics Library)

Applied Statistics: Analysis of Variance and Regression: 365 (Wiley Series in Probability and Statistics)

Springer Statistical Physics for Cosmic Structures Book

Astrostatistics and Data Mining: 2 (Springer Series in Astrostatistics, 2)

Modern Mathematical Statistics with Applications (Springer Texts in Statistics)

CRC Press Advances in Machine Learning and Data Mining for Astronomy

Springer - Statistical Image Processing and Multidimensional Modeling

Statistical Learning from a Regression Perspective (Springer Texts in Statistics)

Statistical Learning from a Regression Perspective (Springer Texts in Statistics)

Springer Spatial Statistics and Modeling - Statistics Series

Information and On-Line Data in Astronomy: v. 203 (Astrophysics and Space Science Library)

Applications of Big Data and Machine Learning in Galaxy Formation and Evolution (Series in Astronomy and Astrophysics)

Tutorial Guide to X-ray and Gamma-ray Astronomy: Data Reduction and Analysis

Statistics in Medicine

Numerical Methods in Astrophysics: An Introduction (Series in Astronomy and Astrophysics)

Applied Statistics 3E: Analysis of Variance and Regression: 836 (Wiley Series in Probability and Statistics)

Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)

Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics)

An Introduction to Data Analysis in R: Hands-on Coding, Data Mining, Visualization and Statistics from Scratch (Use R!)