Coverart for item
The Resource Statistical Methods for Astronomical Data Analysis, by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay, (electronic resource)

Statistical Methods for Astronomical Data Analysis, by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay, (electronic resource)

Label
Statistical Methods for Astronomical Data Analysis
Title
Statistical Methods for Astronomical Data Analysis
Statement of responsibility
by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
Creator
Contributor
Author
Subject
Language
eng
Summary
This book introduces zAstrostatisticsy 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
Member of
http://library.link/vocab/creatorName
Chattopadhyay, Asis Kumar
Image bit depth
0
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Chattopadhyay, Tanuka.
  • SpringerLink (Online service)
Series statement
Springer Series in Astrostatistics,
Series volume
3
http://library.link/vocab/subjectName
  • Statistics
  • Astronomy
  • Astrophysics
  • Cosmology
Label
Statistical Methods for Astronomical Data Analysis, by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=http://dx.doi.org/10.1007/978-1-4939-1507-1
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier.
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent.
Contents
Introduction to Astrophysics -- Introduction to Statistics -- Sources of Astronomical Data -- Statistical Inference -- Advanced Regression and its Application with Measurement Error -- Missing Observations and Imputation -- Dimension Reduction and Clustering -- Clustering, Classification and Data Mining -- Time Series Analysis -- Monte Carlo Simulation -- Uses of Softwares -- Appendix
Control code
978-1-4939-1507-1
Dimensions
unknown
Extent
XIII, 349 p. 64 illus., 46 illus. in color.
File format
multiple file formats
Form of item
electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9781493915071
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia.
Media type code
c
Other control number
10.1007/978-1-4939-1507-1
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1086465604
Label
Statistical Methods for Astronomical Data Analysis, by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=http://dx.doi.org/10.1007/978-1-4939-1507-1
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier.
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent.
Contents
Introduction to Astrophysics -- Introduction to Statistics -- Sources of Astronomical Data -- Statistical Inference -- Advanced Regression and its Application with Measurement Error -- Missing Observations and Imputation -- Dimension Reduction and Clustering -- Clustering, Classification and Data Mining -- Time Series Analysis -- Monte Carlo Simulation -- Uses of Softwares -- Appendix
Control code
978-1-4939-1507-1
Dimensions
unknown
Extent
XIII, 349 p. 64 illus., 46 illus. in color.
File format
multiple file formats
Form of item
electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9781493915071
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia.
Media type code
c
Other control number
10.1007/978-1-4939-1507-1
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1086465604

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