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Statistical Challenges in Modern Astronomy

Overview of attention for book
Cover of 'Statistical Challenges in Modern Astronomy'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Surveys of Galaxy Redshifts
  3. Altmetric Badge
    Chapter 2 Some Statistical Problems in Cosmology
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    Chapter 3 Discussion by Suketu P. Bhavsar
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    Chapter 4 Discussion by Fred L. Bookstein
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    Chapter 5 Analysis of Patterns in Galaxy Clustering
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    Chapter 6 Discussion by Fred L. Bookstein
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    Chapter 7 Discussion by N.K. Bose
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    Chapter 8 Statistical Issues Concerning Quasar Absorption Line Systems
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    Chapter 9 Discussion by B.D Ripley
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    Chapter 10 Discussion by Kathryn Roeder
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    Chapter 11 Assessment of Subclustering in Clusters of Galaxies
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    Chapter 12 Discussion by J.A. Hartigan
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    Chapter 13 Discussion by Pranab K. Sen
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    Chapter 14 Limitations to the Method of Power Spectrum Analysis: Nonstationarity, Biased Estimators, and Weak Convergence to Normality
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    Chapter 15 Discussion by Timothy C. Beers
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    Chapter 16 Discussion by Pranab K. Sen
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    Chapter 17 Response by William I. Newman et al.
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    Chapter 18 General Discussion: Galaxy Clustering
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    Chapter 19 Luminosity Function of Flux-Limited Samples
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    Chapter 20 Discussion by Michael G. Akritas
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    Chapter 21 Discussion by Michael Woodroofe
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    Chapter 22 Eddington-Malmquist Bias, Streaming Motions, and the Distribution of Galaxies
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    Chapter 23 Discussion by Michael Woodroofe
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    Chapter 24 Censoring in Astronomical Data Due to Nondetections
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    Chapter 25 Discussion by P.J. Bickel and Y. Ritov
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    Chapter 26 Discussion by Walter Liggett
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    Chapter 27 Detecting and Measuring Sources at the Noise Limit
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    Chapter 28 Discussion by Leon Jay Gleser
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    Chapter 29 Discussion by Terry Speed
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    Chapter 30 Response by Herman L. Marshall
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    Chapter 31 Promise of Bayesian Inference for Astrophysics
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    Chapter 32 Discussion by Gutti Jogesh Babu
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    Chapter 33 Discussion by Mike West
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    Chapter 34 Response by Thomas J. Loredo
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    Chapter 35 Source Existence and Parameter Fitting When Few Counts Are Available
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    Chapter 36 Discussion by P.J. Bickel
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    Chapter 37 Discussion by Mike West
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    Chapter 38 Bayesian Methods of Deconvolution and Shape Classification
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    Chapter 39 Discussion by Fionn Murtagh
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    Chapter 40 Discussion by Nicholas Weir
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    Chapter 41 Aperiodic Time Series in Astronomy
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    Chapter 42 Quasiperiodic Phenomena in Accreting Binary Stars
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    Chapter 43 Discussion by Walter Liggett
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    Chapter 44 Search for Periodicities in High-Energy Gamma-Ray Astronomical Data
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    Chapter 45 Discussion Keith Ord
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    Chapter 46 Discussion by T. Subba Rao
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    Chapter 47 Chaotic Processes in Astronomical Data
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    Chapter 48 Discussion by Gary S. Shea
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    Chapter 49 Discussion by Terry Speed
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    Chapter 50 Response by Jeffrey D. Scargle
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    Chapter 51 General Discussion: Time Series
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    Chapter 52 Multivariate Analysis and Classification of Large Astronomical Databases
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    Chapter 53 Discussion by R. Gnanadesikan
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    Chapter 54 Discussion by J.A. Hartigan
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    Chapter 55 Response by Fionn Murtagh
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    Chapter 56 Physical Statistics
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    Chapter 57 Discussion by Leon Jay Gleser
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    Chapter 58 Discussion by Terry Speed
  60. Altmetric Badge
    Chapter 59 General Discussion: Working on the Interface Between Statistics and Astronomy
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

syllabi
1 institution with syllabi
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
6 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Statistical Challenges in Modern Astronomy
Published by
ADS, December 2012
DOI 10.1007/978-1-4613-9290-3
ISBNs
978-1-4613-9290-3, 978-1-4613-9292-7
Editors

Feigelson, Eric D., Babu, G. Jogesh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Student > Doctoral Student 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Physics and Astronomy 3 50%
Computer Science 1 17%
Mathematics 1 17%
Unknown 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 October 2018.
All research outputs
#6,442,211
of 22,886,568 outputs
Outputs from ADS
#8,102
of 37,402 outputs
Outputs of similar age
#67,328
of 278,690 outputs
Outputs of similar age from ADS
#114
of 577 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 37,402 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 278,690 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 577 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.