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Topics at the frontier of statistics and network analysis(re)visiting the foundations /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Topics at the frontier of statistics and network analysisEric D. Kolaczyk.
Reminder of title:	(re)visiting the foundations /
Author:	Kolaczyk, Eric D.
Published:	Cambridge :Cambridge University Press,2017.
Description:	xii, 124 p. :ill., digital ;24 cm.
Notes:	Title from publisher's bibliographic system (viewed on 29 May 2018).
Subject:	System analysisStatistical methods.
Online resource:	https://doi.org/10.1017/9781108290159
ISBN:	9781108290159$q(electronic bk.)

Topics at the frontier of statistics and network analysis(re)visiting the foundations /
Kolaczyk, Eric D.

Topics at the frontier of statistics and network analysis(re)visiting the foundations /[electronic resource] :Eric D. Kolaczyk. - Cambridge :Cambridge University Press,2017. - xii, 124 p. :ill., digital ;24 cm. - Cambridge elements. SemStat elements,2398-404X. - Cambridge elements.SemStat elements..

Title from publisher's bibliographic system (viewed on 29 May 2018).

1. Background and overview -- 2. Network modeling -- 3. Sampling networks -- 4. Networked experiments -- 5. Emerging topic areas -- Appendix background on graphs.

This snapshot of the current frontier of statistics and network analysis focuses on the foundational topics of modeling, sampling, and design. Primarily for graduate students and researchers in statistics and closely related fields, emphasis is not only on what has been done, but on what remains to be done.

ISBN: 9781108290159$q(electronic bk.)Subjects--Topical Terms:

348633
System analysis
--Statistical methods.

LC Class. No.: QA402 / .K65 2017

Dewey Class. No.: 519.5

Topics at the frontier of statistics and network analysis(re)visiting the foundations /
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505 0 $a 1. Background and overview -- 2. Network modeling -- 3. Sampling networks -- 4. Networked experiments -- 5. Emerging topic areas -- Appendix background on graphs.
520 $a This snapshot of the current frontier of statistics and network analysis focuses on the foundational topics of modeling, sampling, and design. Primarily for graduate students and researchers in statistics and closely related fields, emphasis is not only on what has been done, but on what remains to be done.
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