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The Conway-Maxwell-Poisson distribution /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The Conway-Maxwell-Poisson distribution /Kimberly F. Sellers.
Author:	Sellers, Kimberly F.,
Description:	1 online resource (xxiv, 330 pages) :illustrations.
Subject:	Distribution (Probability theory)
Online resource:	https://doi.org/10.1017/9781108646437
Online resource:	https://public.ebookcentral.proquest.com/choice/PublicFullRecord.aspx?p=7204727
Online resource:	https://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781108576345
Online resource:	https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3535086
ISBN:	9781108576345$q(electronic bk.)

The Conway-Maxwell-Poisson distribution /
Sellers, Kimberly F.,1973-

The Conway-Maxwell-Poisson distribution /Kimberly F. Sellers. - First edition. - 1 online resource (xxiv, 330 pages) :illustrations. - Institute of Mathematical Statistics monographs. - Institute of Mathematical Statistics monographs..

Includes bibliographical references and index.

"This is the first comprehensive introduction to the Conway-Maxwell-Poisson distribution and its contributions in statistical theory and computing in R, including its uses in count data modelling. An essential reference for academics in statistics and data science, as well as quantitative researchers and data analysts in applied disciplines"--

ISBN: 9781108576345$q(electronic bk.)

LCCN: 2022046615Subjects--Topical Terms:

182306
Distribution (Probability theory)

LC Class. No.: QA273.6 / .S43 2023eb

Dewey Class. No.: 519.2/4

The Conway-Maxwell-Poisson distribution /
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020 $a 9781108576345$q(electronic bk.)
020 $a 9781108646437$qelectronic book
020 $a 1108646433$qelectronic book
020 $a 1108576346$qelectronic book
020 $z 9781108481106$qhardcover
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035 $a (OCoLC)1369032133 $z (OCoLC)1371075042 $z (OCoLC)1371756239
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100 1 $a Sellers, Kimberly F., $d 1973- $e author. $3 966358
245 1 4 $a The Conway-Maxwell-Poisson distribution / $c Kimberly F. Sellers.
250 $a First edition.
264 1 $a Cambridge, United Kingdom ; $a New York, NY : $b Cambridge University Press, $c 2023.
264 4 $c ©2023
300 $a 1 online resource (xxiv, 330 pages) : $b illustrations.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
490 1 $a Institute of Mathematical Statistics monographs
504 $a Includes bibliographical references and index.
520 $a "This is the first comprehensive introduction to the Conway-Maxwell-Poisson distribution and its contributions in statistical theory and computing in R, including its uses in count data modelling. An essential reference for academics in statistics and data science, as well as quantitative researchers and data analysts in applied disciplines"-- $c Provided by publisher.
588 $a Description based on online resource; title from digital title page (Cambridge, viewed on January 23, 2024).
650 0 $a Distribution (Probability theory) $3 182306
650 0 $a R (Computer program language) $3 210846
650 6 $a Distribution (Théorie des probabilités) $3 966396
650 6 $a R (Langage de programmation) $3 943796
650 7 $a distribution (statistics-related concept) $2 aat $3 966360
776 0 8 $i Print version: $a Sellers, Kimberly F., 1973- $t Conway-Maxwell-Poisson distribution. $b First edition. $d Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2023 $z 9781108646437 $w (DLC) 2022046614
830 0 $a Institute of Mathematical Statistics monographs. $3 930625
856 4 0 $3 Cambridge University Press $u https://doi.org/10.1017/9781108646437
856 4 0 $z Click here to view book $u https://public.ebookcentral.proquest.com/choice/PublicFullRecord.aspx?p=7204727
856 4 0 $u https://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781108576345
856 4 0 $3 EBSCOhost $u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3535086
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https://doi.org/10.1017/9781108646437
https://public.ebookcentral.proquest.com/choice/PublicFullRecord.aspx?p=7204727
https://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781108576345
https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3535086

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