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Foundations of statistics for data scientists :with R and Python /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Foundations of statistics for data scientists :Alan Agresti and Maria Kateri.
Reminder of title:	with R and Python /
Author:	Agresti, Alan,
other author:	Kateri, Maria,
Published:	Boca Raton :CRC Press, Taylor & Francis Group,2022.
Description:	xvii, 467 p. :ill. (some col.) ;27 cm.
Subject:	Mathematical analysisStatistical methods.
ISBN:	9780367748456 :

Foundations of statistics for data scientists :with R and Python /
Agresti, Alan,

Foundations of statistics for data scientists :with R and Python /Alan Agresti and Maria Kateri. - 1st ed. - Boca Raton :CRC Press, Taylor & Francis Group,2022. - xvii, 467 p. :ill. (some col.) ;27 cm. - Chapman & Hall/CRC texts in statistical science series. - Texts in statistical science..

Includes bibliographical references (p. 447-448) and index.

Introduction to statistical science -- Probability distributions -- Sampling distributions -- Statistical inference : estimation -- Statistical inference : significance testing -- Linear models and least squares -- Generalized linear models -- Classification and clustering -- Statistical science : a historical overview -- Appendix A : Using R in statistical science -- Appendix B : Using Python in statistical science -- Appendix C : Brief solutions to exercises.

ISBN: 9780367748456 :NT$3185

LCCN: 2021019163

Nat. Bib. No.: GBC1D5040bnb

Nat. Bib. Agency Control No.: 020297759UkSubjects--Topical Terms:

919072
Mathematical analysis
--Statistical methods.

LC Class. No.: QA276.4 / .A32 2022

Dewey Class. No.: 519.50285/536

Foundations of statistics for data scientists :with R and Python /
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245 1 0 $a Foundations of statistics for data scientists : $b with R and Python / $c Alan Agresti and Maria Kateri.
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300 $a xvii, 467 p. : $b ill. (some col.) ; $c 27 cm.
490 1 $a Chapman & Hall/CRC texts in statistical science series
504 $a Includes bibliographical references (p. 447-448) and index.
505 0 $a Introduction to statistical science -- Probability distributions -- Sampling distributions -- Statistical inference : estimation -- Statistical inference : significance testing -- Linear models and least squares -- Generalized linear models -- Classification and clustering -- Statistical science : a historical overview -- Appendix A : Using R in statistical science -- Appendix B : Using Python in statistical science -- Appendix C : Brief solutions to exercises.
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700 1 $a Kateri, Maria, $e author. $3 989906
776 0 8 $i Online version: $a Agresti, Alan. $t Foundations of statistics for data scientists. $b First edition. $d Boca Raton, FL : A Chapman & Hall Book, CRC Press, 2022 $z 9781003159834 $w (DLC) 2021019164 $w (OCoLC)1262692099
830 0 $a Texts in statistical science. $3 205786