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Bootstrapping = an integrated approach with python and stata /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Bootstrapping/ Felix Bittmann.
Reminder of title:
an integrated approach with python and stata /
Author:
Bittmann, Felix.
Published:
Berlin ;De Gruyter, : c2021.,
Description:
1 online resource (viii, 120 p.)
Subject:
Bootstrap (Statistics). -
Online resource:
https://www.degruyter.com/isbn/9783110693348
ISBN:
9783110693348
Bootstrapping = an integrated approach with python and stata /
Bittmann, Felix.
Bootstrapping
an integrated approach with python and stata /[electronic resource] :Felix Bittmann. - 1st ed. - Berlin ;De Gruyter,c2021. - 1 online resource (viii, 120 p.)
Includes bibliographical references.
Frontmatter --
Bootstrapping is a conceptually simple statistical technique to increase the quality of estimates, conduct robustness checks and compute standard errors for virtually any statistic. This book provides an intelligible and compact introduction for students, scientists and practitioners. It not only gives a clear explanation of the underlying concepts but also demonstrates the application of bootstrapping using Python and Stata.
Mode of access: Internet via World Wide Web.
In English.
ISBN: 9783110693348
Standard No.: 10.1515/9783110693348doiSubjects--Topical Terms:
740956
Bootstrap (Statistics).
LC Class. No.: QA276.8 / .B58 2021
Dewey Class. No.: 519.5/44
Bootstrapping = an integrated approach with python and stata /
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Bootstrapping
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[electronic resource] :
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an integrated approach with python and stata /
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Felix Bittmann.
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1st ed.
260
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Berlin ;
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Boston :
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De Gruyter,
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c2021.
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1 online resource (viii, 120 p.)
504
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Includes bibliographical references.
505
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Frontmatter --
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Contents --
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1 Basic statistical concepts --
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2 Bootstrapping --
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3 Confidence intervals --
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4 Hypothesis testing --
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5 Regression models --
$t
6 Applied programming examples --
$t
Bibliography.
520
$a
Bootstrapping is a conceptually simple statistical technique to increase the quality of estimates, conduct robustness checks and compute standard errors for virtually any statistic. This book provides an intelligible and compact introduction for students, scientists and practitioners. It not only gives a clear explanation of the underlying concepts but also demonstrates the application of bootstrapping using Python and Stata.
530
$a
Issued also in print.
538
$a
Mode of access: Internet via World Wide Web.
546
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In English.
588
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Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022)
650
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Bootstrap (Statistics).
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740956
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Python (Computer program language).
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https://www.degruyter.com/isbn/9783110693348
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1
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W9493778
電子資源
11.線上閱覽_V
電子書
EB QA276.8 .B58 2021
一般使用(Normal)
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1 records • Pages 1 •
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