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Bootstrapping = an integrated approach with python and stata /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Bootstrapping/ Felix Bittmann.
其他題名:	an integrated approach with python and stata /
作者:	Bittmann, Felix.
出版者:	Berlin ;De Gruyter, : c2021.,
面頁冊數:	1 online resource (viii, 120 p.)
標題:	Bootstrap (Statistics). -
電子資源:	https://www.degruyter.com/isbn/9783110693348
ISBN:	9783110693348

Bootstrapping = an integrated approach with python and stata /
Bittmann, Felix.

Bootstrappingan 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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100 1 $a Bittmann, Felix. $3 3720242
245 1 0 $a Bootstrapping $h [electronic resource] : $b an integrated approach with python and stata / $c Felix Bittmann.
250 $a 1st ed.
260 $a Berlin ; $a Boston : $b De Gruyter, $c c2021.
300 $a 1 online resource (viii, 120 p.)
504 $a Includes bibliographical references.
505 0 0 $t Frontmatter -- $t Contents -- $t 1 Basic statistical concepts -- $t 2 Bootstrapping -- $t 3 Confidence intervals -- $t 4 Hypothesis testing -- $t 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 $a In English.
588 $a Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022)
650 0 $a Bootstrap (Statistics). $3 740956
650 0 $a Python (Computer program language). $3 767994
856 4 0 $u https://www.degruyter.com/isbn/9783110693348