Contributions to machine learning and psychometrics : computational, graphical, and statistical methods for assessing stability
(eBook)

Book Cover
Average Rating
Published
G©œttingen, [Germany] : Cuvillier Verlag, 2017.
Edition
1. Auflage.
Physical Desc
1 online resource (155 pages) : illustrations
Status

More Details

Format
eBook
Language
English
ISBN
9783736984479 (e-book)

Notes

Bibliography
Includes bibliographical references.
Local note
Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

Description

Loading Description...

Also in this Series

Checking series information...

More Like This

Loading more titles like this title...

Reading Recommendations & More

Reviews from GoodReads

Loading GoodReads Reviews.

Citations

APA Citation, 7th Edition (style guide)

Philipp, M. (2017). Contributions to machine learning and psychometrics: computational, graphical, and statistical methods for assessing stability (1. Auflage.). Cuvillier Verlag.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Philipp, Michel. 2017. Contributions to Machine Learning and Psychometrics: Computational, Graphical, and Statistical Methods for Assessing Stability. Cuvillier Verlag.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Philipp, Michel. Contributions to Machine Learning and Psychometrics: Computational, Graphical, and Statistical Methods for Assessing Stability Cuvillier Verlag, 2017.

MLA Citation, 9th Edition (style guide)

Philipp, Michel. Contributions to Machine Learning and Psychometrics: Computational, Graphical, and Statistical Methods for Assessing Stability 1. Auflage., Cuvillier Verlag, 2017.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

Staff View

Grouped Work ID
150854d2-6dea-87ef-d96e-50cf169d8300-eng
Go To Grouped Work

Grouping Information

Grouped Work ID150854d2-6dea-87ef-d96e-50cf169d8300-eng
Full titlecontributions to machine learning and psychometrics computational graphical and statistical methods for assessing stability
Authorphilipp michel
Grouping Categorybook
Last Update2022-06-07 21:23:19PM
Last Indexed2024-06-15 02:33:00AM

Book Cover Information

Image Sourcesyndetics
First LoadedMar 20, 2024
Last UsedMar 20, 2024

Marc Record

First DetectedJan 04, 2022 10:58:05 AM
Last File Modification TimeJan 04, 2022 10:58:05 AM

MARC Record

LEADER02209nam a2200445 i 4500
001EBC5023523
003MiAaPQ
00520200520144314.0
006m     o  d |      
007cr cnu||||||||
008171002t20172017gw a    ob    000 0 eng d
020 |z 9783736994478
020 |a 9783736984479 (e-book)
035 |a (MiAaPQ)EBC5023523
035 |a (Au-PeEL)EBL5023523
035 |a (CaPaEBR)ebr11436238
035 |a (OCoLC)1003261924
040 |a MiAaPQ|b eng|c MiAaPQ|d MiAaPQ|e rda|e pn
050 4|a Q325.5|b .P455 2017
0820 |a 006.31|2 23
1001 |a Philipp, Michel,|e author.
24510|a Contributions to machine learning and psychometrics :|b computational, graphical, and statistical methods for assessing stability /|c Michel Philipp.
250 |a 1. Auflage.
264 1|a G©œttingen, [Germany] :|b Cuvillier Verlag,|c 2017.
264 4|c ©2017
300 |a 1 online resource (155 pages) :|b illustrations
336 |a text|2 rdacontent
337 |a computer|2 rdamedia
338 |a online resource|2 rdacarrier
504 |a Includes bibliographical references.
588 |a Description based on online resource; title from PDF title page (ebrary, viewed October 2, 2017).
590 |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650 0|a Machine learning.
650 0|a Psychometrics.
655 4|a Electronic books.
77608|i Print version:|a Philipp, Michel.|t Contributions to machine learning and psychometrics : computational, graphical, and statistical methods for assessing stability.|b 1. Auflage.|d G©œttingen, [Germany] : Cuvillier Verlag, c2017 |h x, 138 pages |z 9783736994478
7972 |a ProQuest (Firm)
85640|u http://ebookcentral.proquest.com/lib/yavapai-ebooks/detail.action?docID=5023523|x Yavapai College|y Yavapai College users click here
85640|u http://ebookcentral.proquest.com/lib/prescottcollege-ebooks/detail.action?docID=5023523|x Prescott College|y Prescott College users click here
85640|u http://ebookcentral.proquest.com/lib/yln-ebooks/detail.action?docID=5023523|x Yavapai Library Network|y All other users click here