Nearest neighbor methods for the imputation of missing values in low and high-dimensional data
(eBook)
Author
Published
Gottingen : Cuvillier Verlag, 2018.
Physical Desc
1 online resource (219 pages)
Status
More Details
Format
eBook
Language
English
ISBN
9783736987418 (e-book)
Notes
Local note
Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
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Citations
APA Citation, 7th Edition (style guide)
Faisal, S. (2018). Nearest neighbor methods for the imputation of missing values in low and high-dimensional data . Cuvillier Verlag.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Faisal, Shahla. 2018. Nearest Neighbor Methods for the Imputation of Missing Values in Low and High-dimensional Data. Cuvillier Verlag.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Faisal, Shahla. Nearest Neighbor Methods for the Imputation of Missing Values in Low and High-dimensional Data Cuvillier Verlag, 2018.
MLA Citation, 9th Edition (style guide)Faisal, Shahla. Nearest Neighbor Methods for the Imputation of Missing Values in Low and High-dimensional Data Cuvillier Verlag, 2018.
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.
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Grouped Work ID
22a6de16-2d59-4036-17f7-d2d8dbf3e960-eng
Grouping Information
| Grouped Work ID | 22a6de16-2d59-4036-17f7-d2d8dbf3e960-eng |
|---|---|
| Full title | nearest neighbor methods for the imputation of missing values in low and high dimensional data |
| Author | faisal shahla |
| Grouping Category | book |
| Last Update | 2023-02-08 15:37:15PM |
| Last Indexed | 2024-04-30 02:43:04AM |
Book Cover Information
| Image Source | coce_google_books |
|---|---|
| First Loaded | Mar 21, 2023 |
| Last Used | Apr 13, 2024 |
Marc Record
| First Detected | Feb 08, 2023 03:39:35 PM |
|---|---|
| Last File Modification Time | Feb 08, 2023 03:39:35 PM |
MARC Record
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| 300 | |a 1 online resource (219 pages) | ||
| 336 | |a text|b txt|2 rdacontent | ||
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| 588 | |a Description based on print version record. | ||
| 590 | |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
| 650 | 0 | |a German literature. | |
| 655 | 4 | |a Electronic books. | |
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| 797 | 2 | |a ProQuest (Firm) | |
| 856 | 4 | 0 | |u http://ebookcentral.proquest.com/lib/yavapai-ebooks/detail.action?docID=5789071|x Yavapai College|y Yavapai College users click here |
| 856 | 4 | 0 | |u http://ebookcentral.proquest.com/lib/prescottcollege-ebooks/detail.action?docID=5789071|x Prescott College|y Prescott College users click here |
| 856 | 4 | 0 | |u http://ebookcentral.proquest.com/lib/yln-ebooks/detail.action?docID=5789071|x Yavapai Library Network|y All other users click here |
