| LDR | | 03133cmm u2200529Ki 4500 |
| 001 | | 000000312918 |
| 003 | | OCoLC |
| 005 | | 20230525153333 |
| 006 | | m d |
| 007 | | cr ||||||||||| |
| 008 | | 170208t20172017dcua o 000 0 eng d |
| 019 | |
▼a 972589474
▼a 972870680
▼a 972999433
▼a 973138266
▼a 973182818 |
| 020 | |
▼a 9780309450799
▼q (electronic bk.) |
| 020 | |
▼a 0309450799
▼q (electronic bk.) |
| 020 | |
▼z 9780309450782 |
| 020 | |
▼z 0309450780 |
| 035 | |
▼a 1470883
▼b (N$T) |
| 035 | |
▼a (OCoLC)971624331
▼z (OCoLC)972589474
▼z (OCoLC)972870680
▼z (OCoLC)972999433
▼z (OCoLC)973138266
▼z (OCoLC)973182818 |
| 040 | |
▼a SCB
▼b eng
▼e rda
▼c SCB
▼d OCLCO
▼d N$T
▼d YDX
▼d EBLCP
▼d N$T
▼d 248032 |
| 043 | |
▼a n-us--- |
| 049 | |
▼a MAIN |
| 050 | 4 |
▼a UA23.3 |
| 072 | 7 |
▼a HIS
▼x 027130
▼2 bisacsh |
| 072 | 7 |
▼a TEC
▼x 025000
▼2 bisacsh |
| 082 | 04 |
▼a 355.60973
▼2 23 |
| 110 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Committee on Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions,
▼e author. |
| 245 | 10 |
▼a Strengthening data science methods for Department of Defense personnel and readiness missions /
▼c Committee on Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions, Committee on Applied and Theoretical Statistics. Board on Mathematical Sciences and their Applications, Division on Engineering and Physical Sciences ; a report of the National Academies of Sciences, Engineering, Medicine. |
| 260 | |
▼a Washington, DC :
▼b the National Academies Press,
▼c [2017]. |
| 300 | |
▼a 1 online resource (xiv, 149 pages) :
▼b illustrations |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
▼2 rdamedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 504 | |
▼a Includes bibliographical references. |
| 505 | 0 |
▼a Introduction -- Overview of the Office of the Under Secretary of Defense (Personnel & Readiness) -- Personnel and readiness data and their use -- Overview of data science methods -- Privacy and confidentiality -- Commercial state of the art in human resources analytics -- Identifying P&R opportunities and implementing solutions -- Appendix A: Acronyms -- Appendix B: Biogrpahies of the Committee -- Appendix C: Meetings and presentations -- Appendix D: Stochastic models of uncertainty and mathematical optimization under uncertainty. |
| 588 | 0 |
▼a Title from PDF title page (National Academies Press, viewed February 8, 2017). |
| 590 | |
▼a Master record variable field(s) change: 050, 072, 082, 610 |
| 610 | 10 |
▼a United States.
▼b Department of Defense
▼x Information technology. |
| 650 | 7 |
▼a HISTORY / Military / Other
▼2 bisacsh |
| 650 | 7 |
▼a TECHNOLOGY & ENGINEERING / Military Science
▼2 bisacsh |
| 655 | 4 |
▼a Electronic books. |
| 655 | 0 |
▼a Electronic books. |
| 776 | 08 |
▼c Original
▼z 9780309450782
▼z 0309450780
▼w (OCoLC)962551836 |
| 856 | 40 |
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1470883 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 1470883 |
| 938 | |
▼a YBP Library Services
▼b YANK
▼n 13499844 |
| 938 | |
▼a EBL - Ebook Library
▼b EBLB
▼n EBL4803080 |
| 990 | |
▼a 관리자 |
| 994 | |
▼a 92
▼b N$T |