MARC보기
LDR05016cmm u2200637Ii 4500
001000000312192
003OCoLC
00520230525151715
006m d
007cr cnu---unuuu
008180106t20172017dcua obs 000 0 eng d
019 ▼a 1016369002 ▼a 1018195357 ▼a 1018458053
020 ▼a 9780309465304 ▼q (electronic bk.)
020 ▼a 0309465303 ▼q (electronic bk.)
020 ▼z 9780309465298
020 ▼z 030946529X
035 ▼a 1672343 ▼b (N$T)
035 ▼a (OCoLC)1018231574 ▼z (OCoLC)1016369002 ▼z (OCoLC)1018195357 ▼z (OCoLC)1018458053
040 ▼a EBLCP ▼b eng ▼e rda ▼e pn ▼c EBLCP ▼d YDX ▼d MERUC ▼d N$T ▼d UAB ▼d OCLCO ▼d N$T ▼d COO ▼d CUS ▼d IDB ▼d CUS ▼d OCLCF ▼d INT ▼d OCLCQ ▼d OCLCO ▼d 248032
043 ▼a n-us---
049 ▼a MAIN
050 4 ▼a S494.5.E8
072 7 ▼a BUS ▼x 070000 ▼2 bisacsh
08204 ▼a 338.10973 ▼2 23
1102 ▼a National Academies of Sciences, Engineering, and Medicine (U.S.). ▼b Panel on Methods for Integrating Multiple Data Sources to Improve Crop Estimates, ▼e author.
24510 ▼a Improving crop estimates by integrating multiple data sources / ▼c Panel on Methods for Integrating Multiple Data Sources to Improve Crop Estimates ; Mary Ellen Bock and Nancy J. Kirkendall, editors ; Committee on National Statistics, Division of Behavioral and Social Sciences and Education.
260 ▼a Washington, D.C. : ▼b The National Academies Press, ▼c 2017.
300 ▼a 1 online resource (xii, 134 pages) : ▼b illustrations (some color).
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
4901 ▼a A consensus study report of the National Academies of Sciences, Engineering, Medicine
504 ▼a Includes bibliographical references (pages 103-110).
5050 ▼a Introduction -- A vision of NASS in 2025 -- Multiple data sources for crops : challenges and opportunities -- Sources of data for cash rents -- Implementing the vision and beyond -- References -- Appendixes.
5201 ▼a "The National Agricultural Statistics Service (NASS) is the primary statistical data collection agency within the U.S. Department of Agriculture (USDA). NASS conducts hundreds of surveys each year and prepares reports covering virtually every aspect of U.S. agriculture. Among the small-area estimates produced by NASS are county-level estimates for crops (planted acres, harvested acres, production, and yield by commodity) and for cash rental rates for irrigated cropland, nonirrigated cropland, and permanent pastureland. Key users of these county-level estimates include USDA's Farm Services Agency (FSA) and Risk Management Agency (RMA), which use the estimates as part of their processes for distributing farm subsidies and providing farm insurance, respectively. Improving Crop Estimates by Integrating Multiple Data Sources assesses county-level crop and cash rents estimates, and offers recommendations on methods for integrating data sources to provide more precise county-level estimates of acreage and yield for major crops and of cash rents by land use. This report considers technical issues involved in using the available data sources, such as methods for integrating the data, the assumptions underpinning the use of each source, the robustness of the resulting estimates, and the properties of desirable estimates of uncertainty"--Publisher's description.
5880 ▼a Online resource; title from PDF title page (National Academies Press, viewed March 5, 2018).
590 ▼a Master record variable field(s) change: 650
650 0 ▼a Agricultural estimating and reporting ▼z United States.
650 0 ▼a Agricultural estimating and reporting ▼z United States ▼x Information resources.
650 0 ▼a Agricultural estimating and reporting ▼z United States ▼v Statistics.
650 7 ▼a BUSINESS & ECONOMICS ▼x Industries ▼x General. ▼2 bisacsh
650 7 ▼a Agricultural estimating and reporting. ▼2 fast ▼0 (OCoLC)fst00800751
651 7 ▼a United States. ▼2 fast ▼0 (OCoLC)fst01204155
655 4 ▼a Electronic books.
655 7 ▼a Statistics. ▼2 fast ▼0 (OCoLC)fst01423727
7001 ▼a Kirkendall, Nancy J. ▼q (Nancy Jean), ▼e editor.
7001 ▼a Bock, M. E. ▼q (Mary Ellen), ▼e editor.
7102 ▼a National Academies of Sciences, Engineering, and Medicine (U.S.). ▼b Committee on National Statistics.
7102 ▼a National Academies of Sciences, Engineering, and Medicine (U.S.). ▼b Division of Behavioral and Social Sciences and Education.
77608 ▼i Print version: ▼a Panel on Methods for Integrating Multiple Data Sources to Improve Crop Estimates. ▼t Improving crop estimates by integrating multiple data sources. ▼d Washington, D.C. : The National Academies Press, 짤2017 ▼z 9780309465298 ▼w (OCoLC)1017854046
830 0 ▼a Consensus study report.
85640 ▼3 EBSCOhost ▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1672343
938 ▼a EBL - Ebook Library ▼b EBLB ▼n EBL5210793
938 ▼a EBSCOhost ▼b EBSC ▼n 1672343
938 ▼a YBP Library Services ▼b YANK ▼n 15079133
990 ▼a 관리자
994 ▼a 92 ▼b N$T