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019 1016369002|a1018195357|a1018458053
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020 0309465303|q(electronic book)
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110 2 National Academies of Sciences, Engineering, and Medicine
(U.S.).|0https://id.loc.gov/authorities/names/no2015135192
|bPanel on Methods for Integrating Multiple Data Sources
to Improve Crop Estimates,|eauthor.
245 10 Improving crop estimates by integrating multiple data
sources /|cPanel 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.
264 1 Washington, D.C. :|bThe National Academies Press,|c2017.
264 4 |c©2017
300 1 online resource (xii, 134 pages) :|billustrations (some
color).
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
340 |gpolychrome|2rdacc
347 text file|2rdaft
490 1 A consensus study report of the National Academies of
Sciences, Engineering, Medicine
504 Includes bibliographical references (pages 103-110).
505 0 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.
520 1 "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.
588 0 Online resource; title from PDF title page (National
Academies Press, viewed March 5, 2018).
590 eBooks on EBSCOhost|bEBSCO eBook Subscription Academic
Collection - North America
650 0 Agricultural estimating and reporting|0https://id.loc.gov/
authorities/subjects/sh85002316|zUnited States.|0https://
id.loc.gov/authorities/names/n78095330-781
650 0 Agricultural estimating and reporting|0https://id.loc.gov/
authorities/subjects/sh85002316|zUnited States|0https://
id.loc.gov/authorities/names/n78095330-781|xInformation
resources.|0https://id.loc.gov/authorities/subjects/
sh99001160
650 0 Agricultural estimating and reporting|0https://id.loc.gov/
authorities/subjects/sh85002316|zUnited States|0https://
id.loc.gov/authorities/names/n78095330-781|vStatistics.
|0https://id.loc.gov/authorities/subjects/sh99001414
650 7 Agricultural estimating and reporting.|2fast|0https://
id.worldcat.org/fast/800751
650 7 Information resources.|2fast|0https://id.worldcat.org/fast
/972599
651 7 United States.|2fast|0https://id.worldcat.org/fast/1204155
655 4 Electronic books.
655 7 Statistics.|2fast|0https://id.worldcat.org/fast/1423727
655 7 Statistics.|2lcgft|0https://id.loc.gov/authorities/
genreForms/gf2014026181
700 1 Kirkendall, Nancy J.|q(Nancy Jean),|0https://id.loc.gov/
authorities/names/no2010162330|eeditor.
700 1 Bock, M. E.|q(Mary Ellen),|0https://id.loc.gov/authorities
/names/n92037581|eeditor.
710 2 National Academies of Sciences, Engineering, and Medicine
(U.S.).|bCommittee on National Statistics.|0https://
id.loc.gov/authorities/names/nb2016019866
710 2 National Academies of Sciences, Engineering, and Medicine
(U.S.).|bDivision of Behavioral and Social Sciences and
Education.|0https://id.loc.gov/authorities/names/
n2015190784
776 08 |iPrint version:|aPanel on Methods for Integrating
Multiple Data Sources to Improve Crop Estimates.
|tImproving crop estimates by integrating multiple data
sources.|dWashington, D.C. : The National Academies Press,
©2017|z9780309465298|w(OCoLC)1017854046
830 0 Consensus study report.|0https://id.loc.gov/authorities/
names/n2017188206
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
search.ebscohost.com/login.aspx?direct=true&scope=site&
db=nlebk&AN=1672343|zOnline eBook via EBSCO. Access
restricted to current Rider University students, faculty,
and staff.
856 42 |3Instructions for reading/downloading the EBSCO version
of this eBook|uhttp://guides.rider.edu/ebooks/ebsco
901 MARCIVE 20231220
948 |d20190118|cEBSCO|tEBSCOebooksacademic NEW 1-11-19 6702
|lridw
994 92|bRID
