000			06473cam a22005058i 4500
001			22512965
003			CSPC
005			20260721113724.0
008			220418t20222022nju b 001 0 eng c
010			_a 2022017113
020			_a9781119672302 _q(cloth)
035			_a22512965
040			_aMdU/DLC _beng _erda _cMdU _dCSPC
042			_apcc
050	0	0	_aHF1017 _b.A347 2022
082	0	0	_a519.5 _bAd955 _223/eng/20220624
245	0	0	_aAdvances in business statistics, methods and data collection / _cedited by Ger Snijkers, [and 7 others].
263			_a2207
264		1	_aHoboken, New Jersey : _bJohn Wiley & Sons, Inc., _c2023.
300			_axxxvi, 856 pages ; _c26 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aSection 1. Introduction to new measures/indicators for the economy -- Advances in business statistics, methods and collection: introduction -- GDP and the SNA: past and present -- GDP and the SNA: future challenges -- Bridging the gap between business and macro-economic statistics: methodological considerations and practical solutions -- Measuring investment in intangible assets -- Measuring the US digital economy -- Establishment base informal sector statistics: an endeavor of measurement from economic census 2018 of Nepal -- Section 2. Topics in the production of official establishment statistics and organizational frameworks -- Statistical producer challenges and help -- The development and maintenance of statistical business registers as statistical infrastructure in statistics Indonesia and the Australian bureau of statistics -- Managing response burden for official statistics business surveys - experiences and recent developments at statistics Netherlands, statistics Portugal, and statistics Sweden -- Producing official statistics during the COVID-19 pandemic -- Section 3. Topics in the use of administrative data -- Methodology for the use of administrative data in business statistics -- Developing statistical frameworks for administrative data and integrating it into business statistics. Experiences from the UK and New Zealand -- The evolution of integrating administrative data in business statistics in Ireland -- Section 4. Topics in business survey data collection -- What computerized business questionnaires and questionnaire management tools can offer -- Tailoring the design of a new combined business survey: process, methods, and lessons learned -- Advances in question(naire) development, pretesting, and evaluation -- Using paradata tin electronic business survey questionnaires -- Recent findings from experiments in establishment surveys -- Web portals for Business data collection -- A creative approach to promoting survey response -- Section 5. Topics in the use of new data sources and new technologies -- Statistical data production in a digitised age: the need to establish successful workflows for micro data access -- Machine learning in German official statistics -- Six years of machine learning in the bureau of labor statistics -- Using machine learning to classify products for the commodity flow survey -- Alternative data sources in the census bureau's monthly state retail sales data product -- Section 6. Topics in sampling and estimation -- Introduction to sampling and estimation for business surveys -- Sample coordination methods and systems for establishment surveys -- Variance estimation for probability and nonprobability establishment surveys: an overview -- Bayesian methods applied to small area estimation for establishment statistics -- Variance estimation under nearest neighbor ratio hot deck imputation for multinomial data: two approaches applied to the service annual survey (SAS) -- Minimizing revisions for a monthly economic indicator -- Section 7. Topics in data integration, linking and matching -- Record linkage for establishments: background, challenges, and an example -- Methods for estimating the quality of multisource statistics -- Adopting previously reported data into the 2022 census of agriculture: lessons learned from the 2020 September agricultural survey -- Integrating alternative and administrative data into the monthly business statistics: some applications from statistics Canada.
520			_a"The latest developments in the production of business statistics, methods, and data collection In Advances in Business Statistics, Methods and Data Collection, distinguished researcher Dr. Ger Snijkers delivers an invaluable collection of new issues in business statistics, as well as its methods, and in the collection of business data. This edited volume offers new developments in business surveys--including discussions of non-probability sampling and web surveys--and statistical process control, the use of secondary data sources, register methodology, and possibilities presented by the Internet of Things. The included works present some of the most innovative and impactful developments in the optimization of the development, conduct, and evaluation of modern business programs. These include advancements in big data, machine learning, and advanced visualization. Providing a broad overview of the most up-to-date changes in business statistics and data, this book challenges the status quo and prepares researchers for future challenges"-- _cProvided by publisher.
650		0	_aCommercial statistics _xMethodology.
650		0	_aIndustrial management _vStatistical methods.
650		0	_aStatistical services.
700	1		_aSnijkers, Ger, _eeditor.
700	1		_aBavdaž, Mojca, _eeditor.
700	1		_aBender, Stefan, _eeditor.
700	1		_aJones, Jacqui, _eeditor.
700	1		_aMacFreely, Steve, _eeditor.
700	1		_aSakchaug, Joseph W., _eeditor.
700	1		_aThompson, Katherine J., _eeditor.
700	1		_aDelden, Arnout van, _eeditor.
710	2		_aAmerican Statistical Association, _ecompiler.
710	2		_aJohn Wiley & Sons, _epublisher.
776	0	8	_iOnline version: _tAdvances in business statistics, methods and data collection _dHoboken, NJ : Wiley, 2022 _z9781119672319 _w(DLC) 2022017114
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _e23 _h519.5 _iAd955 _kGRD _m2023 _n0
999			_c32697 _d32697