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Advances in business statistics, methods and data collection /
"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 metho...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, NJ :
John Wiley & Sons, Inc.,
2023.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 001 | OR_on1333085617 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
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| 010 | |a 2022017114 | ||
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| 015 | |a GBC399456 |2 bnb | ||
| 016 | 7 | |a 021049499 |2 Uk | |
| 020 | |a 9781119672326 |q electronic book | ||
| 020 | |a 1119672325 |q electronic book | ||
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| 020 | |a 1119672317 |q electronic book | ||
| 020 | |a 9781119672319 |q (electronic bk.) | ||
| 020 | |z 9781119672302 |q hardcover | ||
| 029 | 1 | |a AU@ |b 000073404413 | |
| 029 | 1 | |a UKMGB |b 021049499 | |
| 035 | |a (OCoLC)1333085617 | ||
| 037 | |a 9781119672302 |b O'Reilly Media | ||
| 050 | 0 | 4 | |a HF1017 |b .A347 2023 |
| 082 | 0 | 0 | |a 519.5 |2 23/eng/20220624 |
| 049 | |a UAMI | ||
| 245 | 0 | 0 | |a Advances in business statistics, methods and data collection / |c edited by Ger Snijkers [and 7 others]. |
| 264 | 1 | |a Hoboken, NJ : |b John Wiley & Sons, Inc., |c 2023. | |
| 264 | 4 | |c ©2023 | |
| 300 | |a 1 online resource (xxxvi, 856 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 and index. | ||
| 505 | 0 | 0 | |t Introduction / |r Ger Snijkers, Mojca Bavdaž, Stefan Bender, Jacqui Jones, Steve MacFeely, Joseph W. Sakshaug, Katherine Jenny Thompson, and Arnout van Delden -- |g Section 1: New Measures/Indicators for the Economy: |t The System of National Accounts: Past and Present / |r Steve MacFeely and Peter van der Ven. |t The System of National Accounts: Future Challenges / |r Peter van der Ven and Steve MacFeely. |t Bridging the Gap between Business- and Macro-economic Statistics: Methodological Considerations and Practical Solutions / |r Timo Koskimäki and Kristian Taskinen. |t Measuring Investment in Intangible Assets / |r Mojca Bavdaž, Ahmed Bounfour, Josh Martin, Alberto Nonnis, Giulio Perani, and Tjaša Redek. |t Measuring the US Digital Economy / |r Jessica Nicholson, David Wasshausen, and Thomas Howells. |t Establishment Base Informal Sector Statistics: An Endeavour of Measurement from Economic Census 2018 of Nepal / |r Mahesh Pradhan -- |g Section 2: Topics in the production of official establishment statistics: |t Statistical Producer Challenges and Help / |r Jacqui Jones and Holly O'Byrne. |t Statistical Business Registers in Indonesia and Australia / |r Willem Erasmus, Luisa Ryan, Ratih Putri Pertiwi, Radenroro Nefriana, and Imam Machdi. |t Managing Response Burden for Official Statistics Business Surveys: Experiences and Recent Developments at Statistics Netherlands, Statistics Portugal, and Statistics Sweden / |r Johan Erikson, Deirdre Giesen, Leanne Houben, and Paulo Saraiva dos Santos. |t Producing Official Statistics during the COVID-19 Pandemic / |r Jacqui Jones, Craig H. McLaren, Duncan Elliott, Dane Mead, Helen Baird, Joseph W. Sakshaug, Corinna Koenig, Marieke Volkert, Tanya Price, and Marie Apostolou -- |g Section 3: Topics in the use of administrative data: |t Methodology for the Use of Administrative Data in Business Statistics / |r Arnout van Delden and Danni Lewis. |t Developing Statistical Frameworks for Administrative Data and Integrating It into Business Statistics: Experiences from the UK and New Zealand / |r Nicholas Cox, Craig H. McLaren, Claire Shenton, Tom Tarling, and Ella Williams Davies. |t The Evolution of Integrating Administrative Data in Business Statistics in Ireland / |r Colin Hanley and Sorcha O'Callaghan -- |g Section 4: Topics in business survey data collection: |t Computerized Questionnaires within a Business Environment / |r Gustav Haraldsen. |t Tailoring the Design of a New Combined Business Survey to the Business Context: Process, Methods, and Lessons Learned / |r Ger Snijkers, Leanne Houben, and Fred Demollin. |t Advances in Question(naire) Development, Pretesting, and Evaluation / |r Diane K. Willimack, Amy E. Anderson Riemer, Melissa A. Cidade, Kathy Ott, and Heather Ridolfo. |t Using Paradata to Monitor and Evaluate Electronic Business Survey Questionnaires / |r Ger Snijkers, Susan Demedash, and Jessica Andrews. |t Experiments in Business Surveys / |r Josh Langeland, Heather Ridolfo, Jaki McCarthy, Kathy Ott, Doug Kilburg , Karen CyBulski, Melissa Krakowiecki, Larry Vittoriano, Matt Potts, Benjamin Küfner, Joseph W. Sakshaug, and Stefan Zins. |t Web Portals for Reporting Businesses / |r Bente Hole and Leanne Houben. |t A Creative Approach to Promoting Survey Response / |r Charles F. Brady and Kari L. Klinedinst -- |g Section 5: Topics in the use of new data sources and new technologies: |t Statistical Data Production in a Digitised Age: The Need to Establish Successful Workflows for Micro Data Access / |r Stefan Bender, Jannick Blaschke, and Christian Hirsch. |t Machine Learning in German Official Statistics / |r Florian Dumpert. |t Six Years of Machine Learning in the U.S. Bureau of Labor Statistics / |r Alexander Measure. |t Using Machine Learning to Classify Products for the US Commodity Flow Survey / |r Christian Moscardi and Benjamin Schultz. |t Alternative Data Sources in the US Census Bureau's Monthly State Retail Sales Data Product / |r Rebecca Hutchinson, Scott Scheleur, and Deanna Weidenhamer -- |g Section 6: Topics in sampling and estimation: |t Introduction to Sampling and Estimation for Business Surveys / |r Paul A. Smith and Wesley Yung. |t Sample Coordination Methods and Systems for Establishment Surveys / |r Alina Matei and Paul A. Smith. |t Variance Estimation for Probability and Nonprobability Establishment Surveys: an Overview / |r Jill A. Dever and Dan Liao. |t Bayesian Methods Applied to Small Area Estimation for Establishment Statistics / |r Paul A. Parker, Ryan Janicki, and Scott H. Holan. |t Variance estimation under Nearest Neighbour Hot Deck Imputation for Multinomial Data: Two approaches Applied to the US Service Annual Survey (SAS) / |r Rebecca Andridge, Jae-Kwang Kim, and Katherine Jenny Thompson. |t Minimizing Revisions for a Monthly Economic Indicator / |r Nicole Czaplicki, Stephen Kaputa, and Laura Bechtel -- |g Section 7: Topics in data integration/merging: |t Record Linkage for Establishments: Background, Challenges, and an Example / |r Michael D. Larsen and Alan Herning. |t Methods for Estimating the Quality of Multisource Statistics / |r Arnout van Delden, Sander Scholtus, Ton de Waal, and Irene Csorba. |t Adopting Previously Reported Data into the 2022 US Census of Agriculture: Lessons Learned from the 2020 US Agricultural Production Survey / |r Linda J. Young, Joseph B. Rodhouse, Zachary Terner, and Gavin Corral. |t Integrating Alternative and Administrative Data into the Monthly Business Statistics: Some Applications from Statistics Canada / |r Marie-Claude Duval, Richard Laroche, and Sébastien Landry. |
| 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"-- |c Provided by publisher. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on February 01, 2023). | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Commercial statistics |x Methodology. | |
| 650 | 0 | |a Industrial management |x Statistical methods. | |
| 650 | 0 | |a Statistical services. | |
| 650 | 7 | |a Commercial statistics |x Methodology. |2 fast |0 (OCoLC)fst00869646 | |
| 650 | 7 | |a Industrial management. |2 fast |0 (OCoLC)fst00971246 | |
| 650 | 7 | |a Statistical services. |2 fast |0 (OCoLC)fst01132083 | |
| 700 | 1 | |a Snijkers, Ger, |d 1963- |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Advances in business statistics, methods and data collection |d Hoboken, NJ : Wiley, 2022 |z 9781119672302 |w (DLC) 2022017113 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781119672302/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH41194683 | ||
| 938 | |a YBP Library Services |b YANK |n 304456432 | ||
| 938 | |a EBSCOhost |b EBSC |n 3538350 | ||
| 994 | |a 92 |b IZTAP | ||