Brian c moyer (50 risultati)
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Editore: University of Chicago Press, 2022
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Big Data for Twenty-first-century Economic Statistics
Abraham, Katharine G. (EDT); Jarmin, Ron S. (EDT); Moyer, Brian C. (EDT); Shapiro, Matthew D. (EDT)
Lingua: Inglese
Editore: University of Chicago Press, 2022
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Hardcover. Condizione: new. Hardcover. The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together… with administrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Datasuch as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellershas changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. This volume documents progress made toward that goal and the challenges to be overcome to realize the full potential of Big Data in the production of economic statistics. It describes the deployment of Big Data to solve both existing and novel challenges in economic measurement, and it will be of interest to statistical agency staff, academic researchers, and serious users of economic statistics. The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: The University of Chicago Press, 2022
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Condizione: New. 2022. Hardcover. . . . . .
Lingua: Inglese
Editore: University of Chicago Press, 2022
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Big Data for Twenty-first-century Economic Statistics
Abraham, Katharine G. (EDT); Jarmin, Ron S. (EDT); Moyer, Brian C. (EDT); Shapiro, Matthew D. (EDT)
Lingua: Inglese
Editore: University of Chicago Press, 2022
Serie: Libro 2 di 18 - National Bureau of Economic Research Studies in Income and Wealth
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Big Data for Twenty-First-Century Economic Statistics (Volume 79) (National Bureau of Economic Research Studies in Income and Wealth)
Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, Matthew D. Shapiro
Lingua: Inglese
Editore: University of Chicago Press 2022-03-11, 2022
Serie: Libro 2 di 18 - National Bureau of Economic Research Studies in Income and Wealth
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Big Data for Twenty-first-century Economic Statistics
Abraham, Katharine G. (EDT); Jarmin, Ron S. (EDT); Moyer, Brian C. (EDT); Shapiro, Matthew D. (EDT)
Lingua: Inglese
Editore: University of Chicago Press, 2022
Serie: Libro 2 di 18 - National Bureau of Economic Research Studies in Income and Wealth
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Editore: The University of Chicago Press, US, 2022
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Hardback. Condizione: New. The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with admin…istrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Data-such as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellers-has changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. This volume documents progress made toward that goal and the challenges to be overcome to realize the full potential of Big Data in the production of economic statistics. It describes the deployment of Big Data to solve both existing and novel challenges in economic measurement, and it will be of interest to statistical agency staff, academic researchers, and serious users of economic statistics.
Big Data for Twenty-first-century Economic Statistics
Abraham, Katharine G. (EDT); Jarmin, Ron S. (EDT); Moyer, Brian C. (EDT); Shapiro, Matthew D. (EDT)
Lingua: Inglese
Editore: University of Chicago Press, 2022
Serie: Libro 2 di 18 - National Bureau of Economic Research Studies in Income and Wealth
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Hardback. Condizione: New. The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with admin…istrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Data-such as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellers-has changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. This volume documents progress made toward that goal and the challenges to be overcome to realize the full potential of Big Data in the production of economic statistics. It describes the deployment of Big Data to solve both existing and novel challenges in economic measurement, and it will be of interest to statistical agency staff, academic researchers, and serious users of economic statistics.
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Big Data for Twenty-First-Century Economic Statistics
Katharine G. Abraham|Ron S. Jarmin|Brian C. Moyer|Matthew D. Shapiro
Lingua: Inglese
Editore: The University of Chicago Press, 2022
Serie: Libro 2 di 18 - National Bureau of Economic Research Studies in Income and Wealth
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Condizione: New. Über den AutorKatharine G. Abraham is professor of economics and survey methodology at the University of Maryland and a research associate of the National Bureau of Economic Research. Ron S. Jarmin is deputy director a.
Lingua: Inglese
Editore: The University Of Chicago Press Mär 2022, 2022
Serie: Libro 2 di 18 - National Bureau of Economic Research Studies in Income and Wealth
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Buch. Condizione: Neu. Neuware - The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with…administrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Data--such as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellers--has changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. This volume documents progress made toward that goal and the challenges to be overcome to realize the full potential of Big Data in the production of economic statistics. It describes the deployment of Big Data to solve both existing and novel challenges in economic measurement, and it will be of interest to statistical agency staff, academic researchers, and serious users of economic statistics.
Lingua: Inglese
Editore: The University of Chicago Press, US, 2022
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Hardback. Condizione: New. The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with admin…istrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Data-such as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellers-has changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. This volume documents progress made toward that goal and the challenges to be overcome to realize the full potential of Big Data in the production of economic statistics. It describes the deployment of Big Data to solve both existing and novel challenges in economic measurement, and it will be of interest to statistical agency staff, academic researchers, and serious users of economic statistics.
Lingua: Inglese
Editore: Springer, 2013
Serie: Libro 8 di 38 - AAPS Advances in the Pharmaceutical Sciences
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Condizione: New. In.
Lingua: Inglese
Editore: Springer, 2016
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The volume aim to be a comprehensive overview of the drug and biologic development process that is often called 'the valley of death' (pre-IND through approval) where high costs of studies and high rates of product failure are part of the drug dev…elopment landscape. Imaging tools can serve in this period by adding high value data, the images and the kinetic information they can provide, and cost-effective development alternative tools which potentially improve pivotal study designs. Imaging may identify safety issues early such as unwanted organ or tissue distributions, and then can serve advanced development with added certainty of a drug or biologic's success to senior corporate management and investors. There are numerous textbooks, reference texts and treatises on medical imaging technologies, teaching tools on medical cases and physics books on the science of detector and computer interface systems. Rarely, in each of these are examples of medical imaging protocols and animal models of disease i.e. a text on methodology in drug development is currently unavailable.
Lingua: Inglese
Editore: Springer New York Nov 2013, 2013
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. Neuware -The volume aim to be a comprehensive overview of the drug and biologic development process that is often called 'the valley of death' (pre-IND through approval) where high costs of studies and high rates of product failure are part of the drug development landscape. Imaging tools can serve in this… period by adding high value data, the images and the kinetic information they can provide, and cost-effective development alternative tools which potentially improve pivotal study designs. Imaging may identify safety issues early such as unwanted organ or tissue distributions, and then can serve advanced development with added certainty of a drug or biologic's success to senior corporate management and investors. There are numerous textbooks, reference texts and treatises on medical imaging technologies, teaching tools on medical cases and physics books on the science of detector and computer interface systems. Rarely, in each of these are examples of medical imaging protocols and animal models of disease i.e. a text on methodology in drug development is currently unavailable. 420 pp. Englisch.
Lingua: Inglese
Editore: The University of Chicago Press, 2022
Serie: Libro 2 di 18 - National Bureau of Economic Research Studies in Income and Wealth
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Buch. Condizione: Neu. Big Data for Twenty-First-Century Economic Statistics | Brian C. Moyer (u. a.) | Buch | National Bureau of Economic Research Studies in Income and Wealth | Einband - fest (Hardcover) | Englisch | 2022 | The University of Chicago Press | EAN 9780226801254 | Verantwortliche Person für die EU: Libri GmbH, Eur…opaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 8 di 38 - AAPS Advances in the Pharmaceutical Sciences
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Taschenbuch. Condizione: Neu. Pharmaco-Imaging in Drug and Biologics Development | Fundamentals and Applications | Brian R. Moyer (u. a.) | Taschenbuch | AAPS Advances in the Pharmaceutical Sciences Series | xvii | Englisch | 2016 | Springer | EAN 9781493951741 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergarte…nstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: The University of Chicago Press, US, 2022
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Hardback. Condizione: New. The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with admin…istrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Data-such as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellers-has changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. This volume documents progress made toward that goal and the challenges to be overcome to realize the full potential of Big Data in the production of economic statistics. It describes the deployment of Big Data to solve both existing and novel challenges in economic measurement, and it will be of interest to statistical agency staff, academic researchers, and serious users of economic statistics.
