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Author:
Publisher:
ISBN:
Category : Health
Languages : en
Pages : 316
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Author:
Publisher:
ISBN:
Category : Health
Languages : en
Pages : 316
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Book Description
Author:
Publisher:
ISBN:
Category : Health
Languages : en
Pages : 290
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Author:
Publisher:
ISBN:
Category : Public health
Languages : en
Pages : 170
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Author:
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 498
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Author: WORLD HEALTH ORGANIZATION.
Publisher:
ISBN: 9789240005112
Category :
Languages : en
Pages : 85
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Book Description
The World health statistics 2020 report is the latest annual compilation of health statistics for 194 Member States. It summarizes trends in life expectancy and causes of death and reports on progress towards the health and health related Sustainable Development Goals (SDGs) and associated targets. Four indicators of emerging public health importance relating to poliomyelitis, hypertension and obesity in adults and school age children have been included. These are part of the WHO's Thirteenth General Programme of Work 2019-2023 (GPW13), which the 71st World Health Assembly approved in May 2018. The GPW13 is largely based on the SDGs and sets out WHO's strategic direction until 2023
Author:
Publisher: DIANE Publishing
ISBN: 9780788100260
Category : Medical
Languages : en
Pages : 120
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Pamphlet from the vertical file.
Author:
Publisher:
ISBN:
Category : Health surveys
Languages : en
Pages : 120
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Author:
Publisher:
ISBN:
Category : Children
Languages : en
Pages : 56
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Author: Katharine G. Abraham
Publisher: University of Chicago Press
ISBN: 022680125X
Category : Business & Economics
Languages : en
Pages : 502
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Book Description
Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.
Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 502
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