Author:
Publisher:
ISBN:
Category : Taiwan
Languages : en
Pages : 160
Book Description
Monthly Bulletin of Statistics of the Republic of China
Author:
Publisher:
ISBN:
Category : Taiwan
Languages : en
Pages : 160
Book Description
Publisher:
ISBN:
Category : Taiwan
Languages : en
Pages : 160
Book Description
Monthly Bulletin of Statistics
Author:
Publisher:
ISBN:
Category : Economic history
Languages : en
Pages : 522
Book Description
Publisher:
ISBN:
Category : Economic history
Languages : en
Pages : 522
Book Description
Big Data for Twenty-First-Century Economic Statistics
Author: Katharine G. Abraham
Publisher: University of Chicago Press
ISBN: 022680125X
Category : Business & Economics
Languages : en
Pages : 502
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.
Publisher: University of Chicago Press
ISBN: 022680125X
Category : Business & Economics
Languages : en
Pages : 502
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.
Monthly Bulletin of Statistics
Author: South Africa. Bureau of Statistics
Publisher:
ISBN:
Category : South Africa
Languages : en
Pages : 742
Book Description
Publisher:
ISBN:
Category : South Africa
Languages : en
Pages : 742
Book Description
Monthly Bulletin of Statistics
Author:
Publisher:
ISBN:
Category : South Africa
Languages : en
Pages : 818
Book Description
Publisher:
ISBN:
Category : South Africa
Languages : en
Pages : 818
Book Description
Monthly Bulletin of Statistics, September 2017
Author: United Nations Department of Economic and Social Affairs
Publisher: United Nations
ISBN: 9210600185
Category : Political Science
Languages : en
Pages : 365
Book Description
Each issue of the Monthly Bulletin of Statistics (MBS) presents current economic and social statistics for more than 200 countries and territories of the world. Written in French and English, it contains over 50 tables of monthly and/or annual and quarterly data on a variety of subjects illustrating important economic trends and developments, including population, prices, employment and earnings, energy, manufacturing, transport, construction, international merchandise trade and finance. The annual subscription rate for the Monthly Bulletin of Statistics in print includes access to the MBS Online.
Publisher: United Nations
ISBN: 9210600185
Category : Political Science
Languages : en
Pages : 365
Book Description
Each issue of the Monthly Bulletin of Statistics (MBS) presents current economic and social statistics for more than 200 countries and territories of the world. Written in French and English, it contains over 50 tables of monthly and/or annual and quarterly data on a variety of subjects illustrating important economic trends and developments, including population, prices, employment and earnings, energy, manufacturing, transport, construction, international merchandise trade and finance. The annual subscription rate for the Monthly Bulletin of Statistics in print includes access to the MBS Online.
International Financial Statistics Yearbook, 2018
Author: International Monetary Fund. Statistics Dept.
Publisher: International Monetary Fund
ISBN: 1484354281
Category : Business & Economics
Languages : en
Pages : 1471
Book Description
This 2018 yearbook issue of International Financial Statistics (IFS) is a standard source of statistics on all aspects of international and domestic finance. The IMF publishes calculated effective exchange rates data only for countries that have given their approval. The country, euro area, and world tables provide measures of effective exchange rates, compiled by the IMF’s Research Department, Statistics Department, and area departments. The real effective exchange rate index in line rec is derived from the nominal effective exchange rate index, adjusted for relative changes in consumer prices. Consumer price indices, often available monthly, are used as a measure of domestic costs and prices for these countries.
Publisher: International Monetary Fund
ISBN: 1484354281
Category : Business & Economics
Languages : en
Pages : 1471
Book Description
This 2018 yearbook issue of International Financial Statistics (IFS) is a standard source of statistics on all aspects of international and domestic finance. The IMF publishes calculated effective exchange rates data only for countries that have given their approval. The country, euro area, and world tables provide measures of effective exchange rates, compiled by the IMF’s Research Department, Statistics Department, and area departments. The real effective exchange rate index in line rec is derived from the nominal effective exchange rate index, adjusted for relative changes in consumer prices. Consumer price indices, often available monthly, are used as a measure of domestic costs and prices for these countries.
High-Dimensional Statistics
Author: Martin J. Wainwright
Publisher: Cambridge University Press
ISBN: 1108498027
Category : Business & Economics
Languages : en
Pages : 571
Book Description
A coherent introductory text from a groundbreaking researcher, focusing on clarity and motivation to build intuition and understanding.
Publisher: Cambridge University Press
ISBN: 1108498027
Category : Business & Economics
Languages : en
Pages : 571
Book Description
A coherent introductory text from a groundbreaking researcher, focusing on clarity and motivation to build intuition and understanding.
The Review of Economic Statistics
Author:
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 438
Book Description
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 438
Book Description
Information Criteria and Statistical Modeling
Author: Sadanori Konishi
Publisher: Springer Science & Business Media
ISBN: 0387718869
Category : Business & Economics
Languages : en
Pages : 282
Book Description
Statistical modeling is a critical tool in scientific research. This book provides comprehensive explanations of the concepts and philosophy of statistical modeling, together with a wide range of practical and numerical examples. The authors expect this work to be of great value not just to statisticians but also to researchers and practitioners in various fields of research such as information science, computer science, engineering, bioinformatics, economics, marketing and environmental science. It’s a crucial area of study, as statistical models are used to understand phenomena with uncertainty and to determine the structure of complex systems. They’re also used to control such systems, as well as to make reliable predictions in various natural and social science fields.
Publisher: Springer Science & Business Media
ISBN: 0387718869
Category : Business & Economics
Languages : en
Pages : 282
Book Description
Statistical modeling is a critical tool in scientific research. This book provides comprehensive explanations of the concepts and philosophy of statistical modeling, together with a wide range of practical and numerical examples. The authors expect this work to be of great value not just to statisticians but also to researchers and practitioners in various fields of research such as information science, computer science, engineering, bioinformatics, economics, marketing and environmental science. It’s a crucial area of study, as statistical models are used to understand phenomena with uncertainty and to determine the structure of complex systems. They’re also used to control such systems, as well as to make reliable predictions in various natural and social science fields.