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Statistics in the 21st Century
Author: Adrian E. Raftery
Publisher: CRC Press
Published: 2001-07-09
Total Pages: 571
ISBN-13: 1420035398
DOWNLOAD EBOOK →This volume discusses an important area of statistics and highlights the most important statistical advances. It is divided into four sections: statistics in the life and medical sciences, business and social science, the physical sciences and engineering, and theory and methods of statistics.
Statistics for the 21st Century
Author: Gabor Szekely
Publisher: CRC Press
Published: 2000-01-25
Total Pages: 504
ISBN-13: 9780824790295
DOWNLOAD EBOOK →A selection of articles presented at the Eighth Lukacs Symposium held at the Bowling Green State University, Ohio. They discuss consistency and accuracy of the sequential bootstrap, hypothesis testing, geometry in multivariate analysis, the classical extreme value model, the analysis of cross-classified data, diffusion models for neural activity, estimation with quadratic loss, econometrics, higher order asymptotics, pre- and post-limit theorems, and more.
States and statistics in the nineteenth century
Author: Nico Randeraad
Publisher: Manchester University Press
Published: 2020-02-28
Total Pages: 215
ISBN-13: 152614753X
DOWNLOAD EBOOK →This electronic version has been made available under a Creative Commons (BY-NC-ND) open access license. In this fascinating study, Nico Randeraad vividly describes the turbulent history of statistics in nineteenth century Europe. The book deals not only with developments in the large states of Western Europe, but gives equal attention to small states (Belgium, the Netherlands, Hungary) and to the declining Habsburg Empire and Tsarist Russia. Then, unlike today, statistics constituted a comprehensive science, which stemmed from the idea that society, just like nature, was governed by laws. In order to discover these laws, everything had to be counted. What could be counted, could be solved: crime, poverty, suicide, prostitution, illness, and many other threats to bourgeois society. The statisticians, often trained as jurists, economists and doctors, saw themselves as pioneers of a better future. Offering an original perspective on the tensions between universalism and the rise of the nation-state in the nineteenth century, this book will appeal to historians, statisticians, and social scientists in general.
The history of statistics
Library Statistics for the Twenty-First Century World
Author: Michael Heaney
Publisher: Walter de Gruyter
Published: 2009-05-08
Total Pages: 302
ISBN-13: 3598441673
DOWNLOAD EBOOK →An international collaboration between IFLA, the UNESCO Institute of Statistics and the International Organization for Standardization (ISO) has developed standards for new library indicators for the twenty-first century. The existing international library statistics were developed nearly 40 years ago. This book presents the first results using the new statistics, and look forward to the next steps. It also contains other initiatives and developments in the fields of library statistics, benchmarking and indicators.
Big Data for Twenty-First-Century Economic Statistics
Author: Katharine G. Abraham
Publisher: University of Chicago Press
Published: 2022-03-11
Total Pages: 502
ISBN-13: 022680125X
DOWNLOAD EBOOK →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.
Library Statistics for the Twenty-first Century World
Author: Michael Heaney
Publisher: Walter de Gruyter
Published: 2009
Total Pages: 303
ISBN-13: 359822043X
DOWNLOAD EBOOK →The International Federation of Library Associations began a global statistics project in relation to worldwide libraries in 2006. The results are reported here from all over the world and there are several papers specifically on public libraries and university libraries.
Toward a Health Statistics System for the 21st Century
Author: National Research Council
Publisher: National Academies Press
Published: 2001-08-01
Total Pages: 94
ISBN-13: 0309170575
DOWNLOAD EBOOK →The Committee on National Statistics (CNSTAT) convened a workshop on November 4-5, 1999, to identify new directions for health statistics and the implications for health data of changes in the health arena faced by DHHS; state and local health departments; the consumers, developers, and providers of health care products and services; and other health policy makers. Changes in our understanding of health, in health care (managed care, Medicaid, Medicare), in welfare reform, in federal-state relations, in the availability of administrative data, in advanced genetic data, in information technology, in confidentiality issues, and in data integration are examples of recent developments that may play a significant role for DHHS in making future policy decisions.
Big Data for Twenty-First-Century Economic Statistics
Author: Katharine G. Abraham
Publisher: University of Chicago Press
Published: 2022-03-11
Total Pages: 502
ISBN-13: 022680139X
DOWNLOAD EBOOK →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.
