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Author : Anonim
Publisher : Unknown
Page : 60 pages
File Size : 51,7 Mb
Release : 1996
Category : Origin and destination traffic surveys
ISBN : NWU:35556025471137
Author : Joseph Glaz,Joseph Naus,Sylvan Wallenstein
Publisher : Springer Science & Business Media
Page : 380 pages
File Size : 43,7 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9781475734607
In many statistical applications, scientists have to analyze the occurrence of observed clusters of events in time or space. Scientists are especially interested in determining whether an observed cluster of events has occurred by chance if it is assumed that the events are distributed independently and uniformly over time or space. Scan statistics have relevant applications in many areas of science and technology including geology, geography, medicine, minefield detection, molecular biology, photography, quality control and reliability theory and radio-optics.
Author : Mary K. Muth,Abigail Okrent,Chen Zhen,Shawn Karns
Publisher : Academic Press
Page : 342 pages
File Size : 47,7 Mb
Release : 2019-10-12
Category : Business & Economics
ISBN : 9780128145470
Using Scanner Data for Food Policy Research is a practitioners’ guide to using and interpreting scanner data obtained from stores and households in policy research. It provides practical advice for using the data and interpreting their results. It helps the reader address key methodological issues such as aggregation, constructing price indices, and matching the data to nutrient values. It demonstrates some of the key econometric and statistical applications of the data, including estimating demand systems for policy simulation, analyzing effects of food access on food choices, and conducting cost-benefit analysis of food policies. This guide is intended for early-career researchers, particularly those working with scanner data in agricultural and food economics, nutrition, and public health contexts. Describe different types of scanner data, the types of information available in the data, and the vendors that offer these data Describe food-label data that can be appended to scanner data Identify key questions that researchers should consider when acquiring scanner and label data for food policy research Demonstrate how to use scanner data using tools from econometric and statistical analyses, including the limitations in interpreting results using the data Describe and resolve key methodological issues related to using the data to facilitate more rapid analyses Provide an overview of published literature as background for designing new studies Demonstrate key applications of the data for food policy research
Author : Joseph Glaz,Vladimir Pozdnyakov,Sylvan Wallenstein
Publisher : Springer Science & Business Media
Page : 394 pages
File Size : 41,6 Mb
Release : 2009-12-24
Category : Mathematics
ISBN : 9780817647490
Scan statistics is currently one of the most active and important areas of research in applied probability and statistics, having applications to a wide variety of fields: archaeology, astronomy, bioinformatics, biosurveillance, molecular biology, genetics, computer science, electrical engineering, geography, material sciences, physics, reconnaissance, reliability and quality control, telecommunication, and epidemiology. Filling a gap in the literature, this self-contained volume brings together a collection of selected chapters illustrating the depth and diversity of theory, methods and applications in the area of scan statistics.
Author : Robert C. Feenstra,Matthew D. Shapiro
Publisher : University of Chicago Press
Page : 404 pages
File Size : 40,8 Mb
Release : 2007-11-01
Category : Business & Economics
ISBN : 9780226239668
Every time you buy a can of tuna or a new television, its bar code is scanned to record its price and other information. These "scanner data" offer a number of attractive features for economists and statisticians, because they are collected continuously, are available quickly, and record prices for all items sold, not just a statistical sample. But scanner data also present a number of difficulties for current statistical systems. Scanner Data and Price Indexes assesses both the promise and the challenges of using scanner data to produce economic statistics. Three papers present the results of work in progress at statistical agencies in the U.S., United Kingdom, and Canada, including a project at the U.S. Bureau of Labor Statistics to investigate the feasibility of incorporating scanner data into the monthly Consumer Price Index. Other papers demonstrate the enormous potential of using scanner data to test economic theories and estimate the parameters of economic models, and provide solutions for some of the problems that arise when using scanner data, such as dealing with missing data.
Author : National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Health and Medicine Division,Policy and Global Affairs,Division on Earth and Life Studies,Forum on Cyber Resilience,Board on Health Sciences Policy,Board on Science, Technology, and Economic Policy,Board on Agriculture and Natural Resources,Board on Life Sciences,Committee on Safeguarding the Bioeconomy: Finding Strategies for Understanding, Evaluating, and Protecting the Bioeconomy While Sustaining Innovation and Growth
Publisher : National Academies Press
Page : 393 pages
File Size : 47,6 Mb
Release : 2020-05-01
Category : Science
ISBN : 9780309495677
Research and innovation in the life sciences is driving rapid growth in agriculture, biomedical science, information science and computing, energy, and other sectors of the U.S. economy. This economic activity, conceptually referred to as the bioeconomy, presents many opportunities to create jobs, improve the quality of life, and continue to drive economic growth. While the United States has been a leader in advancements in the biological sciences, other countries are also actively investing in and expanding their capabilities in this area. Maintaining competitiveness in the bioeconomy is key to maintaining the economic health and security of the United States and other nations. Safeguarding the Bioeconomy evaluates preexisting and potential approaches for assessing the value of the bioeconomy and identifies intangible assets not sufficiently captured or that are missing from U.S. assessments. This study considers strategies for safeguarding and sustaining the economic activity driven by research and innovation in the life sciences. It also presents ideas for horizon scanning mechanisms to identify new technologies, markets, and data sources that have the potential to drive future development of the bioeconomy.
Author : Prati Pal Singh
Publisher : Springer Nature
Page : 774 pages
File Size : 48,7 Mb
Release : 2023-10-13
Category : Medical
ISBN : 9789819923021
This book covers several important aspects of pharmaceutical research and innovations. It presents important topics on drug delivery, novel microsponge, nanocrystals, polymeric nanoparticles, peptide synthesis, biopharmaceuticals, pharmacodynamics, yeast flocculation, neuromodulators, innovative drug discovery, pharmacoinformatics, aminoquinoline, thiourea crystals for API synthesis, FDCs and formulations research, ayurveda and natural products, and innovations to militate anti-microbial resistance (AMR). A chapter is devoted to the applications of Artificial Intelligence and Machine Learning in diverse sectors of the pharmaceutical industry, including drug discovery and development, drug repurposing, and improving pharmaceutical productivity. The book also reviews the role of pharmacogenomics and pharmacogenetics in drug development and precision medicine. Further, the book presents an updated summary of recent advances in the fields of nanomedicines and nano-based drug delivery systems. This book is useful to pharmaceutical sciences students, researchers, educators, and professionals in the pharmaceutical industry to understand the intricacies of new drug research and innovations.
Author : Joseph Glaz,N. Balakrishnan
Publisher : Unknown
Page : 324 pages
File Size : 51,6 Mb
Release : 1999
Category : Order statistics
ISBN : 376434041X
Scan Statistics and Applications is a comprehensive, edited survey that brings together the work of leading authorities to present the most current advances in theory and methodology for this new area of statistical research and application. The chapters contain broad coverage of theory and new analytical and computational methods and techniques in four categories: introductory survey, discrete scan statistics, continuous scan statistics, and applications. The book is a valuable resource and state-of-the-art reference for all practitioners, researchers, and professionals in applied probability and statistics who use scan statistics in their work.
Author : Joseph Glaz,N. Balakrishnan
Publisher : Birkhäuser
Page : 0 pages
File Size : 40,7 Mb
Release : 2012-10-12
Category : Mathematics
ISBN : 1461272017
The study of scan statistics and their applications to many different scientific and engineering problems have received considerable attention in the literature recently. In addition to challenging theoretical problems, the area of scan statis tics has also found exciting applications in diverse disciplines such as archaeol ogy, astronomy, epidemiology, geography, material science, molecular biology, reconnaissance, reliability and quality control, sociology, and telecommunica tion. This will be clearly evident when one goes through this volume. In this volume, we have brought together a collection of experts working in this area of research in order to review some of the developments that have taken place over the years and also to present their new works and point out some open problems. With this in mind, we selected authors for this volume with some having theoretical interests and others being primarily concerned with applications of scan statistics. Our sincere hope is that this volume will thus provide a comprehensive survey of all the developments in this area of research and hence will serve as a valuable source as well as reference for theoreticians and applied researchers. Graduate students interested in this area will find this volume to be particularly useful as it points out many open challenging problems that they could pursue. This volume will also be appropriate for teaching a graduate-level special course on this topic.
Author : William J. Sutherland,Peter Brotherton,Zoe G. Davies,Nathalie Pettorelli,Juliet A. Vickery
Publisher : Cambridge University Press
Page : 353 pages
File Size : 53,6 Mb
Release : 2020-04-16
Category : Nature
ISBN : 9781108714587
Discover how conservation can be made more effective through strengthening links between science research, policy and practice. This title is also available as Open Access on Cambridge Core.
Author : Aristides Moustakas,Stelios Katsanevakis
Publisher : Frontiers Media SA
Page : 98 pages
File Size : 49,5 Mb
Release : 2018-05-03
Category : Electronic
ISBN : 9782889454716
Invasive alien species are non-indigenous taxa introduced to areas beyond their natural distribution and bio-geographical barriers by human activity, with important impacts on biodiversity, human health and ecosystem services. With the human population being higher than ever before and increasing, together with unprecedented rates of mobility of humans and goods, the introduction of new invasive species is more common than ever and is at the forefront of research in many disciplines such as ecology, epidemiology and food security. The mechanisms of successful introduction, establishment and spread of invasive alien species are highly complex as biological, social, geographic, economic and climatic factors influence the way an invasive species is introduced and determine the options available for its eventual detection and control. With the rapid development of smart sensors, social networks, digital maps and remotely-sensed imagery, spatio-temporal data are more ubiquitous and richer than ever before. The availability of such large datasets (Big data) poses great challenges in data analysis. In addition, increased availability of computing power facilitates the use of computationally-intensive methods for the analysis of such data. Thus new methods are needed to efficiently study and understand biological invasions. A Research Topic held in Frontiers Environmental Informatics aimed to address this topic. Methods are defined in the widest terms and may be analytical, practical or conceptual. Among others, a key aim of the thematic was to maximize the use of the proposed methods/techniques by the scientific community and environmental stakeholders.
Author : Statistics Canada
Publisher : Statistics Canada, Demography Division
Page : 40 pages
File Size : 45,5 Mb
Release : 1979
Category : Canada
ISBN : CORNELL:31924050755937
This publication discusses the population growth trends of this century.
Author : Petr Klapetek
Publisher : Elsevier
Page : 416 pages
File Size : 51,5 Mb
Release : 2018-02-03
Category : Science
ISBN : 9780128133484
Quantitative Data Processing in Scanning Probe Microscopy: SPM Applications for Nanometrology, Second Edition describes the recommended practices for measurements and data processing for various SPM techniques, also discussing associated numerical techniques and recommendations for further reading for particular physical quantities measurements. Each chapter has been revised and updated for this new edition to reflect the progress that has been made in SPM techniques in recent years. New features for this edition include more step-by-step examples, better sample data and more links to related documentation in open source software. Scanning Probe Microscopy (SPM) techniques have the potential to produce information on various local physical properties. Unfortunately, there is still a large gap between what is measured by commercial devices and what could be considered as a quantitative result. This book determines to educate and close that gap. Associated data sets can be downloaded from http://gwyddion.net/qspm/ Features step-by-step guidance to aid readers in progressing from a general understanding of SPM principles to a greater mastery of complex data measurement techniques Includes a focus on metrology aspects of measurements, arming readers with a solid grasp of instrumentation and measuring methods accuracy Worked examples show quantitative data processing for different SPM analytical techniques
Author : Katharine G. Abraham,Ron S. Jarmin,Brian C. Moyer,Matthew D. Shapiro
Publisher : University of Chicago Press
Page : 502 pages
File Size : 51,7 Mb
Release : 2022-03-11
Category : Business & Economics
ISBN : 9780226801254
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 : Chhabi Rani Panigrahi,Bibudhendu Pati,Mamata Rath,Rajkumar Buyya
Publisher : CRC Press
Page : 271 pages
File Size : 50,6 Mb
Release : 2021-05-09
Category : Medical
ISBN : 9781000384970
This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks. This book: Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19 Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19 Includes different case studies on COVID-19 Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Bibudhendu Pati is Associate Professor and Head of the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Mamata Rath is Assistant Professor in the School of Management (Information Technology) at Birla Global University, Bhubaneswar, India. Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.
