Journal Of Official Statistics
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Author |
: Walter J. Radermacher |
Publisher |
: Springer |
Total Pages |
: 158 |
Release |
: 2021-01-21 |
ISBN-10 |
: 3030314944 |
ISBN-13 |
: 9783030314941 |
Rating |
: 4/5 (44 Downloads) |
Synopsis Official Statistics 4.0 by : Walter J. Radermacher
This book explores official statistics and their social function in modern societies. Digitisation and globalisation are creating completely new opportunities and risks, a context in which facts (can) play an enormously important part if they are produced with a quality that makes them credible and purpose-specific. In order for this to actually happen, official statistics must continue to actively pursue the modernisation of their working methods. This book is not about the technical and methodological challenges associated with digitisation and globalisation; rather, it focuses on statistical sociology, which scientifically deals with the peculiarities and pitfalls of governing-by-numbers, and assigns statistics a suitable position in the future informational ecosystem. Further, the book provides a comprehensive overview of modern issues in official statistics, embodied in a historical and conceptual framework that endows it with different and innovative perspectives. Central to this work is the quality of statistical information provided by official statistics. The implementation of the UN Sustainable Development Goals in the form of indicators is another driving force in the search for answers, and is addressed here. This book will be of interest to a broad readership. The topics of sociology, epistemology, statistical history and the management of production processes, which are important for official statistics and their role in social decision-making processes, are generally not dealt with in statistics books. The book is primary intended for official statisticians, but researchers and advanced students in statistics, economics, sociology and the political sciences will find the book equally stimulating. Last but not least, it offers a valuable source of reflection for policymakers and stakeholders.
Author |
: Barry Schouten |
Publisher |
: CRC Press |
Total Pages |
: 267 |
Release |
: 2017-07-28 |
ISBN-10 |
: 9781498767880 |
ISBN-13 |
: 1498767885 |
Rating |
: 4/5 (80 Downloads) |
Synopsis Adaptive Survey Design by : Barry Schouten
Adaptive survey designs (ASDs) provide a framework for data-driven tailoring of data collection procedures to different sample members, often for cost and bias reduction. People vary in how likely they are to respond and in how they respond. This variation leads to opportunities to selectively deploy design features in order to control both nonresponse and measurement errors. ASD aims at the optimal matching of design features and the characteristics of respondents given the survey budget. Such a goal is sensible, but ASD requires investment in more advanced technical systems and management infrastructure and asks for the collection of relevant auxiliary data. So what are current best practices in ASD? And is ASD worthwhile when the same auxiliary data are employed in the estimation afterwards? In this book, the authors provide answers to these questions, and much more.
Author |
: |
Publisher |
: |
Total Pages |
: 662 |
Release |
: 2012 |
ISBN-10 |
: OSU:32435083106724 |
ISBN-13 |
: |
Rating |
: 4/5 (24 Downloads) |
Synopsis Journal of Official Statistics by :
Author |
: Craig A. Hill |
Publisher |
: John Wiley & Sons |
Total Pages |
: 784 |
Release |
: 2020-09-29 |
ISBN-10 |
: 9781118976326 |
ISBN-13 |
: 1118976320 |
Rating |
: 4/5 (26 Downloads) |
Synopsis Big Data Meets Survey Science by : Craig A. Hill
Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data. Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more. Presents groundbreaking survey methods being utilized today in the field of Big Data Explores how machine learning methods can be applied to the design, collection, and analysis of social science data Filled with examples and illustrations that show how survey data benefits Big Data evaluation Covers methods and applications used in combining Big Data with survey statistics Examines regulations as well as ethical and privacy issues Big Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources.
Author |
: Steven G. Heeringa |
Publisher |
: CRC Press |
Total Pages |
: 568 |
Release |
: 2017-07-12 |
ISBN-10 |
: 9781498761611 |
ISBN-13 |
: 1498761615 |
Rating |
: 4/5 (11 Downloads) |
Synopsis Applied Survey Data Analysis by : Steven G. Heeringa
Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more step-by-step examples of modern approaches to the analysis of survey data using the newest statistical software. Designed for readers working in a wide array of disciplines who use survey data in their work, this book continues to provide a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. An example-driven guide to the applied statistical analysis and interpretation of survey data, the second edition contains many new examples and practical exercises based on recent versions of real-world survey data sets. Although the authors continue to use Stata for most examples in the text, they also continue to offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book’s updated website.
Author |
: Edward L. Korn |
Publisher |
: John Wiley & Sons |
Total Pages |
: 408 |
Release |
: 2011-01-25 |
ISBN-10 |
: 9781118030868 |
ISBN-13 |
: 1118030869 |
Rating |
: 4/5 (68 Downloads) |
Synopsis Analysis of Health Surveys by : Edward L. Korn
How to apply statistical methods to survey data--a guide toeffective analysis of health surveys. With large health surveys becoming increasingly available forpublic use, researchers with little experience in survey methodsare often faced with analyzing data from surveys to addressscientific and programmatic questions. This practical book providesstatistical techniques for use in survey analysis, making healthsurveys accessible to statisticians, biostatisticians,epidemiologists, and health researchers. The authors clearlyexplain the theory and methods of survey analysis along withreal-world applications. They draw on their work at the NationalInstitutes of Health as well as up-to-date information from acrossthe literature to present: * The sampling background necessary to understand health surveys. * The application of such techniques as t-tests, linear regression,logistic regression, and survival analysis to survey data. * The use of sample weights in survey data analysis. * Dealing with complications in variance estimation in large healthsurveys. * Applications involving cross-sectional, longitudinal, andmultiple cross-sectional surveys, and the use of surveys to performpopulation- based case-control analyses. * Guidance on the correct use of statistical methods found insoftware packages. * Extensive bibliography.
Author |
: Arunabh Ghosh |
Publisher |
: Princeton University Press |
Total Pages |
: 360 |
Release |
: 2020-03-31 |
ISBN-10 |
: 9780691179476 |
ISBN-13 |
: 0691179476 |
Rating |
: 4/5 (76 Downloads) |
Synopsis Making It Count by : Arunabh Ghosh
Revision of author's thesis (doctoral)--Columbia University, 2014, titled Making it count: statistics and state-society relations in the early People's Republic of China, 1949-1959.
Author |
: Janet Lippe Norwood |
Publisher |
: The Urban Insitute |
Total Pages |
: 116 |
Release |
: 1995 |
ISBN-10 |
: 0877666350 |
ISBN-13 |
: 9780877666356 |
Rating |
: 4/5 (50 Downloads) |
Synopsis Organizing to Count by : Janet Lippe Norwood
Author |
: Wayne A. Fuller |
Publisher |
: John Wiley & Sons |
Total Pages |
: 321 |
Release |
: 2011-09-20 |
ISBN-10 |
: 9781118211113 |
ISBN-13 |
: 1118211111 |
Rating |
: 4/5 (13 Downloads) |
Synopsis Sampling Statistics by : Wayne A. Fuller
Discover the latest developments and current practices in survey sampling Survey sampling is an important component of research in many fields, and as the importance of survey sampling continues to grow, sophisticated sampling techniques that are both economical and scientifically reliable are essential to planning statistical research and the design of experiments. Sampling Statistics presents estimation techniques and sampling concepts to facilitate the application of model-based procedures to survey samples. The book begins with an introduction to standard probability sampling concepts, which provides the foundation for studying samples selected from a finite population. The development of the theory of complex sampling methods is detailed, and subsequent chapters explore the construction of estimators, sample design, replication variance estimation, and procedures such as nonresponse adjustment and small area estimation where models play a key role. A final chapter covers analytic studies in which survey data are used for the estimation of parameters for a subject matter model. The author draws upon his extensive experience with survey samples in the book's numerous examples. Both the production of "general use" databases and the analytic study of a limited number of characteristics are discussed. Exercises at the end of each chapter allow readers to test their comprehension of the presented concepts and techniques, and the references provide further resources for study. Sampling Statistics is an ideal book for courses in survey sampling at the graduate level. It is also a valuable reference for practicing statisticians who analyze survey data or are involved in the design of sample surveys.
Author |
: N. Balakrishnan |
Publisher |
: |
Total Pages |
: |
Release |
: 2014 |
ISBN-10 |
: 1118445112 |
ISBN-13 |
: 9781118445112 |
Rating |
: 4/5 (12 Downloads) |
Synopsis Wiley StatsRef by : N. Balakrishnan
Wiley StatsRef: Statistics Reference Online is a comprehensive online reference resource which covers the fundamentals and applications of statistics in all fields where it is widely used. This is the most inclusive, authoritative, online reference source available in statistics. Wiley StatsRef is aimed at advanced undergraduates, postgraduates, teachers of statistics, and for experienced researchers entering a new part of the field for the first time.