Author:
Publisher:
ISBN:
Category : Statistical services
Languages : en
Pages : 662

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Book Description

Author: Barry Schouten
Publisher: CRC Press
ISBN: 1498767885
Category : Mathematics
Languages : en
Pages : 267

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Book Description
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: Walter J. Radermacher
Publisher: Springer
ISBN: 9783030314941
Category : Mathematics
Languages : en
Pages : 158

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Book Description
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:
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 241

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Book Description

Author: Sweden. Statistiska centralbyrån
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages :

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Book Description

Author: American Statistical Association
Publisher:
ISBN:
Category : Computer network resources
Languages : en
Pages : 416

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Book Description
A scientific and educational journal not only for professional statisticians but also for economists, business executives, research directors, government officials, university professors, and others who are seriously interested in the application of statistical methods to practical problems, in the development of more useful methods, and in the improvement of basic statistical data.

Author: Craig A. Hill
Publisher: John Wiley & Sons
ISBN: 1118976320
Category : Social Science
Languages : en
Pages : 784

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Book Description
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:
Publisher:
ISBN:
Category :
Languages : en
Pages : 20

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Book Description

Author: Matthias Templ
Publisher: Springer
ISBN: 3319502727
Category : Social Science
Languages : en
Pages : 299

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Book Description
This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results. The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the da ta before release. This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences.

Author: Jean-Guy Prévost
Publisher: Springer Nature
ISBN: 3031408292
Category : Social Science
Languages : en
Pages : 209

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Book Description
This book explores the independence of official statistics and describes the various legal and professional norms, institutional arrangements, instruments and practices that statisticians have developed over recent decades to protect their work from political interference. It argues that this ‘drive for independence’, which saw the replication of these norms, arrangements, and instruments across countries, was largely led by the international epistemic community of statisticians, and it identifies some of the paths and processes that enabled this drive. The study conducts an overall, multi-dimensional, and detailed comparative examination of the thirty-eight OECD countries’ norms, arrangements, and practices regarding the institutional and professional independence of official statistics. For that purpose, several dimensions have been surveyed and an index has been built that allows patterns and clusters to be uncovered among the OECD countries, shedding light on the variations that can be observed from one subgroup of countries to another. The issue of the independence of official statistics has been at the heart of several recent statistical controversies, including that of Greece’s debt, censuses in Canada and the United States, the Argentinian cost of living index, and some recent cases of resignation or dismissal of senior statisticians in various countries. Such independence has been a major topic of discussion in the epistemic community since the turn of the century, and concerns have also been addressed more widely, in the media. The subject of the book is particularly relevant as official statistics also play a significant role in monitoring the progress of the United Nations’ Sustainable Development Goals. This book will appeal to anyone interested in the topic of official statistics and to students of government in general.