Statistical Methods and the Improvement of Data Quality
eBook - PDF

Statistical Methods and the Improvement of Data Quality

  1. 378 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Statistical Methods and the Improvement of Data Quality

About this book

Statistical Methods and the Improvement of Data Quality contains the proceedings of The Small Conference on the Improvement of the Quality of Data Collected by Data Collection Systems, held on November 11-12, 1982, in Oak Ridge, Tennessee. The conference provided a forum for discussing the use of statistical methods to improve data quality, with emphasis on the problems of data collection systems and how to handle them using state-of-the-art techniques. Comprised of 16 chapters, this volume begins with an overview of some of the limitations of surveys, followed by an annotated bibliography on frames from which the probability sample is selected. The reader is then introduced to sample designs and methods for collecting data over space and time; response effects to behavior and attitude questions; and how to develop and use error profiles. Subsequent chapters focus on principles and methods for handling outliers in data sets; influence functions, outlier detection, and data editing; and application of pattern recognition techniques to data analysis. The use of exploratory data analysis as an aid in modeling and statistical forecasting is also described. This monograph is likely to be of primary benefit to students taking a general course in survey sampling techniques, and to individuals and groups who deal with large data collection systems and are constantly seeking ways to improve the overall quality of their data.

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Yes, you can access Statistical Methods and the Improvement of Data Quality by Tommy Wright in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2014
Print ISBN
9780127654805
eBook ISBN
9781483267470
Topic
Mathematics
Subtopic
Mathematics General
Index
Mathematics

Table of contents

  1. Front Cover
  2. Statistical Methods and the Improvement of Data Quality
  3. Copyright Page
  4. Table of Contents
  5. Contributors
  6. Preface
  7. Acknowledgments
  8. Chapter 1. Errors and Other Limitations of Surveys
  9. Chapter 2. A Frame on Frames: An Annotated Bibliography
  10. Chapter 3. Data Collection for Details over Space and Time
  11. Chapter 4. Response Effects to Behavior and Attitude Questions
  12. Chapter 5. Error Profiles: Uses and Abuses
  13. Chapter 6. Principles and Methods for Handling Outliers in Data Sets
  14. Chapter 7. Influence Functions, Outlier Detection, and Data Editing
  15. Chapter 8. Using Exploratory Data Analysis to Monitor Socio-Economic Data Quality in Developing Countries
  16. Chapter 9. Application of Pattern Recognition Techniques to Data Analysis
  17. Chapter 10. Can Automatic Data Editing be Justified? One Person's Opinion
  18. Chapter 11. Missing Data in Large Data Sets
  19. Chapter 12. Reducing the Cost of Studying Survey Measurement Error: Is a Laboratory Approach the Answer?
  20. Chapter 13. The Implication of Sample Design on Survey Data Analysis
  21. Chapter 14. An Approach to an Evaluation of the Quality of Motor Gasoline Prices
  22. Chapter 15. Health and Mortality Study Error Detection, Reporting, and Resolution System
  23. Chapter 16. On Using Exploratory Data Analysis as an Aid in Modeling and Statistical Forecasting
  24. Index