Ranked Set Sampling
eBook - ePub

Ranked Set Sampling

65 Years Improving the Accuracy in Data Gathering

Carlos N. Bouza-Herrera,Amer Ibrahim Falah Al-Omari

  1. 314 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Ranked Set Sampling

65 Years Improving the Accuracy in Data Gathering

Carlos N. Bouza-Herrera,Amer Ibrahim Falah Al-Omari

Book details
Table of contents
Citations

About This Book

Ranked Set Sampling: 65 Years Improving the Accuracy in Data Gathering is an advanced survey technique which seeks to improve the likelihood that collected sample data presents a good representation of the population and minimizes the costs associated with obtaining them. The main focus of many agricultural, ecological and environmental studies is the development of well designed, cost-effective and efficient sampling designs, giving RSS techniques a particular place in resolving the disciplinary problems of economists in application contexts, particularly experimental economics. This book seeks to place RSS at the heart of economic study designs.

  • Focuses on how researchers should manipulate RSS techniques for specific applications
  • Discusses RSS performs in popular statistical models, such as regression and hypothesis testing
  • Includes a discussion of open theoretical research problems
  • Provides mathematical proofs, enabling researchers to develop new models

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Information

Publisher
Academic Press
Year
2018
ISBN
9780128156933
Topic
Economia
Subtopic
Econometria

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. List of Contributors
  6. Preface
  7. Chapter 1. Studying the Quality of Environment Variables Using a Randomized Response Procedure for the Estimation of a Proportion Through Ranked Set Sampling
  8. Chapter 2. Development of a New Control Chart Based on Ranked Repetitive Sampling
  9. Chapter 3. Improved Ratio-Cum-Product Estimators of the Population Mean
  10. Chapter 4. Estimation of the Distribution Function Using Moving Extreme Ranked Set Sampling (MERSS)
  11. Chapter 5. Statistical Inference of Ranked Set Sampling Via Resampling Methods
  12. Chapter 6. Extensions of Some Randomized Response Procedures Related with Gupta-Thornton Method: The Use of Order Statistics
  13. Chapter 7. Ranked Set Sampling Estimation of the Population Mean When Information on an Attribute is Available
  14. Chapter 8. Modified Partially Ordered Judgment Subset Sampling Schemes
  15. Chapter 9. Ranked Set Sampling With Unequal Sample Sizes
  16. Chapter 10. A New Morgenstern Type Bivariate Exponential Distribution with Known Coefficient of Variation by Ranked Set Sampling
  17. Chapter 11. Shrinkage Estimators of Scale Parameter Towards an Interval of Morgenstern Type Bivariate Uniform Distribution Using Ranked Set Sampling
  18. Chapter 12. Statistical Inference Using Stratified Ranked Set Samples From Finite Populations
  19. Chapter 13. Simultaneous Estimation of Means of Two Sensitive Variables Using Ranked Set Sampling
  20. Chapter 14. Forced Quantitative Randomized Response Model Using Ranked Set Sampling
  21. Chapter 15. Construction of Strata Boundaries for Ranked Set Sampling
  22. Chapter 16. Calibrated Estimator of Population Mean Using Two-Stage Ranked Set Sampling
  23. Chapter 17. Estimation of Population Mean Using Information on Auxiliary Attribute: A Review
  24. Chapter 18. Ratio and Product Type Exponential Estimators for Population Mean Using Ranked Set Sampling
  25. Chapter 19. Extropy Estimation in Ranked Set Sampling With its Application in Testing Uniformity
  26. Chapter 20. Selection and Estimation in Ranked Set Sampling using R
  27. Chapter 21. Variance Estimation of Persons Infected With AIDS Under Ranked Set Sampling
  28. Index