Overview

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.

Full Product Details

Author:   Carlos N. Bouza-Herrera (University of Havana, Havana, Cuba) ,  Amer Ibrahim Falah Al-Omari (Al-Bayt University, Mafraq, Jordan)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.660kg
ISBN:  

9780128150443

ISBN 10:   0128150440
Pages:   314
Publication Date:   19 October 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

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

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Author Information

Prof. Dr. Carlos Bouza-Herrera is Professor of Mathematics, Economics and Computation at Universidad de la Habana, Cuba. Herrera has headed more than 60 research projects and published more than 200 papers. His main area of investigation is in mathematical statistics. He has been author, coauthor or editor of 19 books. He is the consulting editor of Current Index to Statistics and International Abstracts of Operations Research. Professor Amer Al-Omari is a Professor of Statistics at the Department of Mathematics, and Vice-Dean of Academic Research at Al al-Bayt University, Mafraq, Jordan. He is interested in ranked set sampling, entropy, missing data, order statistics, acceptance sampling plans, and statistical inference. He has published over 100 articles.

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