Ranked Set Sampling : 65 Years Improving the Accuracy in Data Gathering, Pape...

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Ranked Set Sampling : 65 Years Improving the Accuracy in Data Gat
ISBN
9780128150443
Publication Year
2018
Type
Textbook
Format
Trade Paperback
Language
English
Subject Area
Mathematics, Business & Economics
Publication Name
Ranked Set Sampling : 65 Years Improving the Accuracy in Data Gathering
Author
Amer Ibrahim Falah Al-Omari, Carlos N. Bouza-Herrera
Publisher
Elsevier Science & Technology
Item Length
9.2 in
Subject
Probability & Statistics / General, Econometrics, Business Mathematics
Item Width
7.5 in
Number of Pages
344 Pages
Category

About this product

Product Identifiers

Publisher
Elsevier Science & Technology
ISBN-10
0128150440
ISBN-13
9780128150443
eBay Product ID (ePID)
7038259845

Product Key Features

Number of Pages
344 Pages
Publication Name
Ranked Set Sampling : 65 Years Improving the Accuracy in Data Gathering
Language
English
Subject
Probability & Statistics / General, Econometrics, Business Mathematics
Publication Year
2018
Type
Textbook
Subject Area
Mathematics, Business & Economics
Author
Amer Ibrahim Falah Al-Omari, Carlos N. Bouza-Herrera
Format
Trade Paperback

Dimensions

Item Length
9.2 in
Item Width
7.5 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2020-277107
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.5/2
Table Of Content
1. Studying the Quality of Environment Variables Using a Randomized Response Procedure for the Estimation of a Proportion Through Ranked Set Sampling2. evelopment of a New Control Chart Based on Ranked Repetitive Sampling3. mproved Ratio-Cum-Product Estimators of the Population Mean4. Estimation of the Distribution Function Using Moving Extreme Ranked Set Sampling (MERSS)5. Statistical Inference of Ranked Set Sampling Via Resampling Methods6. Extensions of Some Randomized Response Procedures Related with Gupta-Thornton Method: The Use of Order Statistics7. Ranked Set Sampling Estimation of the Population Mean When Information on an Attribute Is Available8. Modified Partially Ordered Judgment Subset Sampling Schemes9. Ranked Set Sampling With Unequal Sample Sizes10. A New Morgenstern Type Bivariate Exponential Distribution with Known Coefficient of Variation by Ranked Set Sampling11. Shrinkage Estimators of Scale Parameter Towards an Interval of Morgenstern Type Bivariate Uniform Distribution Using Ranked Set Sampling12. Statistical Inference Using Stratified Ranked Set Samples From Finite Populations13. Simultaneous Estimation of Means of Two Sensitive Variables Using Ranked Set Sampling14. Forced Quantitative Randomized Response Model Using Ranked Set Sampling15. Construction of Strata Boundaries for Ranked Set Sampling16. Calibrated Estimator of Population Mean Using Two-Stage Ranked Set Sampling17. Estimation of Population Mean Using Information on Auxiliary Attribute: A Review18. Ratio and Product Type Exponential Estimators for Population Mean Using Ranked Set Sampling19. Extropy Estimation in Ranked Set Sampling With its Application in Testing Uniformity20. Selection and Estimation in Ranked Set Sampling using R21. Variance Estimation of Persons Infected With AIDS Under Ranked Set Sampling
Synopsis
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., 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
LC Classification Number
QA278.75

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