Lavoisier S.A.S.
14 rue de Provigny
94236 Cachan cedex
FRANCE

Heures d'ouverture 08h30-12h30/13h30-17h30
Tél.: +33 (0)1 47 40 67 00
Fax: +33 (0)1 47 40 67 02


Url canonique : www.lavoisier.fr/livre/economie/ranked-set-sampling/descriptif_3785681
Url courte ou permalien : www.lavoisier.fr/livre/notice.asp?ouvrage=3785681

Ranked Set Sampling 65 Years Improving the Accuracy in Data Gathering

Langue : Anglais

Auteurs :

Couverture de l’ouvrage Ranked Set Sampling

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.

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

Principally graduate students and 1st year PhD students of economics, econometrics, and statistics interested in the development of survey sampling. The book will be of interest for practitioners in areas diverse as biology, economy, environment, medical, psychology quality control and sociology problems.

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.
  • 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

Date de parution :

Ouvrage de 314 p.

19x23.3 cm

Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).

193,44 €

Ajouter au panier

Mots-clés :

Accuracy; Answer bias; Attribute; Auxiliary information; Auxiliary variate; Average run length; Best linear unbiased estimator; Bias; Bootstrap method; Complex sampling; Concomitants of order statistics; Distribution; Distribution function; Efficiency; Estimation of mean; Estimator; Estimators; Expected model variance; Extreme ranked set sampling; Extropy estimation; FQRR model; Fisher information number; Horvitz-Thompson estimator; Imperfect ranking; MSE; Maximum likelihood estimators; Mean square error; Mean squared error; Median ranked set sampling; Minimum mean squared error estimator; Modified method of moment; Moving extreme ranked set sampling; Order statistics; Partially ordered judgment subset sampling; Perfect and imperfect rankings; Power; Prediction interval; Product estimator; Proportion; Randomized response technique; Randomized responses; Rank set sampling; Ranked set sample; Ranked set sample mean; Ranked set sampling; Ratio estimator; Relative efficiency; Relative precision; Repetitive sampling; Sampling design; Sampling without replacement; Scrambling; Sensitive variables; Shewhart control chart; Shrinkage estimator; Simple random sampling; Skew distributions; Small sample size; Statistical test; Strata boundaries; Stratified sample; Study variate; Super population model; Two-stage sampling; Unbalanced multistage ranked set sampling; Unbalanced single-stage ranked set sampling; Unbalanced steady-state ranked set sampling; Unbiased estimator; Unbiasedness; Unequal samples; Upper ranked set sampling; Variance

Ces ouvrages sont susceptibles de vous intéresser