Cargando…
Ranked set sampling : 65 years improving the accuracy in data gathering /
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 agri...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London ; San Diego, CA :
Academic Press,
[2019]
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | SCIDIR_on1057893427 | ||
| 003 | OCoLC | ||
| 005 | 20231120010321.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 181025s2019 enk ob 001 0 eng d | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d N$T |d OCLCF |d YDX |d UKMGB |d OCLCQ |d OPELS |d S2H |d OCLCO |d LVT |d NLW |d OCLCQ |d OCLCO |d K6U |d OCLCQ | ||
| 016 | 7 | |a 019096933 |2 Uk | |
| 019 | |a 1059269703 |a 1229743535 | ||
| 020 | |a 9780128156933 |q (electronic bk.) | ||
| 020 | |a 0128156937 |q (electronic bk.) | ||
| 020 | |a 9780128150443 |q (electronic bk.) | ||
| 020 | |a 0128150440 |q (electronic bk.) | ||
| 035 | |a (OCoLC)1057893427 |z (OCoLC)1059269703 |z (OCoLC)1229743535 | ||
| 050 | 4 | |a QA276.6 | |
| 072 | 7 | |a MAT |x 003000 |2 bisacsh | |
| 072 | 7 | |a MAT |x 029000 |2 bisacsh | |
| 082 | 0 | 4 | |a 519.5/2 |2 23 |
| 245 | 0 | 0 | |a Ranked set sampling : |b 65 years improving the accuracy in data gathering / |c edited by Carlos N. Bouza-Herrera, Amer Ibrahim Falah Al-Omari. |
| 264 | 1 | |a London ; |a San Diego, CA : |b Academic Press, |c [2019] | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a 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 applicationsDiscusses RSS performs in popular statistical models, such as regression and hypothesis testingIncludes a discussion of open theoretical research problemsProvides mathematical proofs, enabling researchers to develop new models. | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed October 26, 2018). | |
| 505 | 0 | |a 1. Studying the Quality of Environment Variables Using a Randomized Response Procedure for the Estimation of a Proportion Through Ranked Set Sampling; 2. Development of a New Control Chart Based on Ranked Repetitive Sampling; 3. Improved 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 | |
| 650 | 0 | |a Sampling (Statistics) | |
| 650 | 0 | |a Ranking and selection (Statistics) | |
| 650 | 6 | |a �Echantillonnage (Statistique) |0 (CaQQLa)201-0002590 | |
| 650 | 6 | |a Rang et s�election (Statistique) |0 (CaQQLa)201-0051633 | |
| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Ranking and selection (Statistics) |2 fast |0 (OCoLC)fst01089915 | |
| 650 | 7 | |a Sampling (Statistics) |2 fast |0 (OCoLC)fst01104676 | |
| 700 | 1 | |a Bouza Herrera, Carlos Narciso, |d 1942- |e editor. | |
| 700 | 1 | |a Al-Omari, Amer Ibrahim Falah, |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Ranked set sampling. |d London ; San Diego, CA : Academic Press, [2019] |z 0128150440 |z 9780128150443 |w (OCoLC)1028529549 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128150443 |z Texto completo |