In this study we present a two-stage adaptive estimator of prevalence in the presence of test errors. We assume that tests are not 100% perfect. We obtain the adaptive estimator using Maximum Likelihood Estimate (MLE) method and use Fisher information to determine the variance of the estimator. We use Matlab, a statistical software for simulation and verification of the model. We analyse and discuss the properties of the constructed estimator in comparison with other existing estimators in the literature of pool testing. We also provide the confidence interval of the estimator. When the test kits have low sensitivity and specificity, we establish that the adaptive estimator outperforms other existing estimators. Further more, we demonstrate that the efficiency of the adaptive estimation scheme improves as the number of stages increases. This makes the adaptive testing scheme more ideal in areas where errors are rampant.
"synopsis" may belong to another edition of this title.
Annette Wakaanya Okoth holds a Master of Science Degree in Statistics of Masinde Muliro University and a B.Ed Science Degree of Egerton University in Mathematics and Chemistry. She is a distinguished lecturer of statistics at Kibabii Diploma TTC and Mt. Kenya University. Annette is currently developing her PhD concept paper in Statistics.
"About this title" may belong to another edition of this title.
Seller: Books Puddle, Woodside, NY, U.S.A.
Condition: New. Seller Inventory # 26357462358
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand. Seller Inventory # 356109961
Quantity: 4 available
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this study we present a two-stage adaptive estimator of prevalence in the presence of test errors. We assume that tests are not 100% perfect. We obtain the adaptive estimator using Maximum Likelihood Estimate (MLE) method and use Fisher information to determine the variance of the estimator. We use Matlab, a statistical software for simulation and verification of the model. We analyse and discuss the properties of the constructed estimator in comparison with other existing estimators in the literature of pool testing. We also provide the confidence interval of the estimator. When the test kits have low sensitivity and specificity, we establish that the adaptive estimator outperforms other existing estimators. Further more, we demonstrate that the efficiency of the adaptive estimation scheme improves as the number of stages increases. This makes the adaptive testing scheme more ideal in areas where errors are rampant. Seller Inventory # 9783659275128
Quantity: 2 available
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND. Seller Inventory # 18357462364
Quantity: 4 available
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Okoth Annette WakaanyaAnnette Wakaanya Okoth holds a Master of Science Degree in Statistics of Masinde Muliro University and a B.Ed Science Degree of Egerton University in Mathematics and Chemistry. She is a distinguished lecturer of. Seller Inventory # 5144960
Quantity: Over 20 available
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock. Seller Inventory # 3659275123
Quantity: 1 available
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Two Stage Adaptive Pool Testing For Estimating Prevalence of a Trait | Application to HIV/AIDS prevalence in Western Kenya | Annette Wakaanya Okoth | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659275128 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106198181
Quantity: 5 available