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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: Books Puddle, Woodside, NY, U.S.A.
Condizione: New. Codice articolo 26357462358
Quantità: 4 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783659275128
Quantità: 2 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Print on Demand. Codice articolo 356109961
Quantità: 4 disponibili
Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. PRINT ON DEMAND. Codice articolo 18357462364
Quantità: 4 disponibili
Da: moluna, Greven, Germania
Condizione: 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. Codice articolo 5144960
Quantità: Più di 20 disponibili
Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock. Codice articolo 3659275123
Quantità: 1 disponibili
Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: 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. Codice articolo 106198181
Quantità: 5 disponibili