Analysis Randomized Response Models by Abid Muhammad (9 results)

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Sample surveys on human populations have established the fact that refusal to respond and intended giving of incorrect answers are two main sources of non-sampling error. The bias produced by these two sources of error is sometimes large enough to make the sample estimates seriously misleading. This problem becomes more serious when respondents are questioned about sensitive matters. A procedure was introduced by Warner (1965) to diminish bias due to deliberately misleading responses. This procedure enables the respondents to provide truthful information while protecting their privacy. We present a brief survey of the literature about randomized response techniques (RRTs). A common Bayesian approach when the data are obtained through Perri (2008) and Mahmmod et al. (1998) randomized response models.Based on the concept of jeopardy function, we derived efficiency conditions for the Warner (1965), Mangat et al. (1995) and Bhargava and Singh (2000) model compared to Mahmood et al. (1998) model. 96 pp. Englisch.

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Abid MuhammadI did my M.Sc and M.Phil in Statistics from Quaid-i-Azam University, Islamabad, Pakistan. I am serving as a Lecturer in the Department of Statistics Government College University Faisalabad, Pakistan. I dedicate this boo.

Condition: New. PRINT ON DEMAND pp. 96.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Sample surveys on human populations have established the fact that refusal to respond and intended giving of incorrect answers are two main sources of non-sampling error. The bias produced by these two sources of error is sometimes large enough to make the sample estimates seriously misleading. This problem becomes more serious when respondents are questioned about sensitive matters. A procedure was introduced by Warner (1965) to diminish bias due to deliberately misleading responses. This procedure enables the respondents to provide truthful information while protecting their privacy. We present a brief survey of the literature about randomized response techniques (RRTs). A common Bayesian approach when the data are obtained through Perri (2008) and Mahmmod et al. (1998) randomized response models.Based on the concept of jeopardy function, we derived efficiency conditions for the Warner (1965), Mangat et al. (1995) and Bhargava and Singh (2000) model compared to Mahmood et al. (1998) model.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Sample surveys on human populations have established the fact that refusal to respond and intended giving of incorrect answers are two main sources of non-sampling error. The bias produced by these two sources of error is sometimes large enough to make the sample estimates seriously misleading. This problem becomes more serious when respondents are questioned about sensitive matters. A procedure was introduced by Warner (1965) to diminish bias due to deliberately misleading responses. This procedure enables the respondents to provide truthful information while protecting their privacy. We present a brief survey of the literature about randomized response techniques (RRTs). A common Bayesian approach when the data are obtained through Perri (2008) and Mahmmod et al. (1998) randomized response models.Based on the concept of jeopardy function, we derived efficiency conditions for the Warner (1965), Mangat et al. (1995) and Bhargava and Singh (2000) model compared to Mahmood et al. (1998) model.

Taschenbuch. Condition: Neu. Analysis Of Randomized Response Models Using Different Techniques | Muhammad Abid (u. a.) | Taschenbuch | 96 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783846508350 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.