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On optional randomized response techniques in survey sampling

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: On optional randomized response techniques in survey sampling
Συγγραφείς: Pushadapu, Kavya
Στοιχεία εκδότη: Texas A&M University-Kingsville
Έτος έκδοσης: 2022
Συλλογή: Texas A&M University-Kingsville: AKM Digital Repository
Θεματικοί όροι: Statistics, Sampling (Statistics) -- Computer programs, Modeling languages (Computer Science), Mathematics, Surveys, Statistical analytics, computing and modeling
Περιγραφή: In this thesis, we considered the problem of estimation of proportion of a sensitive characteristic using a randomization device that allows interviewees to answer directly or indirectly to a sensitive question. This method is called an optional randomized response technique. An attempt is made to suggest an optimal optional randomized response estimator, for which the bias and variance expressions are derived, and the efficiency of the optimal estimator is investigated through simulation study using SAS coding. Additionally, the suggested approach is applied to COVID-19. In addition, we made a new optional randomized response technique for estimating prevalence of two sensitive characteristics and their overlap in a population. Estimators are proposed, and the variance expressions are derived, and estimators of variances are suggested, and analytical and empirical comparisons are investigated thoroughly.
Τύπος εγγράφου: other/unknown material
Περιγραφή αρχείου: pdf; 1,715,095 bytes
Γλώσσα: English
Relation: http://cdm16771.contentdm.oclc.org/u?/p16771coll2,1195
Διαθεσιμότητα: http://cdm16771.contentdm.oclc.org/u?/p16771coll2,1195
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Αριθμός Καταχώρησης: edsbas.F3549F17
Βάση Δεδομένων: BASE
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