Bayesian approximations in randomized response model

Computational Statistics and Data Analysis

Volumn 24, Issue 4, 1997, Pages 401-409

  Migon, Helio S ^a   Tachibana, Vilma M ^b  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

Author keywords

Bayesian inference; MAPLE program; Randomized response; Tierney Kadane method

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; DATA ACQUISITION; RANDOM PROCESSES;

BAYESIAN INFERENCE; RANDOMIZED RESPONSE; TIERNEY-KADANE METHOD;

PROBABILITY;

EID: 0031554343     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(96)00075-8     Document Type: Article

References (7)

1. Chaudhuri, A.S. and R. Mukerjee, Randomized response-theory and techniques (Marcel Dekker, New York, 1988).
2. Liu, P.T. and L.P. Chow, The efficiency of the multiple trial randomized response technique, Biometrics, 32 (1976) 112-119.
3. Heck, A., Introduction to MAPLE (Springer-Verleg, 1993).
4. O'Hagan, A., Bayes linear estimators for randomized response models, J. Amer. Statist. Assoc., 82 (1987) 580-85.
5. Tierney, L. and J.B. Kadane, Accurate approximations for posterior moments and marginal densities, J. Amer. Statis. Assoc., 81 (1986) 82-86.
6. Warner, S.L., Randomized response: a survey technique for eliminating evasive answer bias, J. Amer. Statist. Assoc., 60 (1965) 63-69.
7. Winkler, R.L. and L.A. Franklin, Warner's RR model: a Bayesian approach, J. Amer. Statist. Assoc., 74 (1979) 207-214.