Estimation of size and mean of a sensitive quantitative variable for a sub-group of a population

Communications in Statistics - Theory and Methods

Volumn 26, Issue 7, 1997, Pages 1793-1804

  Singh, Sarjinder ^a   Mangat, N S ^b   Singh, Ravindra ^b  

^a AUSTRALIAN BUREAU OF STATISTICS   (Australia)

^b PUNJAB AGRICULTURAL UNIVERSITY   (India)

Author keywords

Estimation of mean; Randomized response technique; Sensitive character; Simple random sampling

Indexed keywords

APPROXIMATION THEORY; PARAMETER ESTIMATION; PROBLEM SOLVING; RANDOM PROCESSES; SAMPLING; STATISTICAL METHODS;

ESTIMATION OF MEAN; RANDOMIZED RESPONSE TECHNIQUE; SENSITIVE QUANTITATIVE VARIABLE; SUB GROUP OF A POPULATION; SURVEY SAMPLING;

ESTIMATION;

EID: 0031381127     PISSN: 03610926     EISSN: None     Source Type: Journal    
DOI: 10.1080/03610929708832013     Document Type: Article

References (7)

1. Chaudhuri, A. and Mukherjee, R. (1988). Randomized response: Theory and Techniques. Marcel Decker, N. Y.
2. Hedayat, A.S. and Sinha, B.K.(1991). Design and Inference in Finite Population Sampling. New York : Wiley.
3. Eichhorn, B.H. and Hayre, L.S. (1983). "Scrambled randomized response methods for obtaining sensitive quantitative data" J. Statist. Planning and Inference, 7, 307-316.
4. Erikson, S. (1973). " A new model for RR" Internat. Statist. Rev., 41, 101-113.
5. Greenberg, B. G., Kuebler, R. R., Abernathy, J. R. and Horvitz, D. G. (1971). "Application of the RR technique in obtaining quantitative data" J. Amer. Statist. Assoc., 66, 243-250.
6. Pollock, K. H. and Bek, Y. (1976). " A comparison of three randomized response models for quantitative data" J. Amer. Statist. Assoc., 71, 884-886.
7. Warner, S. L. (1965). " Randomized response: A survey technique for eliminating evasive answer bias" J. Amer. Statist. Assoc., 60, 63-69.