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  • Search: subject:"Estimation of proportion"
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Estimation of proportion 6 Randomized response technique 4 Randomized response 3 estimation of proportion 3 Dichotomous population 2 Sensitive characteristics 2 Stratified random sampling 2 62 D05 1 Binomial Distribution 1 Estimation Of Proportion 1 Estimation of Proportion 1 Maximun Likelihood Estimator 1 Mean square error 1 Partial Randomized Response Procedure 1 Privacy of respondents 1 Randomized Response 1 Rare sensitive characteristics 1 Relative Efficiency 1 Relative efficiency 1 Sensitive issues 1 Sensitive variables 1 Simple Random Sampling With Replacement 1 Simple random sampling with replacement 1 Unequal probability sampling 1 dichotomous population 1 estimation of mean 1 maximum likelihood estimation 1 randomized response sampling 1 relative efficiency 1 sampling strategies 1 sensitive characteristics 1 stratified random sampling 1
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Article 11
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Singh, Housila P. 3 Singh, Sarjinder 3 Tarray, Tanveer A. 3 Kim, Jong-Min 2 Arnab, Raghunath 1 Chang, Horng-Jinh 1 Chaudhuri, Arijit 1 Elam, M. E. 1 Elam, Matthew 1 Huang, Kuo-Chung 1 Osahan, S. 1 Sedory, Stephen 1 Sedory, Stephen A. 1 Tracy, D. 1 Wang, Chih-Li 1
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Metrika 2 Statistica 2 Annals of the Institute of Statistical Mathematics 1 Journal of Applied Statistics 1 METRON 1 Sociological Methods & Research 1 Statistical Papers / Springer 1 Statistics & Probability Letters 1 TEST: An Official Journal of the Spanish Society of Statistics and Operations Research 1
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RePEc 11
Showing 1 - 10 of 11
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A stratified Mangat and Singh’s optional randomized response model using proportional and optimal allocation
Singh, Housila P.; Tarray, Tanveer A. - In: Statistica 74 (2014) 1, pp. 61-79
This paper suggests a stratified optional randomized response model based on Mangat and Singh (1994) model that has proportional and optimal allocation and larger gain in efficiency. Numerically it is found that the suggested model is more efficient than Kim and Warde (2004) stratified...
Persistent link: https://www.econbiz.de/10011124507
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A dexterous randomized response model for estimating a rare sensitive attribute using Poisson distribution
Singh, Housila P.; Tarray, Tanveer A. - In: Statistics & Probability Letters 90 (2014) C, pp. 42-45
Taking the clue from the pioneer work of Land et al. (2011), we have suggested an unbiased estimator of the mean number of persons possessing the rare sensitive attribute in presence of the known proportion of persons possessing a rare unrelated attribute. The variance expression is derived. The...
Persistent link: https://www.econbiz.de/10010776539
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An alternative to Kim and Warde’s mixed randomized response technique
Singh, Housila P.; Tarray, Tanveer A. - In: Statistica 73 (2013) 3, pp. 379-402
The paper proposes two mixed randomized response techniques as an alternative to the Kim and Warde’s (2005) randomized response technique. The properties of the models have been studied and found that the proposed mixed randomized response models are better than the Kim and Warde’s (2005)...
Persistent link: https://www.econbiz.de/10010812467
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A new randomized response device for sensitive characteristics: an application of the negative hypergeometic distribution
Singh, Sarjinder; Sedory, Stephen - In: METRON 71 (2013) 1, pp. 3-8
In this paper, a new randomized response device is proposed based on the use of negative hypergeometric distribution while estimating the proportion of persons possessing a sensitive characteristic in a population. Situations where the proposed randomization device can perform better than the...
Persistent link: https://www.econbiz.de/10011000677
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Cramer-Rao Lower Bound of Variance in Randomized Response Sampling
Singh, Sarjinder; Sedory, Stephen A. - In: Sociological Methods & Research 40 (2011) 3, pp. 536-546
In this note, the Cramer-Rao lower bound of variance by using the two decks of cards in randomized response sampling has been developed. The lower bound of variance has been compared with the recent estimator proposed by Odumade and Singh at equal protection of respondents. A real practical...
Persistent link: https://www.econbiz.de/10009294316
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A stratified unrelated question randomized response model
Kim, Jong-Min; Elam, Matthew - In: Statistical Papers 48 (2007) 2, pp. 215-233
Persistent link: https://www.econbiz.de/10008533800
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A two-stage stratified Warner’s randomized response model using optimal allocation
Kim, Jong-Min; Elam, M. E. - In: Metrika 61 (2005) 1, pp. 1-7
This paper applies Kim and Warde’s (2004) stratified Warner’s randomized response model to Mangat and Singh’s (1990) two-stage randomized response model. The proposed stratified randomized response model has an optimal allocation and a large gain in precision. Hence, the estimator based on...
Persistent link: https://www.econbiz.de/10005598651
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Christofides’ randomized response technique in complex sample surveys
Chaudhuri, Arijit - In: Metrika 60 (2004) 3, pp. 223-228
Christofides (2003) has given an improved modification of Warner’s (1965) pioneering randomized response (RR) technique in estimating an unknown proportion of people bearing a sensitive characteristic in a given community. As both these RR devices are shown to yield unbiased estimators based...
Persistent link: https://www.econbiz.de/10005376073
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Using Randomized Response to Estimate the Proportion and Truthful Reporting Probability in a Dichotomous Finite Population
Chang, Horng-Jinh; Wang, Chih-Li; Huang, Kuo-Chung - In: Journal of Applied Statistics 31 (2004) 5, pp. 565-573
In this paper, an alternative randomized response procedure is given that allows us to estimate the population proportion in addition to the probability of providing a truthful answer. It overcomes a difficulty associated with traditional randomized response techniques. Properties of the...
Persistent link: https://www.econbiz.de/10005458172
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Estimation of the Size and Mean Value of a Stigmatized Characteristic of a Hidden Gang in a Finite Population: A Unified Approach
Arnab, Raghunath; Singh, Sarjinder - In: Annals of the Institute of Statistical Mathematics 54 (2002) 3, pp. 659-666
Persistent link: https://www.econbiz.de/10005395713
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