Proposed Optimal Orthogonal New Additive Model (POONAM)

Authors

  • Sarjinder Singh Texas A&M University - Kingsville

DOI:

https://doi.org/10.6092/issn.1973-2201/3569

Abstract

In this paper, the proposed optimal orthogonal new additive model (POONAM) is shown to remain more efficient than the recent additive model introduced by Gjestvang and Singh (2009). Several situations where the POONAM estimator shows efficiency over the Gjestvang and Singh (2009) model are simulated and investigated.

References

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C. R. GJESTVANG, S. SINGH (2006), A new randomized response model, “Journal of the Royal Statistical Society” B, 68, 523-530.

C. R. GJESTVANG, S. SINGH (2009), An improved randomized response model: Estimation of mean, “Journal of Applied Statistics” 36(12), 1361-1367.

O. ODUMADE, S. SINGH (2008), Generalized forced quantitative randomized response model: A unified approach, “Journal of the Indian Society of Agricultural Statistics” 62(3), 244-252.

O. ODUMADE, S. SINGH (2009a), Efficient use of two decks of cards in randomized response Sampling, “Communications in Statistics-Theory and Methods” 38, (3-5), 439-446.

O. ODUMADE, S. SINGH (2009b), Improved Bar-Lev, Bobovitch, and Boukai randomized response models, “Communications in Statistics- Simulation and Computation” 38(3), 473-502.

S. SINGH, C.C. CHEN (2009), Utilization of higher order moments of scrambling variables in randomized response sampling, “Journal of Statistical Planning and Inference” 139(9), 3377-3380.

S. L. WARNER (1965), Randomized response: a survey technique for eliminating evasive answer bias, “Journal of the American Statistical Association”, 60, 63-69.

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Published

2010-03-31

How to Cite

Singh, S. (2010). Proposed Optimal Orthogonal New Additive Model (POONAM). Statistica, 70(1), 73–81. https://doi.org/10.6092/issn.1973-2201/3569

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Section

Articles