Sarjinder Singh

Personal Details

First Name:	Sarjinder
Middle Name:
Last Name:	Singh
Suffix:
RePEc Short-ID:	psi167
	http://www.geocities.com/sarjinder

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. Kozak, Marcin & Zielinski, Andrzej & Singh, Sarjinder, 2008. "Stratified two-stage sampling in domains: Sample allocation between domains, strata, and sampling stages," Statistics & Probability Letters, Elsevier, vol. 78(8), pages 970-974, June.

   Cited by:

   1. M. G. M. Khan & Jacek Wesołowski, 2019. "Neyman-type sample allocation for domains-efficient estimation in multistage sampling," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 103(4), pages 563-592, December.
   2. Wesołowski Jacek, 2019. "Multi-Domain Neyman-Tchuprov Optimal Allocation," Statistics in Transition New Series, Statistics Poland, vol. 20(4), pages 1-12, December.

2. Stearns, Matthew & Singh, Sarjinder, 2008. "On the estimation of the general parameter," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4253-4271, May.

   Cited by:

   1. Sarjinder Singh, 2012. "On the calibration of design weights using a displacement function," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(1), pages 85-107, January.
   2. Ohyama, Tetsuji, 2013. "Prior value incorporated calibration estimator in stratified random sampling," Statistics & Probability Letters, Elsevier, vol. 83(1), pages 46-51.
   3. Martínez, S. & Rueda, M. & Arcos, A. & Martínez, H. & Sánchez-Borrego, I., 2011. "Post-stratified calibration method for estimating quantiles," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 838-851, January.
   4. Al-Jararha J. & Sulaiman Mazen, 2020. "Horvitz-Thompson estimator based on theauxiliary variable," Statistics in Transition New Series, Statistics Poland, vol. 21(1), pages 37-54, March.

3. H. Singh & P. Chandra & Anwar Joarder & Sarjinder Singh, 2007. "Family of estimators of mean, ratio and product of a finite population using random nonresponse," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(3), pages 565-597, December.

   Cited by:

   1. Singh G. N. & Kumar Amod & Vishwakarma Gajendra K., 2018. "Development Of Chain-Type Exponential Estimators For Population Variance In Two-Phase Sampling Design In Presence Of Random Non-Response," Statistics in Transition New Series, Statistics Poland, vol. 19(4), pages 575-596, December.
   2. Khare B. B. & Sinha R. R., 2019. "Estimation Of Product Of Two Population Means By Multi-Auxiliary Characters Under Double Sampling The Non-Respondents," Statistics in Transition New Series, Statistics Poland, vol. 20(3), pages 81-95, September.

4. Rueda, Maria del Mar & Arcos, Antonio & Munoz, Juan Francisco & Singh, Sarjinder, 2007. "Quantile estimation in two-phase sampling," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2559-2572, February.

   Cited by:

   1. Martínez, S. & Rueda, M. & Arcos, A. & Martínez, H. & Sánchez-Borrego, I., 2011. "Post-stratified calibration method for estimating quantiles," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 838-851, January.

5. Christopher Gjestvang & Sarjinder Singh, 2007. "Forced quantitative randomized response model: a new device," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 66(2), pages 243-257, September.

   Cited by:

   1. Singh, Sarjinder & Kim, Jong-Min, 2011. "A pseudo-empirical log-likelihood estimator using scrambled responses," Statistics & Probability Letters, Elsevier, vol. 81(3), pages 345-351, March.
   2. Antonio Arcos & María del Rueda & Sarjinder Singh, 2015. "A generalized approach to randomised response for quantitative variables," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1239-1256, May.
   3. Andreas Quatember, 2012. "An extension of the standardized randomized response technique to a multi-stage setup," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(4), pages 475-484, November.
   4. S. Singh – & J.-M. Kim & I. Singh Grewal, 2008. "Imputing and jackknifing scrambled responses," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(2), pages 183-204.
   5. Giancarlo Diana & Pier Francesco Perri, 2010. "New scrambled response models for estimating the mean of a sensitive quantitative character," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(11), pages 1875-1890.

6. Raghunath Arnab & Sarjinder Singh, 2006. "Estimation of variance from missing data," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(2), pages 161-177.

   Cited by:

7. Sarjinder Singh, 2006. "Survey statisticians celebrate golden jubilee year 2003 of the linear regression estimator," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 63(1), pages 1-18, February.

   Cited by:

   1. Stearns, Matthew & Singh, Sarjinder, 2008. "On the estimation of the general parameter," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4253-4271, May.

8. Christopher R. Gjestvang & Sarjinder Singh, 2006. "A new randomized response model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 68(3), pages 523-530, June.

   Cited by:

   1. Shu-Ching Su & Stephen A. Sedory & Sarjinder Singh, 2015. "Kuk’s Model Adjusted for Protection and Efficiency," Sociological Methods & Research, , vol. 44(3), pages 534-551, August.
   2. Singh Housila P. & Gorey Swarangi M., 2017. "A Generalized Randomized Response Model," Statistics in Transition New Series, Statistics Poland, vol. 18(4), pages 669-686, December.
   3. Truong-Nhat Le & Shen-Ming Lee & Phuoc-Loc Tran & Chin-Shang Li, 2023. "Randomized Response Techniques: A Systematic Review from the Pioneering Work of Warner (1965) to the Present," Mathematics, MDPI, vol. 11(7), pages 1-26, April.
   4. Sarjinder Singh & Stephen A. Sedory, 2011. "Cramer-Rao Lower Bound of Variance in Randomized Response Sampling," Sociological Methods & Research, , vol. 40(3), pages 536-546, August.
   5. Erum Zahid & Javid Shabbir & Sat Gupta & Ronald Onyango & Sadia Saeed, 2022. "A generalized class of estimators for sensitive variable in the presence of measurement error and non-response," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-19, January.
   6. Lucio Barabesi & Marzia Marcheselli, 2010. "Bayesian estimation of proportion and sensitivity level in randomized response procedures," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 72(1), pages 75-88, July.
   7. María del Mar Rueda & Beatriz Cobo & Antonio Arcos, 2021. "Regression Models in Complex Survey Sampling for Sensitive Quantitative Variables," Mathematics, MDPI, vol. 9(6), pages 1-13, March.
   8. Antonio Arcos & María del Rueda & Sarjinder Singh, 2015. "A generalized approach to randomised response for quantitative variables," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1239-1256, May.
   9. Oluseun Odumade & Sarjinder Singh, 2010. "An Alternative to the Bar-Lev, Bobovitch, and Boukai Randomized Response Model," Sociological Methods & Research, , vol. 39(2), pages 206-221, November.
   10. Lucio Barabesi & Sara Franceschi & Marzia Marcheselli, 2012. "A randomized response procedure for multiple-sensitive questions," Statistical Papers, Springer, vol. 53(3), pages 703-718, August.
   11. Lucio Barabesi & Giancarlo Diana & Pier Perri, 2015. "Gini index estimation in randomized response surveys," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(1), pages 45-62, January.
   12. Michael Lee Johnson & Stephen A. Sedory & Sarjinder Singh, 2019. "Alternative Methods to Make Efficient Use of Two Decks of Cards in Randomized Response Sampling," Sociological Methods & Research, , vol. 48(1), pages 62-91, February.
   13. Cheon-Sig Lee & Shu-Ching Su & Katrina Mondragon & Veronica I. Salinas & Monique L. Zamora & Stephen Andrew Sedory & Sarjinder Singh, 2016. "Comparison of Cramer–Rao lower bounds of variances for at least equal protection of respondents," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 70(2), pages 80-99, May.
   14. Esponda, Fernando & Guerrero, Victor M., 2009. "Surveys with negative questions for sensitive items," Statistics & Probability Letters, Elsevier, vol. 79(24), pages 2456-2461, December.
   15. Sarjinder Singh, 2020. "Reply to the correction by Grover and Kaur: a new randomized response model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(3), pages 865-868, July.
   16. Dihidar Kajal & Bhattacharya Manjima, 2017. "Estimating Sensitive Population Proportion Using a Combination of Binomial and Hypergeometric Randomized Responses by Direct and Inverse Mechanism," Statistics in Transition New Series, Statistics Poland, vol. 18(2), pages 193-210, June.
   17. Shu-Hui Hsieh & Shen-Ming Lee & Chin-Shang Li & Su-Hao Tu, 2016. "An alternative to unrelated randomized response techniques with logistic regression analysis," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(4), pages 601-621, November.
   18. Giancarlo Diana & Pier Francesco Perri, 2010. "New scrambled response models for estimating the mean of a sensitive quantitative character," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(11), pages 1875-1890.
   19. Shu-Hui Hsieh & Shen-Ming Lee & Su-Hao Tu, 2018. "Randomized response techniques for a multi-level attribute using a single sensitive question," Statistical Papers, Springer, vol. 59(1), pages 291-306, March.

9. Raghunath Arnab & Sarjinder Singh, 2002. "Estimation of the Size and Mean Value of a Stigmatized Characteristic of a Hidden Gang in a Finite Population: A Unified Approach," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 54(3), pages 659-666, September.

   Cited by:

   1. Lucio Barabesi & Giancarlo Diana & Pier Perri, 2013. "Design-based distribution function estimation for stigmatized populations," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(7), pages 919-935, October.
   2. Lucio Barabesi & Giancarlo Diana & Pier Perri, 2015. "Gini index estimation in randomized response surveys," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(1), pages 45-62, January.
   3. Amitava Saha, 2007. "A simple randomized response technique in complex surveys," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 59-66.

10. Sarjinder Singh, 2001. "Generalized Calibration Approach for Estimating Variance in Survey Sampling," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 53(2), pages 404-417, June.

    Cited by:

    1. Maria del Mar Rueda, 2019. "Comments on: Deville and Särndal’s calibration: revisiting a 25 years old successful optimization problem," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(4), pages 1077-1081, December.
    2. Stearns, Matthew & Singh, Sarjinder, 2008. "On the estimation of the general parameter," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4253-4271, May.
    3. Rueda, M. & Martinez, S. & Martinez, H. & Arcos, A., 2006. "Mean estimation with calibration techniques in presence of missing data," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3263-3277, July.
    4. Mariano Ruiz Espejo & Miguel Delgado Pineda & Saralees Nadarajah, 2013. "Optimal unbiased estimation of some population central moments," METRON, Springer;Sapienza Università di Roma, vol. 71(1), pages 39-62, June.
    5. Sarjinder Singh & Balbinder Deo, 2003. "Imputation by power transformation," Statistical Papers, Springer, vol. 44(4), pages 555-579, October.
    6. Housila Singh & Ritesh Tailor & Sarjinder Singh & Jong-Min Kim, 2011. "Estimation of population variance in successive sampling," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(3), pages 477-494, April.
    7. Martínez, S. & Rueda, M. & Arcos, A. & Martínez, H. & Sánchez-Borrego, I., 2011. "Post-stratified calibration method for estimating quantiles," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 838-851, January.
    8. Kim, Jong-Min & Sungur, Engin A. & Heo, Tae-Young, 2007. "Calibration approach estimators in stratified sampling," Statistics & Probability Letters, Elsevier, vol. 77(1), pages 99-103, January.
    9. Antonio Arcos & José M. Contreras & María M. Rueda, 2014. "A Novel Calibration Estimator in Social Surveys," Sociological Methods & Research, , vol. 43(3), pages 465-489, August.

11. Sarjinder Singh & Munir Mahmood & D. Tracy, 2001. "Estimation of mean and variance of stigmatized quantitative variable using distinct units in randomized response sampling," Statistical Papers, Springer, vol. 42(3), pages 403-411, July.

    Cited by:

    1. Arijit Chaudhuri & Mausumi Bose & Kajal Dihidar, 2011. "Estimating sensitive proportions by Warner’s randomized response technique using multiple randomized responses from distinct persons sampled," Statistical Papers, Springer, vol. 52(1), pages 111-124, February.
    2. Kuo-Chung Huang, 2010. "Unbiased estimators of mean, variance and sensitivity level for quantitative characteristics in finite population sampling," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 71(3), pages 341-352, May.
    3. Arijit Chaudhuri & Sanghamitra Pal, 2008. "Estimating sensitive proportions from Warner’s randomized responses in alternative ways restricting to only distinct units sampled," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 68(2), pages 147-156, September.
    4. Kuo-Chung Huang, 2006. "Estimation of sensitive data from a dichotomous population," Statistical Papers, Springer, vol. 47(1), pages 149-156, January.

12. Derrick Shannon Tracy & Sarjinder Singh, 1999. "Calibration estimators in randomized response surveys," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3-4), pages 47-68.

    Cited by:

    1. Singh, Sarjinder & Kim, Jong-Min, 2011. "A pseudo-empirical log-likelihood estimator using scrambled responses," Statistics & Probability Letters, Elsevier, vol. 81(3), pages 345-351, March.

13. Sarjinder Singh & Derrick Shannon Tracy, 1999. "Ridge regression using scrambled responses," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1-2), pages 147-157.

    Cited by:

    1. Giancarlo Diana & Pier Perri, 2011. "A class of estimators for quantitative sensitive data," Statistical Papers, Springer, vol. 52(3), pages 633-650, August.
    2. Singh, Sarjinder & Kim, Jong-Min, 2011. "A pseudo-empirical log-likelihood estimator using scrambled responses," Statistics & Probability Letters, Elsevier, vol. 81(3), pages 345-351, March.
    3. Monika Devi & D. P. Malik & Vinay Mehala & P. Mishra, 2023. "Measuring Variability and Factors Affecting the Agricultural Production: A Ridge Regression Approach," Annals of Data Science, Springer, vol. 10(2), pages 513-526, April.
    4. A. Saleh & B. Kibria, 2013. "Improved ridge regression estimators for the logistic regression model," Computational Statistics, Springer, vol. 28(6), pages 2519-2558, December.

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