Sarjinder Singh

Biographic Data

ID4270360
NAMESarjinder Singh
GIVEN NAMESSarjinder
FAMILY NAMESingh
SIGNATURESINGH S
AFFILIATIONSTexas A&M University – Kingsville
ORCID0000-0002-3138-9640
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS5
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2010
LATEST PUBLICATION YEAR2023
H-INDEX1

  • A Theory of Higher Order Interactions Between Sensitive Variables

    Open AccessOluwaseun L Olanipekun, JuLong Zhao et al.ARTICLESociological Methods & Research2023References: 20

    In carrying out surveys involving sensitive characteristics, randomized response models have been considered among the best techniques since they provide the maximum privacy protection to the respondents and procure honest responses. Over the years, researchers have carried out studies on the estimation of proportions of the population possessing sensitive characteristics. However, there is a paucity of research studies that have addressed higher…

  • Zero-truncated Binomial Distribution as a Randomization Device

    Open AccessZakry Zapata, Stephen A Sedory et al.ARTICLESociological Methods & Research2022References: 13

    In this article, we consider the use of the zero-truncated binomial distribution as a randomization device while estimating the population proportion of a sensitive characteristic. The resultant new estimator based on the zero-truncated binomial distribution is then compared to its competitors from both the efficiency and the protection point of views. The situations where the proposed new estimator performs better are reported. R codes are also …

  • Alternative Methods to Make Efficient Use of Two Decks of Cards in Randomized Response Sampling

    Open AccessMichael L Johnson, Stephen A Sedory et al.ARTICLESociological Methods & Research2019References: 14

    In this article, alternative randomized response models are proposed, which make use of sum of quantitative scores generated from two decks of cards being used in a survey. The proposed methods are compared to the Odumade and Singh and Singh and Grewal models through a simulation study. It is shown that the modified methods can be used more efficiently than those both models

  • Kuk's Model Adjusted for Protection and Efficiency

    Open AccessShu-Ching Su, Shu‐Ching Su et al.ARTICLESociological Methods & Research2015Cited by: 3References: 16

    In this article, we adjust the Kuk randomized response model for collecting information on a sensitive characteristic for increased protection and efficiency by making use of forced 'yes' and forced 'no' responses. We first describe Kuk's model and then the proposed adjustment to Kuk's model. Next, by means of a simulation study, we compare the efficiency of the adjusted Kuk model relative to the pioneer Kuk model while maintaining at least equal…

  • Cramer-Rao Lower Bound of Variance in Randomized Response Sampling

    Open AccessSarjinder Singh, Stephen A SedoryARTICLESociological Methods & Research2011Cited by: 1References: 8

    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 face-to-face interview data collected using two decks of cards has been analyzed and the results are discussed

  • An Alternative to the Bar-Lev, Bobovitch, and Boukai Randomized Response Model

    Open AccessOluseun Odumade, Sarjinder SinghARTICLESociological Methods & Research2010Cited by: 1References: 17

    In this article, an alternative randomized response model is proposed. The proposed model is found to be more efficient than the randomized response model studied by Bar-Lev, Bobovitch, and Boukai (2004). The relative efficiency of the proposed model is studied with respect to the Bar-Lev et al. (2004) model under various situations