DEPARTMENT.FACULTY

photo
Dr. Mohd Khalid
  • DEPARTMENT_STAFF.QUALIFICATION

    Ph.D. (Statistics), M.Sc.(Statistics), B.Sc.(Statistics)

  • DEPARTMENT_STAFF.DESIGNATION

    Assistant Professor

  • DEPARTMENT_STAFF.THRUST_AREA

    Core Area of Research/or Specialization: Sample Surveys, Missing Data Analysis Subject Area: Statistics & Data Science

  • DEPARTMENT_STAFF.ADDRESS

    Department of Statistics & Operations Research, Aligarh Muslim University Aligarh

  • DEPARTMENT_STAFF.MOBILE

    7209551778

  • DEPARTMENT_STAFF.EMAIL

    mohdkhalidkhan4870@gmail.com

  • DEPARTMENT_STAFF.TIME_TABLE

    Time Table -2025-2026 (Odd Semester)

DEPARTMENT_STAFF.COMPLETE_CV
  • Working as an Assistant Professor in Statistics at Women's College, Department of Statistics & OR, Aligarh Muslim University, Aligarh.
  • Teaching Experience: 4 years of teaching experience (worked as Contractual faculty member in Aligarh Muslim University, Aligarh). 

  • Awarded Ph. D degree from Indian Institute of Technology (ISM), Dhanbad, India.

  • Research Experience: 9 years of research experience with 16 Research papers published in various Indexed Journals. 

  • Reviewed papers for various journals.

  • Served as a paper setter for various other universities.

  • Presented research papers at several national and international conferences and attended various and attended various workshops/webinar/conference/ISE/Seminar/Webinar/teaching training programs etc.

  • UGC and Ministry of Education Training Program (Rashtriya Karmayogi Large-Scale Jan Seva Programme): Nominated by the Vice-Chancellor, AMU and UGC for this programme: Completed the “Capacity Building Commission’s Karmayogi Facilitators’ Training Programme under the Rashtriya Karmayogi Large-Scale Jan Seva Programme from 11 to 13 August 2025, organized in association with UGC and the Ministry of Education’s knowledge partner, Illumine Knowledge Resources, at the Institute of Management Studies, Banaras Hindu University, Varanasi. 

  • Conducted cascading sessions for the Karmayogi Facilitators’ Training Programme under the Rashtriya Karmayogi Large-Scale Jan Seva Programme from 29 August to 6 September 2025 for the university faculty members, at the Department of Business Administration, Aligarh Muslim University, organized with the kind consent of the Vice-Chancellor as per the Cadre-Review Section’s allotment.                                            



  1. Estimation of finite population mean of a sensitive variableusing three-stage optional RRT in the presence ofnon-response and measurement errors

    Onyango, R., Mohd, Khalid, Shabbir, J., Apima, S. B., & Wanjara, A. (2024). Estimation of finite population mean of a sensitive variable using three-stage optional RRT in the presence of non-response and measurement errors. Journal of Statistical Computation and Simulation, 1– 16. 

    (https://www.tandfonline.com/doi/full/10.1080/00949655.2024.2361290)

  2. An improved class of estimators for estimation of population distribution functions under stratified random sampling

    S. Ahmad, J. Shabbir, W. Emam, E. Zahid, M. Amir, Mohd. Khalid, M.M. Anas: An improved class of estimators for estimating population distribution functions under stratified random sampling. Heliyon, Article 10 (2024)e28272. 

    https://www.cell.com/heliyon/fulltext/S2405-8440(24)04303-2.

  3. General Estimation Procedures of Population Mean in Two-occasion Successive Sampling under Random Non-response

    Khalid M., and G. N. Singh (2022): General Estimation Procedures of Population Mean in Two-occasion Successive Sampling under Random Non-response.Proceedings of the National Academy of Sciences, India Section A: Physical Sciences” Vol. 92, No. 2, pp. 205-215,(DOI: 10.1007/s40010-020-00713-w).

  4. Some Imputation Methods to Compensate with Non-Response for Estimation of Population Mean in Two-occasion Successive Sampling

    G. N. Singh and Khalid M. (2020): Some Imputation Methods to Compensate with Non-Response for Estimation of Population Mean in Two-occasion Successive Sampling, Communications in Statistics-Theory and Methods, Vol. 49, No. 14, pp. 3329-3351, https://www.tandfonline.com/doi/full/10.1080/03610926.2019.1586945

  5. Some Imputation Methods to Deal with Issue of Missing Data Problems Due to Random Non-Response in Two-occasion Successive Sampling

    Khalid M., and G. N. Singh (2022): Some Imputation Methods to Deal with Issue of Missing Data Problems Due to Random Non-Response in Two-occasion Successive Sampling, Communications in Statistics-Simulation and Computation, Vol.51, No.12, pp.7266-7286.(https://www.tandfonline.com/doi/full/10.1080/03610918.2020.1828920).

  6. Study of a Memory Type Shrinkage Estimator of Population Mean in Quality Control Process

    Singh, G.N, Bhattacharyya, D, Bandyopadhyay, A and Khalid, Mohd (2021): Study of a Memory Type Shrinkage Estimator of Population Mean in Quality Control Process, IEE Access, Vol.9, pp.161555-161564, (https://ieeexplore.ieee.org/document/9635775), 

  7. Some Imputation Methods to Deal with the Problems of Missing Data in Two-Occasion Successive Sampling

    G. N. Singh, Khalid M., and Jong-Min Kim (2021):  Some Imputation Methods to Deal with the Problems of Missing Data in Two-Occasion Successive Sampling. Communications in Statistics-Simulation and Computation, Vol. 50, No. 02, pp. 557-580, (https://www.tandfonline.com/doi/abs/10.1080/03610918.2018.1563153).

  8. A Composite Class of Estimators to Deal with the Issue of Variance Estimation under the Situations of Random Non-Response in Two-Occasion Successive Sampling

    G. N. Singh and Khalid M. (2022). A Composite Class of Estimators to Deal with the Issue of Variance Estimation under the Situations of Random Non-Response in Two-Occasion Successive Sampling.  Communications in Statistics-Simulation and Computation, Vol. 51, No. 4, pp. 1454-1473, https://doi.org/10.1080/03610918.2019.1670845.

  9. Some effective class of estimators of population mean in two-phase successive sampling under random non-response

    Singh, G. N., mohd Khalid, and Sharma, A. K. (2017):Some effective class of estimators of population means in two-phase successive sampling under random non-response. Communications in Statistics-Theory & Methods, Vol. 46, No. 24, pp. 12194-12209.  (https://www.tandfonline.com/doi/abs/10.1080/03610926.2017.1291973).

  10. Effective Estimation Strategy of Population Variance in Two-Phase Successive Sampling under Random Non-Response

    Singh, G. N. and mohd Khalid, M. (2019): Effective Estimation Strategy of Population Variance in Two-Phase Successive Sampling under Random Non-Response. Journal of Statistical Theory and Practice, 13: 4. 
  11. An Effective Estimation Strategy for Population mean under Random Non-Response Situations in Two-Phase Successive Sampling

    Singh, G. N., Khalid, M. (2018):  An Effective Estimation Strategy for Population mean under Random Non-Response Situations in Two-Phase Successive Sampling. Communications in Statistics-Theory & Methods, Vol. 47, No. 19, pp. 4641-4660,(https://www.tandfonline.com/doi/full/10.1080/03610926.2018.1444179)

  12. Exponential chain dual to ratio and regression type estimators of population mean in two-phase sampling

    Singh, G. N., and Khalid, M. (2016): Exponential chain dual to ratio and regression type estimators of population mean in two-phase sampling. Statistica, Vol. 75, No. 4, pp. 379-389. (https://rivista-statistica.unibo.it/article/view/5423)

LISTDownloadUPLOADED DATE
Practice Problem related to OS_2
18/10/2022
Practice Problems related to OS_1
18/10/2022
Practice problems related to Convergence in probability
19/10/2022
Practice problems related to Convergence in distribution
19/10/2022
OS_2
18/10/2022
OS_1
18/10/2022