Neeraj Joshi
Indian Institute of Technology Delhi, Indian Institute of Management Kashipur, University of Delhi, Kumaun University, Indian Institute of Technology Kanpur
About
I am an Assistant Professor of Statistics in the Department of Mathematics at the Indian Institute of Technology Delhi. Previously, I was associated with the Indian Institute of Management Kashipur as an Assistant Professor in the Operations Management and Decision Sciences Area. Before that, I was a Postdoctoral Fellow with Prof. Raghu Nandan Sengupta in the Department of Management Sciences at the Indian Institute of Technology Kanpur. I obtained my Ph.D. from the Department of Statistics at the University of Delhi under the supervision of Prof. Ajit Chaturvedi and Dr. Ashish K. Shukla. I work in the domain of Statistics and Data Science with particular research interests in sequential analysis, statistical inference, statistical reliability, computational statistics, and ecological statistics.
Employment
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Indian Institute of Technology Delhi Assistant Professor2024 - Present
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Indian Institute of Management Kashipur Assistant Professor2023 - 2024
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Indian Institute of Technology Kanpur Post Doctoral Fellow2022 - 2023
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Kumaun University Nainital Teaching Personnel2016 - 2017
Education
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University of Delhi Ph.D.2018 - 2022
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Kumaun University M.Sc.2014 - 2016
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Kumaun University B.Sc.2011 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (25)
- Optimal sequential estimation of the length-biased Pareto mean with case studies on net worth of billionaires and winning times of marathon runners Save
- Minimum risk two-stage sequential point estimation of $$R=\mathbb {P}(X<Y)$$ for a one-parameter exponential distribution with unequal sample sizes Save
- A three-stage sequential sampling procedure for comparing linear parametric functions of two multiple linear regression models with standardized predictors: illustration using Boston housing data Save
- On testing the ratio of scale parameters of two Pareto distributions using a novel accelerated sequential sampling technique with applications Save
- Control Charts for the Percentiles of an Inverse Pareto Distribution Under Complete and Middle‐Censored Data Save
- Two-stage and purely sequential minimum risk point estimation of the scale parameter of a family of distributions under modified LINEX loss plus sampling cost Save
- Modeling wind speed data using the generalized positive exponential family of distributions Save
- Optimal estimation of the length-biased inverse Gaussian mean with a case study on Eastern Tropical Pacific dolphins Save
- Optimal estimation of reliability parameter for inverse Pareto distribution with application to insurance data Save
- Sequential estimation for the multiple linear regression models with balanced loss functions Save