About
Enthusiastic Mathematician with a keen interest in Sampling Theory, Sensitive estimation theory, and Computational Data Science
Multidisciplinary background in Sampling Theory (PhD, University of Delhi), 5 Year integrated Mathematics and Computing (MSc), AKNU, A.P..
Highly proficient in MATLAB, HTML, R, Python, C, C++, LATEX and Microsoft Excel.
Specialties:
Sensitive estimation theory, Linear Algebra, Matrices, Computational Methods
Research Focus: Sampling theory and Computational Data Science
Employment
Employment history is unavailable.
Education
Education history is unavailable.
Projects & Funding
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Publications (27)
- Analyzing Measurement Error in Sensitive Mean Estimation: A Two-Occasion Successive Sampling Approach Save
- A Trust-Enhancing Variant of the Binary Randomized Response Technique Save
- Some Calibration Estimators of the Mean of a Sensitive Variable Under Measurement Error Save
- Calibration Estimators with Different Types of Distance Measures Under Stratified Sampling in the Presence of Measurement Error Save
- Multimodal machine learning approach for detecting spyware and ransomware Save
- Advances in estimation by the item sum technique in two move successive sampling Save
- Evaluating the Effect of Measurement Error Under Randomized Response Techniques of the Sensitive Variable in Successive Sampling Save
- Application of Item Sum Technique for estimating quantitative sensitive mean on successive moves using auxiliary information Save
- Application of item sum technique for estimating quantitative sensitive mean on successive moves using auxiliary information Save
- Calibration estimators for quantitative sensitive mean estimation under successive sampling Save