A5081026614- Probabilistic and Robust Engineering Design
- Statistical Distribution Estimation and Applications
- Hydrology and Drought Analysis
- Energy Load and Power Forecasting
- Reliability and Maintenance Optimization
- Wind and Air Flow Studies
- Advanced Statistical Methods and Models
- Advanced Statistical Process Monitoring
- Statistical Methods and Inference
- Radar Systems and Signal Processing
- Wireless Communication Networks Research
- Advanced Wireless Communication Techniques
Sharda University
2024-2025
Babasaheb Bhimrao Ambedkar University
2020-2022
Indian Institute of Technology Kanpur
2002
ABSTRACT In this paper, we aim to develop the Shewhart‐type control charts for monitoring percentiles of an inverse Pareto distribution (IPD) using complete and middle‐censored data sets. We obtain maximum likelihood (ML) estimators percentile function under both cases. Furthermore, discuss asymptotic properties ML use them charts. A large‐scale simulation analysis is performed investigate in‐control (IC) performance proposed chart schemes. This based on various criteria such as average run...
Abstract In this paper, inferential procedures based on classical and Bayesian framework for the Kumaraswamy distribution under random censoring model are studied. We first propose estimators parameters, reliability function, failure rate Mean time to system maximum likelihood estimation method. Then, we calculate asymptotic confidence intervals parameters observed Fisher’s information matrix. Also, characteristics, estimates derived using importance sampling Gibbs procedures. Highest...
In this paper, we consider Chen distribution and derive UMVUEs MLEs of the parameter λ , hazard rate h(t) two measures reliability, namely R(t) = P(X > t), where X denotes lifetime an item P Y ), which represents reliability or system random strength subject to stress under type II censoring scheme sampling Bartholomew . We also develop interval estimates measures. Testing procedures for hypotheses related different parametric functions have been developed. A comparative study methods...
Abstract In this paper, we consider Kumaraswamy-G distributions and derive a Uniformly Minimum Variance Unbiased Estimator (UMVUE) Maximum Likelihood (MLE) of the two measures reliability, namely R ( t ) = P X > Y under Type II censoring scheme sampling Bartholomew (1963). We also develop interval estimates reliability measures. A comparative study different methods point estimation has been conducted on basis simulation studies. An analysis real data set presented for illustration purposes.
We have derived the PDF of decision variable for an adaptive serial search PN code acquisition scheme in Nakagami-m fading environment which is better suited modeling urban multipath mobile radio communication channel. The detection and false alarm probabilities also been derived. These can be used computation mean variance time.
A generalization of positive exponential family distributions developed by Liang (2008) is taken into consideration. Its properties are studied. Two measures reliability discussed. Uniformly minimum variance unbiased estimators (UMVUES), maximum likelihood (MLES) and method moment (MMES) for the functions. The performances three types compared through Monte Carlo simulation. Real life data sets also analyzed.