A5103805312- Nuclear Physics and Applications
- Stochastic processes and statistical mechanics
- X-ray Spectroscopy and Fluorescence Analysis
- Nuclear physics research studies
- Transportation Planning and Optimization
- Radiation Detection and Scintillator Technologies
- Statistical Methods and Bayesian Inference
- Diffusion and Search Dynamics
- COVID-19 epidemiological studies
- Electron and X-Ray Spectroscopy Techniques
- Radiation Shielding Materials Analysis
- Ion-surface interactions and analysis
- Atomic and Molecular Physics
- Probability and Risk Models
- Surface Roughness and Optical Measurements
- Astronomical and nuclear sciences
- Statistical Distribution Estimation and Applications
- Mathematical and Theoretical Epidemiology and Ecology Models
- Random Matrices and Applications
- Probabilistic and Robust Engineering Design
- Medical Imaging Techniques and Applications
Indian Institute of Technology Patna
2025
University of Delhi
1981-2023
Central Drug Research Institute
1986
In this paper, we consider inference upon unknown parameters of the family inverted exponentiated distributions when it is known that data are doubly censored. Maximum likelihood and Bayes estimates under different loss functions derived for estimating parameters. We use Metropolis-Hastings algorithm to draw Markov chain Monte Carlo samples, which used compute construct Bayesian credible intervals. Further, present point interval predictions censored using approach. The performance proposed...
The conventional rolling method fails to yield good quality thin foils of thicknesses less than ~ 2 mg/cm2 for high density materials with Z ≥ 70 (e.g. gold, lead). A special and improved technique has been developed obtain such low thickness gold by method. Using this in the range 0.850−2.5 were obtained present work. By making use alcohol during rolling, 1 can be shorter time effort.
Abstract In this paper we consider a modification of Bailey's stochastic model for the spread an epidemic when there are seasonal variations in infection rate. The resulting nonlinear is analyzed by employing diffusion approximation technique. We have shown that large population process, on suitable scaling and normalization, converges to non‐stationary Ornstein‐Uhlenbeck process. Consequently number infectives has steady state gaussian distribution.
Abstract Excited states in the 84 Sr nucleus were investigated via 76 Ge( 12 C,4n) reaction at a beam energy of 58 MeV. The de-excited γ -rays detected using Indian National Gamma Array (INGA) spectrometer Inter-University Accelerator Center, New Delhi. Directional Correlation from Oriented (DCO) ratio and polarization asymmetry (Δ) measurements done to confirm spin-parity low-lying states. Eight new -ray transitions placed level scheme Sr. systematic behaviour staggering S ( I ) -band (Band...