A5012605473- Statistical Distribution Estimation and Applications
- Probabilistic and Robust Engineering Design
- Statistical Methods and Bayesian Inference
- Distributed and Parallel Computing Systems
- Historical and Contemporary Political Dynamics
- Distributed systems and fault tolerance
- Software System Performance and Reliability
- Peer-to-Peer Network Technologies
- Reliability and Maintenance Optimization
- Advanced Statistical Methods and Models
- Metaheuristic Optimization Algorithms Research
- Artificial Intelligence in Games
- Cloud Computing and Resource Management
- Hydrology and Drought Analysis
- Sugarcane Cultivation and Processing
- Quality and Supply Management
- Colonial History and Postcolonial Studies
- Petri Nets in System Modeling
- Service-Oriented Architecture and Web Services
- American Constitutional Law and Politics
- Financial Risk and Volatility Modeling
- Energy Load and Power Forecasting
- Product Development and Customization
- Indian History and Philosophy
- Religion, Society, and Development
North Bengal University
2016-2022
Visva-Bharati University
2014
University of Waterloo
2013
University of British Columbia
2004
A new distribution, called Odds Generalized Exponential-Exponential distribution (OGEED) is proposed for modeling lifetime data. comprehensive account of the mathematical properties including estimation and simulation issues presented. data set has been analyzed to illustrate its applicability.
In this paper, we present a new family, depending on additive Weibull random variable as generator, called the generalized generated-family (GAW-G) of distributions with two extra parameters. The proposed family involves several most famous classical well Weibull-G which already accomplished by Cordeiro et al. (2015). Four special models are displayed. expressions for incomplete and ordinary moments, quantile, order statistics, mean deviations, Lorenz Benferroni curves derived. Maximum...
A new distribution, called Odds Generalized Exponential-Pareto distribution (OGEPD) is proposed for modeling lifetime data.A comprehensive account of the mathematical properties including estimation and simulation issues presented.A data set has been analyzed to illustrate its applicability.
In this paper, a new class of distributions, called Odds xgamma-G (OXG-G) family distribu- tions is proposed for modeling lifetime data. A comprehensive account the mathematical proper- ties including estimation issue presented. Two data sets have been analyzed to illustrate its applicability.
A new generalization of inverse Lindley distribution, called Kumaraswamy is presented in this study.Some mathematical expressions are determined for the proposed distribution.Significant statistical measures deduced including quantiles, generating functions, ordinary and incomplete moments, entropies, mean deviations, order statistics.Some other properties like median, mean, variance, coefficient variation, coefficients skewness, kurtosis characterized.Moreover, stress-strength reliability...
The March, 1942 is marked with the event of Cripps Mission in India.Sending by British war cabinet, main purpose this was to gain India's political and military support.Because during early period Second World War , Britain too much disturbed victories Axis powers joining Japan groups.In crucial situation possibility Japanese attack on India raised.That's why launched.But its offer i.e. Dominion Status after not a single word mention for time National Government Compelled Indian leaders...
Event monitoring and logging, that is, recording the communication events between processes, is a critical component in many highly reliable distributed systems. The event logs enable identification of certain safety-condition violations, such as race conditions mutual-exclusion safety generally contingent on processes communicating specific causally ordered pattern. Previous e orts at finding patterns have often focused online techniques, which are unable to identify operational problems...
A new class of distributions, called Generalized One Parameter Polynomial Exponential-G family distributions is proposed for modelling lifetime data. An account the structural and reliability properties presented. Maximum likelihood estimation parameters has been described. Simulation study results have reported. Two data sets analyzed to illustrate its applicability.