Profils utilisateurs correspondant à "Subrata Rana"
Subrata RanaAssistant Professor Adresse e-mail validée de iitp.ac.in Cité 425 fois |
On the approximate solutions of a class of fractional order nonlinear Volterra integro-differential initial value problems and boundary value problems of first kind and …
In this work we consider a class of fractional order Volterra integro-differential equations of
first kind where the fractional derivative is considered in the Caputo sense. Here, we consider …
first kind where the fractional derivative is considered in the Caputo sense. Here, we consider …
A perturbation-based approach for solving fractional-order Volterra–Fredholm integro differential equations and its convergence analysis
The present work considers the approximation of solutions of a type of fractional-order
Volterra–Fredholm integro-differential equations, where the fractional derivative is introduced in …
Volterra–Fredholm integro-differential equations, where the fractional derivative is introduced in …
Higher order accurate approximations on equidistributed meshes for boundary layer originated mixed type reaction diffusion systems with multiple scale nature
In the present research, we consider a boundary layer originated system of reaction
diffusion problems whose boundary conditions are of mixed type. This problem is singularly …
diffusion problems whose boundary conditions are of mixed type. This problem is singularly …
Theoretical prospects of fractional order weakly singular Volterra Integro differential equations and their approximations with convergence analysis
In this research, we study a weakly singular Volterra integro differential equation with
Caputo‐type fractional derivative. First, we derive a sufficient condition for the existence and …
Caputo‐type fractional derivative. First, we derive a sufficient condition for the existence and …
Homotopy perturbation method for solving Caputo‐type fractional‐order Volterra‐Fredholm integro‐differential equations
This work considers the solution of fractional Volterra‐Fredholm integro‐differential equations.
Here, we consider the approximation of the solution based on semi‐analytical approaches…
Here, we consider the approximation of the solution based on semi‐analytical approaches…
A study on the performance of various predictive models based on artificial neural network for backward metal flow forming process
…, R Laha, MK Dikshit, NB Hui, S Rana… - International Journal on …, 2024 - Springer
Backward metal flow forming is an incremental forming process that is used to manufacture
near shape products with precise dimensions. Among the most important application fields …
near shape products with precise dimensions. Among the most important application fields …
Estimation of odds ratio from group testing data with misclassified exposure
For low prevalence disease, we consider estimation of the odds ratio for two specified
groups of individuals using group testing data. Broadly the two groups may be classified as “the …
groups of individuals using group testing data. Broadly the two groups may be classified as “the …
Evaluation of Alzheimer's disease progression based on clinical dementia rating scale with missing responses and covariates
K Das, S Rana, S Roy - Journal of Biopharmaceutical Statistics, 2018 - Taylor & Francis
In clinical trials, patient’s disease severity is usually assessed on a Likert-type scale. Patients,
however, may miss one or more follow-up visits (non-monotone missing). The statistical …
however, may miss one or more follow-up visits (non-monotone missing). The statistical …
On analyzing ordinal data when responses and covariates are both missing at random
S Rana, S Roy, K Das - Statistical Methods in Medical …, 2016 - journals.sagepub.com
In many occasions, particularly in biomedical studies, data are unavailable for some
responses and covariates. This leads to biased inference in the analysis when a substantial …
responses and covariates. This leads to biased inference in the analysis when a substantial …
Clustered data analysis under miscategorized ordinal outcomes and missing covariates
S Roy, S Rana, K Das - Statistics in Medicine, 2016 - Wiley Online Library
The primary objective in this article is to look into the analysis of clustered ordinal model
where complete information on one or more covariates cease to occur. In addition, we also …
where complete information on one or more covariates cease to occur. In addition, we also …