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of 152
pro vyhledávání: '"Jayanta K. Ghosh"'
Publikováno v:
Mathematics and Computers in Simulation
This manuscript describes a mathematical epidemiological model of COVID-19 to investigate the dynamics of this pandemic disease and we have fitted this model to the current COVID-19 cases in Italy. We have obtained the basic reproduction number which
Publikováno v:
Stochastic Hydraulics 2000 ISBN: 9781003078630
Stochastic Hydraulics 2000
Stochastic Hydraulics 2000
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4f58cc01ccc1d12b279628a10006498
https://doi.org/10.1201/9781003078630-30
https://doi.org/10.1201/9781003078630-30
Publikováno v:
Microwave and Optical Technology Letters. 59:2174-2179
Publikováno v:
Sankhya B. 78:215-237
Certain discrepancies in data sources for estimating the household consumption expenditure to derive Gross Domestic Product(GDP) of India are discussed in this paper. Simple implementable strategies are suggested to improve the estimation of GDP.
Autor:
Jayanta K. Ghosh, Jyotishka Datta
Publikováno v:
Statistical Methodology. 20:63-72
We review a few unusual aspects of Bootstrap and some of the recent theoretical as well as methodological advances. We discuss the handling of non-linearity by Bootstrap through a numerical example in Section 2 . Application to the estimation of high
Autor:
Jayanta K. Ghosh, Somnath Bhattacharya, Nitish Kumar, Tapas Sabui, Kalyanbrata Mandal, Rakesh Mondal, Sumantra Sarkar, Toshibananda Bag, Madhumita Nandi
Publikováno v:
The Indian Journal of Pediatrics. 79:1347-1350
To determine the socio-medical profile of child workers in Indian railways. This was a prospective longitudinal survey over one year. The children up to the age of 14 y entering the reserved second class sleeper compartment of long distance trains in
Autor:
Jayanta K. Ghosh, Gang Shen
Publikováno v:
Journal of Statistical Planning and Inference. 141:1436-1447
Usual derivation of BIC for the marginal likelihood of a model or hypothesis via Laplace approximation does not hold for a change-point which is a discrete parameter. We provide an analogue l BIC, which is a lower bound to the marginal likelihood of
Autor:
Junyong Park, Jayanta K. Ghosh
Publikováno v:
Sankhya A. 72:81-100
We survey some recent work in high dimensional multiple testing estimation and other multivariate inference problems depending on random matrices and graphical problems. Different approaches to these problems are explored featuring classical procedur
Publikováno v:
Quality and Reliability Engineering International. 24:627-641
We consider the situation in which a large database needs to be analyzed to identify a few important predictors of a given quantitative response variable. There is a lot of evidence that in this case classical model selection criteria, such as the Ak
Autor:
Jayanta K. Ghosh, Junyong Park
Publikováno v:
Journal of Statistical Planning and Inference. 137:3687-3705
In this paper, we consider the classification problem when the predictors are multivariate binary random variables. Variables are modeled as independent, but not necessarily identical, Bernoulli. A triangular array for parameters, ( p 11 ( n ) , …