Sujit K Ghosh
Dados Biográficos
| ID | 6839207 |
|---|---|
| NOME | Sujit K Ghosh |
| PRENOMES | Sujit K |
| SOBRENOME | Ghosh |
| ASSINATURA | GHOSH S K |
| AFILIAÇÕES | North Carolina State University |
| ORCID | 0000-0001-8351-408X |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1998 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2024 |
| ÍNDICE H | 0 |
Assessing Child Health in India
While developing a child health index is of interest, it is particularly important in the Indian context, because of a high burden of poor child health, the disparities in child health between different social, economic, and geographical regions and the absence of such a comprehensive index. This paper focuses on the development and validation of a Child Health Index (CHI) for India. Using publicly available data at the district level and princip…
Unintended environmental benefits of crop insurance
Nonparametric Estimation and Testing for Positive Quadrant Dependent Bivariate Copula
In many practical scenarios (e.g., finance, system reliability, etc.), it is often of interest to estimate a bivariate distribution and test for some desired association properties like positive quadrant dependent (PQD) or negative quadrant dependent (NQD). Often estimation and testing for PQD/NQD property are performed using copula models as it then eliminates the need for estimating marginal distributions. Many parametric copula families have b…
Exploring the Usefulness of Meteorological Data for Predicting Malaria Cases in Visakhapatnam, Andhra Pradesh
Malaria and dengue fever are among the most important vectorborne diseases in the tropics and subtropics. Average weekly meteorological parameters—specifically, minimum temperature, maximum temperature, humidity, and rainfall—were collected using data from 100 automated weather stations from the Indian Space Research Organization. We obtained district-level weekly reported malaria cases from the Integrated Disease Surveillance Program (IDSP), Dep…
Spatio-Temporal Modeling of Residential Sales Data
This article focuses on the location, time, and spatio-temporal components associated with suitably aggregated data to improve prediction of individual asset values. Such effects are introduced in the context of hierarchical models, which we find more natural than attempting to model covariance structure. Indeed, our cross-sectional database, a sample of 7,936 transactions for 49 subdivisions over a 10-year period in Baton Rouge, Louisiana, precl…
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Spatio-Temporal Modeling of Residential Sales Data
This article focuses on the location, time, and spatio-temporal components associated with suitably aggregated data to improve prediction of individual asset values. Such effects are introduced in the context of hierarchical models, which we find more natural than attempting to model covariance structure. Indeed, our cross-sectional database, a sample of 7,936 transactions for 49 subdivisions over a 10-year period in Baton Rouge, Louisiana, precl…
Exploring the Usefulness of Meteorological Data for Predicting Malaria Cases in Visakhapatnam, Andhra Pradesh
Malaria and dengue fever are among the most important vectorborne diseases in the tropics and subtropics. Average weekly meteorological parameters—specifically, minimum temperature, maximum temperature, humidity, and rainfall—were collected using data from 100 automated weather stations from the Indian Space Research Organization. We obtained district-level weekly reported malaria cases from the Integrated Disease Surveillance Program (IDSP), Dep…
Nonparametric Estimation and Testing for Positive Quadrant Dependent Bivariate Copula
In many practical scenarios (e.g., finance, system reliability, etc.), it is often of interest to estimate a bivariate distribution and test for some desired association properties like positive quadrant dependent (PQD) or negative quadrant dependent (NQD). Often estimation and testing for PQD/NQD property are performed using copula models as it then eliminates the need for estimating marginal distributions. Many parametric copula families have b…
Unintended environmental benefits of crop insurance
Assessing Child Health in India
While developing a child health index is of interest, it is particularly important in the Indian context, because of a high burden of poor child health, the disparities in child health between different social, economic, and geographical regions and the absence of such a comprehensive index. This paper focuses on the development and validation of a Child Health Index (CHI) for India. Using publicly available data at the district level and princip…
Computer Science (3 obras) · Econometrics (3 obras) · Geography (3 obras) · Mathematics (3 obras) · Statistics (3 obras) · Environmental health (2 obras) · Environmental Science (2 obras) · Medicine (2 obras) · Population (2 obras) · Agricultural economics (1 obras)