G Srinivasa Rao
Biographic Data
| ID | 7903196 |
|---|---|
| NAME | G Srinivasa Rao |
| GIVEN NAMES | G Srinivasa |
| FAMILY NAME | Rao |
| SIGNATURE | RAO G S |
| AFFILIATIONS | The University of Dodoma |
| ORCID | 0000-0002-3683-5486 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Determinants of child labor in Tanzania
In Tanzania, millions of children continue to engage in hazardous, exploitative jobs, making it difficult for them to receive an education and enjoy a safe upbringing. This study aims to identify the major variables that affect child labor in Tanzania using data from the Integrated Labour Force Survey 2020/2021. Unweighted binary generalized estimating equation models are used in the study to evaluate the individual, family, and social factors th…
Sampling Inspection Plan to Test Daily Covid-19 Cases Using Gamma Distribution under Indeterminacy Based on Multiple Dependent Scheme
The purpose of this paper is to develop a multiple dependent state (MDS) sampling plan based on time-truncated sampling schemes for the daily number of cases of the coronavirus disease COVID-19 using gamma distribution under indeterminacy. The proposed sampling scheme parameters include average sample number (ASN) and accept and reject sample numbers when the indeterminacy parameter is known. In addition to the parameters of the proposed sampling…
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Sampling Inspection Plan to Test Daily Covid-19 Cases Using Gamma Distribution under Indeterminacy Based on Multiple Dependent Scheme
The purpose of this paper is to develop a multiple dependent state (MDS) sampling plan based on time-truncated sampling schemes for the daily number of cases of the coronavirus disease COVID-19 using gamma distribution under indeterminacy. The proposed sampling scheme parameters include average sample number (ASN) and accept and reject sample numbers when the indeterminacy parameter is known. In addition to the parameters of the proposed sampling…
Determinants of child labor in Tanzania
In Tanzania, millions of children continue to engage in hazardous, exploitative jobs, making it difficult for them to receive an education and enjoy a safe upbringing. This study aims to identify the major variables that affect child labor in Tanzania using data from the Integrated Labour Force Survey 2020/2021. Unweighted binary generalized estimating equation models are used in the study to evaluate the individual, family, and social factors th…
Advanced Statistical Process Monitoring (1 work) · Business (1 work) · Child Nutrition and Water Access (1 work) · Computer Science (1 work) · Econometrics (1 work) · Economics (1 work) · HIV/AIDS Impact and Responses (1 work) · Indeterminacy (philosophy (1 work) · Machine Learning and Algorithms (1 work) · Mathematics (1 work)