Narayan Chandra Sinha

ORCID: 0000-0001-9610-360X
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About
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Research Areas
  • Hydrology and Drought Analysis
  • Statistical Methods and Bayesian Inference
  • Climate variability and models
  • Agricultural risk and resilience
  • Climate change impacts on agriculture
  • Bayesian Methods and Mixture Models
  • Precipitation Measurement and Analysis

Weatherford College
2011

University of Dhaka
2011

Bangladesh Institute of Development Studies
2011

Bangladesh University
2011

Ministry of Home Affairs
2011

Logistic regression models for transition probabilities of higher order Markov are developed the sequence chain dependent repeated observations. To identify significance these and their parameters a test procedure likelihood ratio criterion is developed. A method model selection suggested on basis AIC BIC procedures. The proposed procedures applied to analyze occurrences daily rainfall data selected stations in Bangladesh. Based results from models, first temperature humidity provided most...

10.22237/jmasm/1304224200 article EN Journal of Modern Applied Statistical Methods 2011-05-01

Abstract Having the adequate knowledge about behavior of climatic variables on occurrences rainfall is needed to country’s economists and agriculturists for saving people from devastating natural hazards like flash flood, drought, heavy rainfall, etc. Therefore, study has been taken initiative identify influence rainfall. The developed generalized linear models (GLMs) Poisson distribution weekly fortnightly count data daily summer monsoon seasons five regional stations Bangladesh. For these...

10.1007/s42452-021-04467-x article EN cc-by SN Applied Sciences 2021-03-20
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