Comparison of missing value estimation techniques in rainfall data of Bangladesh MAI Farzana Jahan,Narayan Chandra Sinha,Md. Mahfuzur Rahman,Md. Morshadur ... Theoretical and Applied Climatology, DOI: https://doi.org/10.1007/s00704-018 …, 2018 | 45* | 2018 |
Water scarcity in Bangladesh: Transboundary rivers, conflict and cooperation Å Kolås, L Barkved, K Edelen, K Hoelscher, S Holen, F Jahan, HB Jha, ... PRIO Report, 2013 | 23 | 2013 |
FACTORS INFLUENCING WOMEN’S DECISION MAKING POWER: EVIDENCE FROM BANGLADESH URBAN HEALTH SURVEY DATA F JAHAN, S HOSSAIN, KMDF MAHMUD IMPACT: International Journal of Research in Applied, Natural and Social …, 2015 | 12 | 2015 |
Water Scarcity in Bangladesh Å Kolås, L Barkved, K Edelen, K Hoelscher, F Jahan, HB Jha Transboundary rivers, conflict and cooperation, PRIO Report, 1-2013, 2000 | 9* | 2000 |
Multivariate Bayesian meta-analysis: joint modelling of multiple cancer types using summary statistics F Jahan, EW Duncan, SM Cramb, PD Baade, KL Mengersen International journal of health geographics 19, 1-19, 2020 | 6 | 2020 |
A survey of Bayesian statistical approaches for big data F Jahan, I Ullah, KL Mengersen Case Studies in Applied Bayesian Data Science: CIRM Jean-Morlet Chair, Fall …, 2020 | 5 | 2020 |
Water Scarcity in Bangladesh: Transboundary Rivers, Conflict and Cooperation; PRIO Report 1-2013 A Kolås, K Edelen, F Jahan, L Barkved, K Hoelscher, HB Jha, ... Peace Research Institute Oslo (PRIO): Oslo, Norway, 2013 | 5 | 2013 |
Augmenting Disease Maps: a Bayesian meta-analysis approach F Jahan, EW Duncan, PD Cramb, Susanna M. , Baade, KL Mengersen Royal Society Open Science 7 (8), 2020 | 3 | 2020 |
An application of the generalized linear model for the geometric distribution F Jahan, B Siddika, MA Islam Journal of Statistics: Advances in Theory and Applications 16 (1), 45-65, 2016 | 3 | 2016 |
Electrical and X-ray photoelectron spectroscopic (XPS) studies on co-evaporated SiO/SnO2 thin films MH Islam, CA Hogarth, F Jahan Journal of Materials Science 25, 1007-1012, 1990 | 3 | 1990 |
Evaluation of spatial Bayesian Empirical Likelihood models in analysis of small area data F Jahan, DW Kennedy, EW Duncan, KL Mengersen PloS one 17 (5), e0268130, 2022 | 2 | 2022 |
Association of genetic polymorphism of glutathione S-transferases with colorectal cancer susceptibility in snuff (Naswar) addicts A Khan, F Jahan, M Zahoor, R Ullah, GM Albadrani, HRH Mohamed, ... Brazilian Journal of Biology 84, e261509, 2022 | 1 | 2022 |
A Poisson-Poisson Model to analyze congestion data F Jahan, B Siddika, RI Chowdhury, MA Islam Advances and Applications in Statistics 52 (1), 55-71, 2018 | 1 | 2018 |
Assessing the influence of the modifiable areal unit problem on Bayesian disease mapping in Queensland, Australia F Jahan, S Haque, J Hogg, A Price, C Hassan, W Areed, H Thompson, ... | | 2024 |
Fluid biomarkers in cerebral amyloid angiopathy SM Savar, B Ma, E Hone, F Jahan, S Markovic, S Pedrini, S Shemehsavar, ... Frontiers in neuroscience 18, 1347320, 2024 | | 2024 |
Baseline diet quality of participants in AU‐ARROW trial based on adherence to the MIND diet recommendations J Chen, CB Castro, M Fernando, SJ Fuller, F Jahan, BM Brown, R Loo, ... Alzheimer's & dementia 19, e079368, 2023 | | 2023 |
Associação de polimorfismo genético de glutationa S-transferase com suscetibilidade ao câncer colorretal em viciados em rapé (Naswar) A Khan, F Jahan, M Zahoor, R Ullah, GM Albadrani, HRH Mohamed, ... Brazilian Journal of Biology 84, e261509, 2022 | | 2022 |
Correction to ‘Augmenting disease maps: a Bayesian meta-analysis approach’ F Jahan, EW Duncan, SM Cramb, PD Baade, KL Mengersen Royal Society Open Science 8 (2), 210085, 2021 | | 2021 |
Erratum: Augmenting disease maps: A Bayesian meta-analysis approach (Royal Society Open Science (2020) 7 (192151 F Jahan, EW Duncan, SM Cramb, PD Baade, KL Mengersen Royal Society Open Science 8 (2), 2021 | | 2021 |
New insights into Bayesian models for spatial data F Jahan Queensland University of Technology, 2021 | | 2021 |