Faculty profile
Nan Zheng
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Research
Latest papers
Addressing age measurement errors in fish growth estimation from length-stratified samples.
Biometrics · 2024 · first author
Local sensitivity equations for maximum sustainable yield reference points.
Theoretical population biology · 2019 · first author
Latest funding
- $30,000
Statistical models and methods for complex data in fisheries and other ecological studies
NSERC · 2024 · Principal investigator
- $12,500
Statistical models and methods for complex data in fisheries and other ecological studies
NSERC · 2024 · Principal investigator
2 publications.
Addressing age measurement errors in fish growth estimation from length-stratified samples.
Zheng N, Kheirollahi A, Yilmaz Y
Local sensitivity equations for maximum sustainable yield reference points.
Zheng N, Wang S, Cadigan N
Statistical models and methods for complex data in fisheries and other ecological studies
Principal investigators: Zheng, Nan
Keywords: modelling of complex fisheries data; spatiotemporal modelling; multivariate tweedie distribution; maximum likelihood estimation; multivariate count data; compositional data; response-selective sampling; covariate measurement errors; state-space model; hidden markov model
Statistical models and methods for complex data in fisheries and other ecological studies
Principal investigators: Zheng, Nan
Keywords: modelling of complex fisheries data; spatiotemporal modelling; multivariate tweedie distribution; maximum likelihood estimation; multivariate count data; compositional data; response-selective sampling; covariate measurement errors; state-space model; hidden markov model
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Yildiz Yilmaz and Nan Zheng: 1 shared paper
- Noel Cadigan and Nan Zheng: 1 shared paper
- Department of Mathematics and Statistics
- Fisheries and Marine Institute
- Mathematics and Statistics
Co-authors at Memorial University of Newfoundland, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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