Aquaculture and Fishery Statistical Analysis

Categorical data analysis of contingency tables and measures of association, Logistic regression and log linear models; generalized linear models, Bioassay analysis, Generalized estimating equations, Weighted least squares regression, Exact methods, Zero-inflated Poisson regression, Zero-inflated negative binomial regression. Bayesian analysis modelling and inference for generalized linear models, accelerated life failure models, Cox regression models and piece wise exponential models, General procedure fits Bayesian models with arbitrary priors and likelihood functions. Multivariate analysis , Factor analysis, Principal components, Canonical correlation and discriminate analysis, Path analysis, Structural equations. Survival analysis are Comparison of survival distributions, Accelerated failure time models, Proportional hazards models. Psychometric analysis are Multidimensional scaling, Conjoint analysis with variable transformations, Correspondence analysis. Cluster analysis are hierarchical clustering of multivariate data or distance data, Disjoint clustering of large data sets, Nonparametric clustering with hypothesis tests for the number of clusters.

  • Track 1-1 Categorical Data Analysis
  • Track 2-2 Bayesian Analysis
  • Track 3-3 Multivariate Analysis
  • Track 4-4 Survival Analysis
  • Track 5-5 Psychometric Analysis
  • Track 6-6 Psychometric Analysis
  • Track 7-7 Cluster Analysis
  • Track 8-8 Nonparametric Analysis
  • Track 9-9 Survey Data Analysis

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