Development and comparison of techniques of experiment planning and optimal designs. Development and comparison of statistical techniques and models, classical and Bayesian, univariate and multivariate for the analysis of data obtained from previously planned experiments and studies by sampling, possibly taking into consideration spatial distribution and temporal distribution and possible neighborhood effects.
Development and comparison of techniques of linear statistical models, generalized linear models and nonlinear models under classical and Bayesian approach for the analysis of discrete and continuous data, incorporating overdispersion, and excess zeros, repeated measures, and growth curves. Genetic models.
Development and comparison of techniques in the Spatial Statistics, Geostatistics, Time Series and Spatial Time Series Analysis under a classical and Bayesian approach.
Idemauro Antonio Rodrigues de Lara | |||||
Sonia Maria de Stefano Piedade | |||||
Taciana Villela Savian | |||||
Vitor Augusto Ozaki |
Development and comparison of techniques and statistical models to analyze data whose dependent variable is the time until the occurrence of an event (e.g., death of an individual, germinating a seed, gain of a given weight). These data are often censored, that is, observations are incomplete in that, for some reason, the event or the time of the event cannot be observed, causing further complications for analysis and the need for new methods. Classical and Bayesian approach.
Clarice Garcia Borges Demétrio | |||||
Edwin Moises Marcos Ortega | |||||
Fábio Prataviera | |||||
Rafael de Andrade Moral |