Banca de DEFESA: Ana Lívia Protázio Sá

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : Ana Lívia Protázio Sá
DATE: 17/11/2022
TIME: 10:00
LOCAL: On-line
TITLE:

Bivariate Log-Symmetric Models: Theoretical Properties and Parametric Estimation

KEY WORDS:

Bivariate Log-symmetric Models. Monte Carlo simulation. maximum likelihood method. R software.

PAGES: 75
BIG AREA: Ciências Exatas e da Terra
AREA: Probabilidade e Estatística
SUMMARY:

The bivariate Gaussian distribution has been the basis of probability and statistics for many years. Nonetheless, this distribution faces some problems, mainly due to the fact that many real-world phenomena generate data that follow asymmetric distributions. Bidimensional log symmetric models have attractive properties and can be considered as good alternatives to solve this problem. In this dissertation, we propose new characterizations of bivariate log-symmetric distributions and their applications. This dissertation aims to develop important contributions to probability, theoretical and applied statistics due to the flexibility and interesting properties of the outlined models.

BANKING MEMBERS:
Interna - 2279025 - CIRA ETHEOWALDA GUEVARA OTINIANO
Externo à Instituição - JEREMIAS DA SILVA LEÃO - UFAM
Interno - 3000126 - JOSE AUGUSTO FIORUCCI
Presidente - 2357165 - ROBERTO VILA GABRIEL