maximum likelihood estimation
[/ˈmæksɪməm ˈlaɪklɪhʊd ˌɛstɪˈmeɪʃən/]
noun
estimação de máxima verossimilhança
1. A statistical method for estimating the parameters of a probability distribution by finding the values that maximize the likelihood function, which measures the probability of observing the given data under different parameter values.
Maximum likelihood estimation is widely used in econometrics to estimate regression coefficients.
A estimação de máxima verossimilhança é amplamente utilizada em econometria para estimar coeficientes de regressão.
2. An optimization technique that selects parameter estimates that make the observed data most probable under the assumed statistical model.
The researcher applied maximum likelihood estimation to fit the logistic regression model to the binary outcome data.
O pesquisador aplicou a estimação de máxima verossimilhança para ajustar o modelo de regressão logística aos dados de resultado binário.
Maximum likelihood estimation is a fundamental concept taught in statistics, economics, and engineering programs worldwide. In Brazilian and Portuguese universities, it is a core topic in econometrics and applied statistics courses. The term is used identically in academic and professional contexts across both English-speaking countries and Portuguese-speaking regions, making it a truly universal statistical concept in scientific communication.
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