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Generalized linear models (GLMs) extend the traditional linear regression framework to accommodate response variables that do not necessarily follow a normal distribution. They provide a flexible approach to modeling relationships between a set of predictors and various types of dependent variables.

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Generalized Linear Models

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  • 发表日期：

    2026年

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  • Mike Nguyen

摘要

Generalized linear models (GLMs) extend the traditional linear regression framework to accommodate response variables that do not necessarily follow a normal distribution. They provide a flexible approach to modeling relationships between a set of predictors and various types of dependent variables.