Statistical Models
Statistical models are mathematical representations of a real-world system or phenomenon that are used to analyze and interpret data. These models are built using statistical methods and techniques, and are used to make predictions, identify patterns, and test hypotheses. Statistical models can be used in a wide range of applications, including finance, healthcare, marketing, and social sciences. They can be simple or complex, depending on the complexity of the system being modeled and the amount of data available. Some common types of statistical models include linear regression, logistic regression, time series analysis, and Bayesian models.
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- Non-parametric: Non-parametric refers to statistical methods that do not assume a specific probability distribution for the population being analyzed. These methods are often used when the data does not meet the assumptions of parametric tests, such as nor ... Read More >>
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