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The "Statistical Models" category encompasses a range of books that delve into the theoretical and practical aspects of constructing and applying statistical models to analyze data. These books typically cover a variety of topics, including the formulation of models, estimation of parameters, hypothesis testing, and model validation. They may explore different types of models such as linear regression, logistic regression, time series models, and Bayesian models, among others. The category is designed for readers who are interested in understanding how statistical models can be used to make inferences, predictions, and decisions based on data. Whether aimed at beginners or advanced practitioners, these books often include real-world applications across various fields such as economics, biology, engineering, and social sciences, providing readers with the tools and knowledge to apply statistical reasoning to complex problems.

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