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Targeting quantitative researchers in biology, medicine, ecology, and genetics, the book provides a comprehensive guide for graduate students in statistics and related fields. It features ten detailed examples that illustrate a principled approach to real-world statistical challenges, emphasizing the importance of accommodating correlations in space and time. Key concepts such as observational units, randomization, and treatment assignment are defined early on, while later chapters delve into technical aspects like covariance functions and likelihood ratios, ensuring a thorough understanding of model formulation.
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Ten Projects in Applied Statistics, Peter McCullagh
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- 2023
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