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Exercise Book of Statistical Inference
Exercise Book of Statistical Inference
Exercise Book of Statistical Inference
Exercise Book of Statistical Inference
Exercise Book of Statistical Inference
Exercise Book of Statistical Inference

Exercise Book of Statistical Inference

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Exercise Book of Statistical InferenceAuthor(s): Francesca Gasperoni, Francesca Ieva, Anna Maria Paganoni\nFormat: Paperback\nPublisher: Springer International Publishing AG, Switzerland\nImprint: Springer International Publishing AG\nISBN-13: 9783031866692, 978-3031866692\nSynopsis\nThis book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. The first part of the book is primarily focused on exercises to be solved with pen and paper, so that students can apply knowledge derived from lemmas and theorems; while the second part consists of labs, which involve both the manual implementation of algorithms and the learning of built-in tools for efficient analysis of datasets derived from real-world problems. To optimize the understanding of the topics developed and to guide the reader through their studies, the book is organized into chapters, each of which includes an i.

Exercise Book of Statistical Inference

Exercise Book of Statistical InferenceAuthor(s): Francesca Gasperoni, Francesca Ieva, Anna Maria Paganoni\nFormat: Paperback\nPublisher: Springer International Publishing AG, Switzerland\nImprint: Springer International Publishing AG\nISBN-13: 9783031866692, 978-3031866692\nSynopsis\nThis book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. The first part of the book is primarily focused on exercises to be solved with pen and paper, so that students can apply knowledge derived from lemmas and theorems; while the second part consists of labs, which involve both the manual implementation of algorithms and the learning of built-in tools for efficient analysis of datasets derived from real-world problems. To optimize the understanding of the topics developed and to guide the reader through their studies, the book is organized into chapters, each of which includes an i.

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