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Logistic Regression by Hassan Doosti - 9781041248125

£92.24

Logistic RegressionBridging Theory and Practice\nAuthor(s): Hassan Doosti\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: CRC Press\nISBN-13: 9781041248125, 978-1041248125\nSynopsis\nLogistic regression is one of the most widely used tools in statistical modelling, yet the gap between textbook theory and real-world practice remains a persistent challenge for students, researchers, and practitioners alike. This book bridges that gap with a comprehensive, hands-on guide to binary outcome modelling that goes well beyond the basics.\n\nBuilt on a foundation of rigorous statistical theory, the book tackles the messy realities that applied analysts routinely face, including separation, rare events bias, overdispersion, and multicollinearity, offering clear and practical strategies for each. Rather than treating these as edge cases, the author positions them as central concerns deserving serious methodological attention. Modern variable selection strategies .

Logistic Regression by Hassan Doosti - 9781041248125

Logistic RegressionBridging Theory and Practice\nAuthor(s): Hassan Doosti\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: CRC Press\nISBN-13: 9781041248125, 978-1041248125\nSynopsis\nLogistic regression is one of the most widely used tools in statistical modelling, yet the gap between textbook theory and real-world practice remains a persistent challenge for students, researchers, and practitioners alike. This book bridges that gap with a comprehensive, hands-on guide to binary outcome modelling that goes well beyond the basics.\n\nBuilt on a foundation of rigorous statistical theory, the book tackles the messy realities that applied analysts routinely face, including separation, rare events bias, overdispersion, and multicollinearity, offering clear and practical strategies for each. Rather than treating these as edge cases, the author positions them as central concerns deserving serious methodological attention. Modern variable selection strategies .

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