Mixture Modelling for Medical and Health Sciences

Discover the essential insights of Mixture Modelling for Medical and Health Sciences by Shu-Kay Ng, published by Taylor & Francis Inc in 2019. This comprehensive hardback edition spans 302 pages and is tailored for professionals in the medical and health sciences fields.

This book delves into full analyses of real data sets, addressing the specific needs and requirements of end users. It introduces fundamental theories while emphasizing the real-world challenges posed by actual data. Readers will appreciate the clear explanations of crucial concepts, with a focus on practical applications rather than extensive mathematical derivations.

Whether you are a seasoned researcher or a newcomer to biometry, Mixture Modelling for Medical and Health Sciences offers valuable insights to enhance your understanding and application of mixture modeling techniques in health-related research.