eBook - ePub
Mixture Modelling for Medical and Health Sciences
- 300 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Mixture Modelling for Medical and Health Sciences
About this book
Mixture Modelling for Medical and Health Sciences provides a direct connection between theoretical developments in mixture modelling and their applications in real world problems. The book describes the development of the most important concepts through comprehensive analyses of real and practical examples taken from real-life research problems in
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Information
Topic
MedicineSubtopic
Probability & StatisticsTable of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Dedication
- Contents
- Preface
- 1. Introduction
- 2. Mixture of Normal Distributions for Continuous Data
- 3. Mixture of Gamma Distributions for Continuous Non-Normal Data
- 4. Mixture of Generalized Linear Models for Count or Categorical Data
- 5. Mixture Models for Survival Data
- 6. Advanced Mixture Modelling with Random-Effects Components
- 7. Advanced Mixture Models for Multilevel or Repeated-Measured Data
- 8. Advanced Mixture Models for Correlated Multivariate Continuous Data
- 9. Miscellaneous: Handling of Missing Data
- 10. Miscellaneous: Cluster Analysis of “Big Data” Using Mixture Models
- Bibliography
- Index
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Yes, you can access Mixture Modelling for Medical and Health Sciences by Shu-Kay Ng,Shu Kay Ng,Liming Xiang,Kelvin Kai Wing Yau in PDF and/or ePUB format, as well as other popular books in Medicine & Probability & Statistics. We have over 1.5 million books available in our catalogue for you to explore.