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 medical and health sciences. This approach represents balance between theory and practice stimulating readers and enhancing their capacity to apply mixture models in data analysis. Full of reproducible examples using software code and publicly-available data the book is suitable for graduate-level students researchers and practitioners who have a basic grounding in statistics and would like to explore the use of mixture models to analyse their experiments and research data. FeaturesAn in-depth account of the most up-to-date mixture modelling techniques from auser perspective. Extensive real-life examples â from typical daily problems to complex data modelling. Emphasis on the use of a wide variety of component densities for statistical modelling. Coverage of the latest random-effects models in modelling complex correlated data. An accompanying website to provide supplementary materials including software and detailed programming code and links to available data sources. Provision of R and Fortran code for readers who want to do analysis of their own data using mixture models. ăShu-Kay Angus Ng is Professor of Biostatistics in the School of Medicine at the Griffith University Australia. Dr Ng has published extensively on his research interests which include cluster analysis pattern recognition random-effects modelling and survival analysis. Liming Xiang is Associate Professor of Statistics in the School of Physical & Mathematical Sciences at the Nanyang Technological University Singapore. Her research interests include survival analysis longitudinal/clustered data analysis and mixture models. Kelvin Kai-wing Yau is Professor of Statistics in the Department of Management Sciences at the City University of Hong Kong. He has been involved in various interdisciplinary research projects with journalăpublications in statistics medical and health science journals on topics such as mixed effects models survival analysis and statistical modelling in general.
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 medical and health sciences. This approach represents balance between theory and practice stimulating readers and enhancing their capacity to apply mixture models in data analysis. Full of reproducible examples using software code and publicly-available data the book is suitable for graduate-level students researchers and practitioners who have a basic grounding in statistics and would like to explore the use of mixture models to analyse their experiments and research data. FeaturesAn in-depth account of the most up-to-date mixture modelling techniques from auser perspective. Extensive real-life examples â from typical daily problems to complex data modelling. Emphasis on the use of a wide variety of component densities for statistical modelling. Coverage of the latest random-effects models in modelling complex correlated data. An accompanying website to provide supplementary materials including software and detailed programming code and links to available data sources. Provision of R and Fortran code for readers who want to do analysis of their own data using mixture models. ăShu-Kay Angus Ng is Professor of Biostatistics in the School of Medicine at the Griffith University Australia. Dr Ng has published extensively on his research interests which include cluster analysis pattern recognition random-effects modelling and survival analysis. Liming Xiang is Associate Professor of Statistics in the School of Physical & Mathematical Sciences at the Nanyang Technological University Singapore. Her research interests include survival analysis longitudinal/clustered data analysis and mixture models. Kelvin Kai-wing Yau is Professor of Statistics in the Department of Management Sciences at the City University of Hong Kong. He has been involved in various interdisciplinary research projects with journalăpublications in statistics medical and health science journals on topics such as mixed effects models survival analysis and statistical modelling in general.
Sellers offer a range of delivery options, so you can choose the one thatâs most convenient for you. Many sellers offer free delivery. You can always find the postage cost and estimated delivery date in a sellerâs listing. You'll then be able to see a full list of delivery options during checkout. These can include: Express delivery, Standard delivery, Economy delivery, Click & Collect, Free local collection from seller.
Your options for returning an item vary depending on what you want to return, why you want to return it, and the seller's return policy. If the item is damaged or doesn't match the listing description, you can return it even if the seller's returns policy says they don't accept returns. If you've changed your mind and no longer want an item, you can still request a return, but the seller doesn't have to accept it. If the buyer changes their mind about a purchase and wants to return an item, they may need to pay return postage costs, depending on the seller's return policy. Sellers can provide a return postage address and additional return postage information for the buyer. Sellers pay for return postage if there's a problem with the item. For example, if the item doesn't match the listing description, is damaged or defective or is counterfeit. By law, customers in the European Union also have the right to cancel the purchase of an item within 14 days beginning from the day you receive, or a third party indicated by you (other than the carrier) receives, the last good ordered by you (if delivered separately). This applies to all products except for digital items (e.g. Digital Music) that are provided immediately to you with your acknowledgement, and other items such as video, DVD, audio, video games, Sex and Sensuality products and software products where the item has been unsealed.
Sellers have to offer a refund for certain items only if they are faulty, such as: Personalised items and custom-made items, Perishable items, Newspapers and magazines, Unwrapped CDs DVDs and computer software. If you used your PayPal balance or bank account to fund the original payment, the refunded money will go back to your PayPal account balance. If you used a credit or debit card to fund the original payment, the refunded money will go back to your card. The seller will effect the refund within three working days but it may take up to 30 days for Paypal to process the transfer. For payments funded partially by a card and partially by your balance/bank, the money taken from your card will go back to your card and the remainder will return to your PayPal balance.