Bayesian analysis of infectious diseases : COVID-19 and beyond /: COVID-19 and beyond. (2021)

• Record Type: Book
• Further Information: Note: Lyle D. Broemeling.
• Authors: Broemeling, Lyle D, 1939-
• Contents: Contents Author ……………………………………………………………….….………iv; 1. Introduction to Bayesian Inferences for Infectious Diseases ..................1 2. Bayesian Analysis ...........................................................................................5 3. Infectious Diseases .................................................................................. .....39 4. Bayesian Inference for Discrete Markov Chains: Their Relevance to Infectious Diseases .....................................................59 5. Biological Examples Modeled by Discrete Markov Chains ................ 113 6. Inferences for Markov Chains in Continuous Time .............................149 7. Bayesian Inference: Biological Processes that Follow a Continuous Time Markov Chain ...........................................................195 8. Additional Information about Infectious Diseases ..............................253 Index ..................................................................................................... 315
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2021
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 616.90015195; Communicable diseases -- Statistics; Bayesian statistical decision theory
• Languages: English
• ISBNs: 9781000336474; 9781000336313; 9781003125983
• Related ISBNs: 9780367633868
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.