Stochastic Epidemic Models with Inference (Mathematical Biosciences Subseries)
Likely ReadersThe natural reader is students, residents, nurses, and clinicians preparing for board or certification exams. A casual browser may miss the point; this is more useful when the buyer already has a course, rotation, certification, or clinical problem in mind.Overvi...
Likely Readers
The natural reader is students, residents, nurses, and clinicians preparing for board or certification exams. A casual browser may miss the point; this is more useful when the buyer already has a course, rotation, certification, or clinical problem in mind.
Overview
Stochastic Epidemic Models with Inference (Mathematical Biosciences Subseries) reads as a certification and exam review title. It should be judged by usefulness and fit rather than promotional language.
Learning Approach
The workbook or study-guide signal suggests a title meant to be written through, checked, and revisited. It should pair naturally with a main textbook or course sequence.
Editorial Notes
The tone is best approached as professional reference material. It should reward readers who need precise terminology and a clear route back to the subject later.
Book Details
| Author | Tom Britton, Etienne Pardoux, Frank Ball, Catherine Larédo, David Sirl, Viet Chi Tran |
|---|---|
| Publisher | Springer |
| Publication Date | December 1, 2019 |
| Language | English |
| Print Length | 492 pages |
| ISBN-10 | 3030308995 |
| ISBN-13 | 978-3030308995 |
| Format | Paperback |
| Dimensions | 6.1 x 1.11 x 9.25 inches |
| Item Weight | 7.6 ounces |
Book specifications
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