Model-based Geostatistics for Global Public Health: Methods and Applications (Chapman & Hall/CRC Interdisciplinary Statistics)
Best FitThis book is most likely to serve medicine readers, medical students, clinicians, and healthcare library buyers. It can also fill a practical shelf role for departments that keep focused references close at hand.Bookstore ViewModel-based Geostatistics for Global Public...
Best Fit
This book is most likely to serve medicine readers, medical students, clinicians, and healthcare library buyers. It can also fill a practical shelf role for departments that keep focused references close at hand.
Bookstore View
Model-based Geostatistics for Global Public Health: Methods and Applications (Chapman & Hall/CRC Interdisciplinary Statistics) sits in a focused part of the medical catalog: public health. It is not positioned as casual health reading; the useful material is tied to a defined clinical, academic, or technical task.
The listing points toward workflow, implementation, or troubleshooting concerns, which makes the book more practical than purely theoretical.
Coverage Notes
- Workflow, integration, or troubleshooting coverage gives the book practical value for operational settings.
- Guideline, policy, or evidence-based material gives the book a useful connection to current practice standards.
How to Use It
A sensible reading path would start with public health, then branch into the sections that answer the reader’s immediate clinical or academic question.
Reading Notes
Expect practical density. The material is likely more useful beside a workflow problem, implementation task, or troubleshooting question than as a purely academic read.
Book Details
| Author | Peter J. Diggle, Emanuele Giorgi |
|---|---|
| Publisher | Chapman and Hall/CRC |
| Publication Date | March 4, 2019 |
| Language | English |
| Print Length | 274 pages |
| ISBN-13 | 978-1351743273 |
| Format | Hardcover | Paperback |
Book specifications
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