EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Spatio-Temporal Methods in Environmental Epidemiology with R 2nd edition Gavin Shaddick

Name: Spatio-Temporal Methods in Environmental Epidemiology with R 2nd edition Gavin Shaddick
SKU: BELL-56637004
Price: 31.00 USD
Availability: InStock
Rating: 4 (6 reviews)

SKU: BELL-56637004

$ 31.00 ~~$ 45.00~~ (-31%)

4.0

6 reviews

Spatio-Temporal Methods in Environmental Epidemiology with R 2nd edition Gavin Shaddick instant download after payment.

Publisher: CRC Press

File Extension: PDF

File size: 42.34 MB

Pages: 458

Author: Gavin Shaddick, James V. Zidek, Alexandra M. Schmidt

ISBN: 9781032397818, 9781003352655, 9781003808039, 1032397810, 1003352650, 1003808034

Language: English

Year: 2023

Edition: 2

Product desciption

Spatio-Temporal Methods in Environmental Epidemiology with R 2nd edition Gavin Shaddick by Gavin Shaddick, James V. Zidek, Alexandra M. Schmidt 9781032397818, 9781003352655, 9781003808039, 1032397810, 1003352650, 1003808034 instant download after payment.

This edition: Includes new chapter on data science Updated material on measurement error, deterministic modeling, infectious diseases, preferential sampling Introduces modern computational methods, including INLA, together with code for implementation Represents major new direction in environmental epidemiology Full color throughout Underscores increasing need to consider dependencies in both space and time when modeling epidemiological data. Students learn how to identify and model patterns in spatio-temporal data as well as exploit dependencies over space and time to reduce bias and inefficiency.