Opening book details…
Can I read Spatio–Temporal Methods in Environmental Epidemiology with R (Chapman & Hall/CRC Texts in Statistical Science) on EtoBox?
Spatio–Temporal Methods in Environmental Epidemiology with R (Chapman & Hall/CRC Texts in Statistical Science) by Gavin Shaddick, James V. Zidek, Alexandra M. Schmidt is a medicine available to read on EtoBox.
What is Spatio–Temporal Methods in Environmental Epidemiology with R (Chapman & Hall/CRC Texts in Statistical Science) about?
Spatio-Temporal Methods in Environmental Epidemiology with R, like its First Edition, explores the interface between environmental epidemiology and spatio-temporal modeling. It links recent developments in spatio-temporal theory with epidemiological applications. Drawing on real-life problems, it shows how recent advances in methodology can assess the health risks associated with environmental hazards. The book's clear guidelines enable the implementation of the methodology and estimation of ris
Who reads Spatio–Temporal Methods in Environmental Epidemiology with R (Chapman & Hall/CRC Texts in Statistical Science)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Gavin Shaddick, James V. Zidek, Alexandra M. Schmidt
- Publisher
- Chapman and Hall/CRC
- Published
- 2023
- Language
- EN
- ISBN
- 9781003808039
- Category
- medicine
- Subjects
- Mathematics, Medical, Medicine
- Updated
- 2026-03-25
Other editions & translations
More by Gavin Shaddick, James V. Zidek, Alexandra M. Schmidt
Browse all works by Gavin Shaddick, James V. Zidek, Alexandra M. Schmidt
Similar books
- Spatio-temporal Methods In Environmental Epidemiology (chapman & Hall/crc Texts In Statistical Science) — Gavin Shaddick; James V. Zidek (2015)
- Spatio-Temporal Statistics with R (Chapman & Hall/CRC The R Series) — Christopher Wikle; Andrew Zammit Mangion; Noel A.C. Cressie (2019)
- Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science) — John Kloke, University of Wisconsin, Madison, WI, USA, Joseph W. McKean, Western Michigan University, Kalamazoo, MI, (2014)
- Bayesian Modelling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics) — SUJIT KUMAR. SAHU (2022)
- Using R for Bayesian Spatial and Spatio-Temporal Health Modeling (Chapman & Hall/CRC The R Series) — Andrew B. Lawson (2021)
- Statistical Methods for Dynamic Disease Screening and Spatio-Temporal Disease Surveillance (Chapman & Hall/CRC Biostatistics Series) — Peihua Qiu (2024)