Compartir
Model-Based Geostatistics for Global Public Health: Methods and Applications (Chapman & Hall (en Inglés)
Peter J. Diggle
(Autor)
·
Emanuele Giorgi
(Autor)
·
CRC Press
· Tapa Blanda
Model-Based Geostatistics for Global Public Health: Methods and Applications (Chapman & Hall (en Inglés) - Diggle, Peter J. ; Giorgi, Emanuele
$ 54.470
$ 90.790
Ahorras: $ 36.320
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis Listas
Origen: Estados Unidos
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Jueves 23 de Mayo y el
Miércoles 05 de Junio.
Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.
Reseña del libro "Model-Based Geostatistics for Global Public Health: Methods and Applications (Chapman & Hall (en Inglés)"
Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics, its implementation in open-source software and its application in public health research. In the public health problems that are the focus of this book, the authors describe and explain the pattern of spatial variation in a health outcome or exposure measurement of interest. Model-based geostatistics uses explicit probability models and established principles of statistical inference to address questions of this kind.Features: Presents state-of-the-art methods in model-based geostatistics.Discusses the application these methods some of the most challenging global public health problems including disease mapping, exposure mapping and environmental epidemiology.Describes exploratory methods for analysing geostatistical data, including: diagnostic checking of residuals standard linear and generalized linear models; variogram analysis; Gaussian process models and geostatistical design issues. Includes a range of more complex geostatistical problems where research is ongoing.All of the results in the book are reproducible using publicly available R code and data-sets, as well as a dedicated R package.This book has been written to be accessible not only to statisticians but also to students and researchers in the public health sciences.The AuthorsPeter Diggle is Distinguished University Professor of Statistics in the Faculty of Health and Medicine, Lancaster University. He also holds honorary positions at the Johns Hopkins University School of Public Health, Columbia University International Research Institute for Climate and Society, and Yale University School of Public Health. His research involves the development of statistical methods for analyzing spatial and longitudinal data and their applications in the biomedical and health sciences.Dr Emanuele Giorgi is a Lecturer in Biostatistics and member of the CHICAS research group at Lancaster University, where he formerly obtained a PhD in Statistics and Epidemiology in 2015. His research interests involve the development of novel geostatistical methods for disease mapping, with a special focus on malaria and other tropical diseases. In 2018, Dr Giorgi was awarded the Royal Statistical Society Research Prize "for outstanding published contribution at the interface of statistics and epidemiology." He is also the lead developer of PrevMap, an R package where all the methodology found in this book has been implemented.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
Todos los libros de nuestro catálogo son Originales.
El libro está escrito en Inglés.
La encuadernación de esta edición es Tapa Blanda.
✓ Producto agregado correctamente al carro, Ir a Pagar.
