Jean is learning what it takes to move on in life…after death. In between reminiscing about her experiences with the mad-cap friends she's left behind and getting to know the other residents, Jean must also work on her advancement to the next level of existence. To complicate matters, she and her new companions must unravel a mystery and find its solution before any of them are allowed to advance. But the more Jean looks for solutions, the more problems she encounters. Will the pieces ever fit together? Will Jean and her friends ever be able to advance beyond Peaceful Gardens? It will take all the resources of the residents, including two little girls born a century apart and a caretaker with a problem of his own, before the puzzle can be completed and Jean can continue on her journey.
Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE) approach for modeling continuous spatial processes with a Matérn covariance, which has been implemented using the integrated nested Laplace approximation (INLA) in the R-INLA package. Key concepts about modeling spatial processes and the SPDE approach are explained with examples using simulated data and real applications. This book has been authored by leading experts in spatial statistics, including the main developers of the INLA and SPDE methodologies and the R-INLA package. It also includes a wide range of applications: * Spatial and spatio-temporal models for continuous outcomes * Analysis of spatial and spatio-temporal point patterns * Coregionalization spatial and spatio-temporal models * Measurement error spatial models * Modeling preferential sampling * Spatial and spatio-temporal models with physical barriers * Survival analysis with spatial effects * Dynamic space-time regression * Spatial and spatio-temporal models for extremes * Hurdle models with spatial effects * Penalized Complexity priors for spatial models All the examples in the book are fully reproducible. Further information about this book, as well as the R code and datasets used, is available from the book website at http://www.r-inla.org/spde-book. The tools described in this book will be useful to researchers in many fields such as biostatistics, spatial statistics, environmental sciences, epidemiology, ecology and others. Graduate and Ph.D. students will also find this book and associated files a valuable resource to learn INLA and the SPDE approach for spatial modeling.
This easy-to-understand pocketbook in the highly respected Clark’s stable of diagnostic imaging texts is an invaluable tool for student and practising radiographers, providing practical guidance to undertaking a wide range of mobile and theatre imaging examinations in multiple locations − different theatre environments, the Emergency Department, Intensive Care Units, including Neonatal Intensive Care Units, and on general wards. Carrying out examinations outside the imaging suite can be particularly challenging, given the circumstances in which they are often requested, the condition of the patient and the complexity of the environment. Additionally, management of the team and area from a radiation protection point of view is the responsibility of the radiographer and requires excellent communication skills. Clark’s Essential Guide to Mobile and Theatre Imaging takes the systematic approach adopted within books in the Clark's family and is designed to be clear and consistent, in which each imaging location is explored, the challenges of each identified and possible solutions presented. A wide range of theatre procedures is included, as well as the imaging requirements of each, and common theatre practices, such as time out, are considered.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.