Covering a growing area of research, Spatial Analysis highlights the latest advances in the field with an emphasis on applications. Written by world-renowned authors, this breakthrough text provides insight into the statistical investigation of the interdependence of random variables as a function of their proximity in space and time. The first work to provide this blend of theory and application, this text is essential for advanced undergraduate and postgraduate students, as well as researchers in the field. Numerous examples and exercises are included at the end of each chapter.
John T. Kent is a Professor in the Department of Statistics at the University of Leeds, UK. He began his career as a research fellow at Sidney Sussex College, Cambridge before moving to the University of Leeds. He has published extensively on various aspects of statistics, including infinite divisibility, directional data analysis, multivariate analysis, inference, robustness, shape analysis, image analysis, spatial statistics, and spatial-temporal modelling.
Kanti V. Mardia is a Senior Research Professor and Leverhulme Emeritus Fellow in the Department of Statistics at the University of Leeds, and a Visiting Professor at the University of Oxford. During his career he has received many prestigious honours, including in 2003 the Guy Medal in Silver from the Royal Statistical Society, and in 2013 the Wilks memorial medal from the American Statistical Society. His research interests include bioinformatics, directional statistics, geosciences, image analysis, multivariate analysis, shape analysis, spatial statistics, and ??spatial-temporal modelling.
Kent and Mardia are also joint authors of a well-established monograph on Multivariate Analysis.
Title: Spatial Analysis (Wiley Series in Probability and Statistics)
Author: Kanti V. Mardia,Kent, John T.
ISBN: 9780471632054
Binding:
Publisher: John Wiley & Sons Inc
Publication Date: 2022-05-26
Number of Pages: 400
Weight: 0.3101 kg
