Massive data sets pose a great challenge to many cross-disciplinary fields, including statistics. The high dimensionality and different data types and structures have now outstripped the capabilities of traditional statistical, graphical, and data visualization tools. Extracting useful information from such large data sets calls for novel approache
In the last two decades, Bayesian Statistics has acquired immense importance and has penetrated almost every area including those where the application of statistics appeared to be a remote possibility. This volume provides both theoretical and practical insights into the subject with detailed up-to-date material on various aspects. It serves two important objectives - to offer a thorough background material for theoreticians and gives a variety of applications for applied statisticians and practitioners. Consisting of 33 chapters, it covers topics on biostatistics, econometrics, reliability, image analysis, Bayesian computation, neural networks, prior elicitation, objective Bayesian methodologies, role of randomisation in Bayesian analysis, spatial data analysis, nonparametrics and a lot more. The book will serve as an excellent reference work for updating knowledge and for developing new methodologies in a wide variety of areas. It will become an invaluable tool for statisticians and the practitioners of Bayesian paradigm.
"Pinus radiata (radiata pine) is a versatile, fast-growing, medium-density softwood, suitable for a wide range of end-uses. Its silviculture is highly developed, and is built on a rm foundation of over a century of research, observation and practice. Radiata pine is often considered a model for growers of other plantation species. This book explores current knowledge of, and experience with radiata pine forest plantation management and examines its long-term sustainability. Radiata pine management needs to integrate the biological aspects of tree-growing, with socio-economics, management objectives, practical considerations and other constraints and opportunities. Although stands of radiata pine may appear to be simple, they are actually quite complex ecosystems because they contain large, long-lived trees that change dramatically over time and interact in changing ways with the environment and with other organisms. The focus of this book is on the principles and practices of growing radiata pine sustainably. It also looks ahead to emerging challenges facing radiata pine plantation management, such as the effects of climate change, new diseases and other threats, and meeting changing product needs and societal demands."--Page 4 of cover.
Forest Growth and Yield Modeling synthesizes current scientific literature and provides insights in how models are constructed. Giving suggestions for future developments, and outlining keys for successful implementation of models the book provides a thorough and up-to-date, single source reference for students, researchers and practitioners requiring a current digest of research and methods in the field. The book describes current modelling approaches for predicting forest growth and yield and explores the components that comprise the various modelling approaches. It provides the reader with the tools for evaluating and calibrating growth and yield models and outlines the steps necessary for developing a forest growth and yield model. Single source reference providing an evaluation and synthesis of current scientific literature Detailed descriptions of example models Covers statistical techniques used in forest model construction Accessible, reader-friendly style
