This book provides an overview of several components of mesoscale modeling: boundary conditions, subgrid-scale parameterization, moisture processes, and radiation.
This book is intended to give atmospheric scientists a basic understanding of the physical and mathematical foundations of stochastic Lagrangian models of turbulent diffusion.
This book presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra.
This book presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra.
These proceedings comprise current statistical issues in analyzing data in particle physics, astrophysics and cosmology, as discussed at the PHYSTAT05 conference in Oxford.
Interactions between species are of fundamental importance to all living systems and the framework we have for studying these interactions is community ecology.
Interactions between species are of fundamental importance to all living systems and the framework we have for studying these interactions is community ecology.
Biomedical engineering is a rapidly growing interdisciplinary area that is providing solutions to biological and medical problems and improving the healthcare system.
Power and Sample Size in R guides the reader through power and sample size calculations for a wide variety of study outcomes and designs and illustrates their implementation in R software.
In today's global and highly competitive environment, continuous improvement in the processes and products of any field of engineering is essential for survival.
The International Bestseller by 'The Galileo of number crunchers' (Independent)Every time we choose a route to work, decide whether to go on a second date, or set aside money for a rainy day, we are making a prediction about the future.
Build real-world time series forecasting systems which scale to millions of time series by applying modern machine learning and deep learning conceptsKey FeaturesExplore industry-tested machine learning techniques used to forecast millions of time seriesGet started with the revolutionary paradigm of global forecasting modelsGet to grips with new concepts by applying them to real-world datasets of energy forecastingBook DescriptionWe live in a serendipitous era where the explosion in the quantum of data collected and a renewed interest in data-driven techniques such as machine learning (ML), has changed the landscape of analytics, and with it, time series forecasting.
Scottish Rugby 101 is a compendium of fascinating facts, quotes, stats, stories, personalities and trivia - a perfect stocking-filler for all fans of Scottish rugby.
There has been considerable attention to making the methodologies of structural equation modeling available to researchers, practitioners, and students along with commonly used software.
This book begins with an introduction of pragmatic cluster randomized trials (PCTs) and reviews various pragmatic issues that need to be addressed by statisticians at the design stage.
Measuring the abundance of individuals and the diversity of species are core components of most ecological research projects and conservation monitoring.
Measuring the abundance of individuals and the diversity of species are core components of most ecological research projects and conservation monitoring.
