Ian T. Jolliffe – författare

Forecast Verification: A Practioner's Guide in Atmospheric Science, 2nd Edition provides an indispensible guide to this area of active research by combining depth of information with a range of topics to appeal both to professional practitioners and researchers and postgraduates. The editors have succeeded in presenting chapters by a variety of the leading experts in the field while still retaining a cohesive and highly accessible style. The book balances explanations of concepts with clear and useful discussion of the main application areas. Reviews of first edition:"This book will provide a good reference, and I recommend it especially for developers and evaluators of statistical forecast systems." (Bulletin of the American Meteorological Society; April 2004)"...a good mixture of theory and practical applications...well organized and clearly written..." (Royal Statistical Society, Vol.168, No.1, January 2005)NEW to the second edition: Completely updated chapter on the Verification of Spatial Forecasts taking account of the wealth of new research in the areaNew separate chapters on Probability Forecasts and Ensemble ForecastsIncludes new chapter on Forecasts of Extreme Events and WarningsIncludes new chapter on Seasonal and Climate ForecastsIncludes new Appendix on Verification SoftwareCover image credit: The triangle of barplots shows a novel use of colour for visualizing probability forecasts of ternary categories – see Fig 6b of Jupp et al. 2011, On the visualisation, verification and recalibration of ternary probabilistic forecasts, Phil. Trans. Roy. Soc. (in press).

There is a growing interest in programming languages and systems based on nonclassical logics such as temporal logics, interval logics, modal and intuitionistic logics. In fact, a whole new programming paradigm called "intensional programming" has been created, with applications in a wide range of areas, including parallel programming, dataflow computation, temporal reasoning, scientific computation, real-time programming, temporal and multidimensional databases, spreadsheets, attribute grammars, and Internet programming. This volume presents ongoing research as well as future directions of this new and fascinating area of research.

Originally published in 1986, this book consists of 100 problems in probability and statistics, together with solutions and, most importantly, extensive notes on the solutions. The level of sophistication of the problems is similar to that encountered in many introductory courses in probability and statistics. At this level, straightforward solutions to the problems are of limited value unless they contain informed discussion of the choice of technique used, and possible alternatives. The solutions in the book are therefore elaborated with extensive notes which add value to the solutions themselves. The notes enable the reader to discover relationships between various statistical techniques, and provide the confidence needed to tackle new problems.