7 APPLIED PRO BABILITY & STAT ISTICS Statistics for Spatio-Temporal Data Noel Cress ie, Christopher K. Wikle Statistics for Spatio-Temporal Data presents a systematic approach to key quantitative techniques that incorporates the latest advances in statistical computing as well as hierarchical, particularly Bayesian, statistical modeling, with an emphasis on dynamical spatio-temporal models. Wiley Series in Probability and Statistics Statistics for SPATIO-TEMPORAL DATA Noel Cressie • Christopher K. Wikle Hardcover 624 pages 2011 ISBN 978-0-471-69274-4 USD $89.95 / CAD $98.95 / £56.95 / €73.90 Statistical Distributions Fourth Edition Catherine Forbes, Merran Evans, Nicholas Hastings , Brian Peacock Fully updated to reflect the latest developments on the topic, this book continues to serve as an authoritative guide to the application of statistical methods to research across various disciplines. The book provides a concise presentation of popular statistical distributions, Statistical Distributions Catherine Forbes, Merran Evans, Nicholas Hastings, and Brian Peacock along with their application in data modeling and analysis. Paperback 230 pages 2011 ISBN 978-0-470-39063-4 USD $77.00 / CAD $85.00 / £47.95 / €61.90 Geostatistics Modeling Spatial Uncertainty Second Edition Jean-Paul Chilès, Pierre Delfiner “. . . a readable, comprehensive volume that . . . belongs on the desk, close at hand, of any serious researcher or practitioner.”— Mathematical Geosciences WILEY SERIES IN PROBABILITY AND STATISTICS Geostatistics Modeling Spatial Uncertainty Second Edition Jean-Paul Chilès Pierre Delfiner Hardcover 734 pages 2012 ISBN 978-0-470-18315-1 USD $135.00 / CAD $149.00 / £83.50 / €109.00 A comprehensive treatment of statistical applications for solving real-world environmental problems Applied Survival Analysis Regression Modeling of Time-to-Event Data Second Edition David W. Hosmer, Stanley Lemeshow, Susanne May Applied Survival Analysis provides a comprehensive, self-contained introduction to regression modeling used in the analysis of time-toevent data in epidemiological, biostatistical, and other health-related research. Hardcover 416 pages 2008 ISBN 978-0-471-75499-2 USD $140.00 / CAD $131.99 / £86.95 / €112.00 Join the Discussion at Wiley Statistics and Mathematics FOURTH EDITION Probability With Applications and R Robert P. Dobrow Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability. With real-life examples and thoughtful exercises from fields as diverse as biology, computer science, cryptology, ecology, public health, and sports, the book is accessible for a variety of readers. The book’s emphasis on simulation through the use of the popular R software language clarifies and illustrates key computational and theoretical results. Hardcover 520 pages 2014 ISBN 978-1-118-24125-7 USD $135.00 / CAD $149.00 / £90.50 / €119.00 Measure, Probability, and Mathematical Finance A Problem-Oriented Approach Guojun Gan, Chaoqun Ma, Hong Xie Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach features an introduction to the mathematical theory underlying the financial models that were developed and employed on Wall Measure, Probability, and Mathematical Finance A Problem-Oriented Approach Guojun Gan Chaoqun Ma Hong Xie Street. This book aids in the understanding of how financial markets work, both in a theoretical and practical sense, by encouraging a problem-solving approach when applying mathematical analysis in real-life situations. Includes problems as well as detailed solutions to help readers learn the concepts and results quickly and promotes active learning by encouraging readers to write out solutions after considering the presented concepts, facts, and problems. Hardcover 768 pages 2014 ISBN 978-1-118-83196-0 USD $135.00 / CAD $149.00 / £90.50 / €119.00 Statistics for Earth and Environmental Scientists John Schuenemeyer, Larry Drew The authors present several different statistical approaches to the environmental sciences, including Bayesian and nonparametric methodologies. The book begins with an introduction to types of data, evaluation of data, modeling and estimation, random variation, and sampling—all of which are explored through case studies that use real data from earth science applications. Subsequent statistics for Earth and Environmental Scientists chapters focus on principles of modeling and the key methods and techniques for analyzing scientific data. Hardcover 420 pages 2011 ISBN 978-0-470-58469-9 USD $125.00 / CAD $138.00 / £77.50 / €99.90 A host of complex problems face today’s earth science community, such as evaluating the supply of remaining non-renewable energy resources, assessing the impact of people on the environment, understanding climate change, and managing the use of water. Proper collection and analysis of data using statistical techniques contributes significantly toward the solution of these problems. Statistics for Earth and Environmental Scientists presents important statistical concepts through data analytic tools and shows readers how to apply them to real-world problems. The authors present several different statistical approaches to the environmental sciences, including Bayesian and nonparametric methodologies. The book begins with an introduction to types of data, evaluation of data, modeling and estimation, random variation, and sampling—all of which are explored through case studies that use real data from earth science applications. Subsequent chapters focus on principles of modeling and the key methods and techniques for analyzing scientific data, including: • Interval estimation and • Methods for analyzing hypothesis testing of means time series data • Spatial statistics • Multivariate analysis • Discrete distributions • Experimental design Most statistical models are introduced by concept and application, given as equations, and then accompanied by heuristic justification rather than a formal proof. Data analysis, model building, and statistical inference are stressed throughout, and readers are encouraged to collect their own data to incorporate into the exercises at the end of each chapter. Most data sets, graphs, and analyses are computed using R, but can be worked with using any statistical computing software. A related website features additional data sets, answers to selected exercises, and R code for the book’s examples. Statistics for Earth and Environmental Scientists is an excellent book for courses on quantitative methods in geology, geography, natural resources, and environmental sciences at the upperundergraduate and graduate levels. It is also a valuable reference for earth scientists, geologists, hydrologists, and environmental statisticians who collect and analyze data in their everyday work. JOHN H. SCHUENEMEYER, PHD, is President of Southwest Statistical Consulting, LLC and Professor Emeritus of Statistics, Geography, and Geology at the University of Delaware. A Fellow of the American Statistical Association, Dr. Schuenemeyer has more than thirty years of academic and consulting experience and was the recipient of the 2004 John Cedric Griffiths Teaching Award, awarded by the International Association for Mathematical Geosciences. LAWRENCE J. DREW, PHD, is Research Scientist at the U.S. Geological Survey. Dr. Drew has published more than 200 scientific papers on the role of quantitative methods in petroleum and mineral resource assessment, and he is currently is working on an analysis of environmental data. Dr. Drew is the winner of the 2005 Krumbein Medal, awarded by the International Association for Mathematical Geosciences. Schuenemeyer Drew Statistics for Earth and Environmental Scientists John H. Schuenemeyer Lawrence J. Drew new new award winner wiley.com/go/mathematics
Mathematics & Statistics
To see the actual publication please follow the link above