Statistics Statistics Handbook of Design and Analysis of Experiments Angela Dean, Ohio State University, USA, Max Morris, Iowa State University, USA, John Stufken, Arizona State University, USA and Derek Bingham, Simon Fraser University, Canada EBook: 978-1-4665-0434-9 ISBN: 978-1-4665-0433-2 June 2015 | 254 x 178 | 984pp | Hb | $180.00 | illus: 144 b/w, 130 tables NetBASE: BUSINESSnetBASE, STATSnetBASE, SCI-TECHnetBASE, InformationSCIENCEnetBASE, STMnetBASE Market: Statistics Click image for more information
This handbook presents a comprehensive, carefully edited collection of chapters that explore the state of the art in the theory and applications of designed experiments and their analyses. Divided into seven parts, the book covers the history and general principles, designs for linear models, fractional factorial designs, optimal designs, computer experiments, issues that span various fields, and designs for the latest applications. Balancing coverage of methodology and applications, it is accessible to graduate students and new researchers needing an overview of the area. Key Features:
Provides a complete overview of the theory and modern applications Covers key topics, such as linear models, fractional factorial designs, and optimal designs Includes contributions from leading statisticians and researchers Contributors from USA, Canada, UK, South Africa, India, Italy and Germany.
Audience: Graduate students and researchers in statistics, industrial engineering, manufacturing, pharmaceutical industry, and life sciences. Related titles: Design and Analysis of Experiments with R -- 978-1-4398-6813-3 Theory of Factorial Design: Single- and Multi-Stratum Experiments -- 978-1-4665-0557-5 Design of Experiments: An Introduction Based on Linear Models -- 978-1-58488-923-6 Analysis of Messy Data Volume 1 -- 978-1-58488-334-0
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Statistics Statistics Modeling to Inform Infectious Disease Control Niels G. Becker, Australian National University, Canberra, Australia EBook: 978-1-4987-3107-2 ISBN: 978-1-4987-3106-5 May 2015 | 235 x 156 | 208pp | Hb | $135.00 | illus: 43 b/w, 33 tables, NetBASE: STATSnetBASE, BIOSCIENCEnetBASE, SCI-TECHnetBASE, BiomedicalSCIENCEnetBASE, MEDICINEnetBASE, STMnetBASE Market: Statistics
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Statistical modeling is increasingly used to inform infectious disease control, but the complex nature of the methods can make them difficult for public health professionals to apply. This book provides an accessible and practical introduction to the modeling of infectious diseases, enabling these professionals to use the techniques for effective infectious disease management. The mathematical details are kept to a minimum, with some provided in appendices, so that the methods can be understood by applied researchers. The book includes plenty of real examples to illustrate the application of the methods along with exercises to enable use as a course text. Key Features:
Provides an accessible and practical introduction to the modeling of infectious diseases Focuses on practical application, keeping the mathematical details restricted to appendices Contains many real examples to illustrate the methods Offers practical guidance that can be used for effective infectious disease management Includes exercises to enable use as a course text Author is well known internationally; based in Australia, originally from Scandinavia.
Audience: Graduate students and researchers from biostatistics and epidemiology and Practitioners working for government agencies. Related titles: Analysis of Infectious Disease Data -- 978-0-412-30990-8 Bayesian Disease Mapping -- 978-1-4665-0481-3 Biosurveillance -- 978-1-4398-0046-1
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Statistics Statistics Data Science in R A Case Studies Approach to Computational Reasoning and Problem Solving Deborah Nolan, University of California, Berkeley, USA and Duncan Temple Lang, University of California, Davis, USA EBook: 978-1-4822-3482-4 ISBN: 978-1-4822-3481-7 April 2015 | 254 x 178 | 539pp | Pb | $105.00 | illus: 79 b/w, NetBASE: STATSnetBASE, SCI-TECHnetBASE, COMPUTERSCIENCEnetBASE, InformationSCIENCEnetBASE, STMnetBASE Market: Statistics
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This book explains the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions. The book’s collection of projects, exercises, and sample solutions encompass practical topics pertaining to data processing and analysis. The book can be used for self-study or as supplementary reading in a statistical computing course, allowing students to gain valuable data science skills. Key Features:
Explores how computing is done for a broad range of data science problems Includes authentic real-world data analysis projects that tie concepts into a data science workflow and illustrate the everyday activities of data scientists across a spectrum of fields Shows how to read and transform raw data, manipulate and visualize the resulting data, and use statistical techniques to solve a problem or understand relationships between variables Describes the use of simulation to understand stochastic processes and model interesting situations Covers various data technologies, including databases, visualization with KML, and scraping data from Web pages with HTTP requests and text processing
Audience: Graduate students and practitioners in statistical computing and applied statistics. Related titles: R Programming for Bioinformatics -- 978-1-4200-6367-7 Data Mining with R -- 978-1-4398-1018-7
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Statistics Statistics Statistical Learning with Sparsity The Lasso and Generalizations Trevor Hastie, Stanford University, California, USA, Robert Tibshirani, Stanford University, California, and Martin Wainwright, Department of Statistics, University of California, Berkeley EBook: 978-1-4987-1217-0 ISBN: 978-1-4987-1216-3 June 2015 | 235 x 156 | 349pp | Hb | $135.00 | illus: 99 colours, 11 colour tables NetBASE: STATSnetBASE, SCI-TECHnetBASE, COMPUTERSCIENCEnetBASE, InformationSCIENCEnetBASE, STMnetBASE Market: Statistics
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Written by leading experts, this book discusses new methods for dealing with high-dimensional data. It summarizes the actively developing field of statistical learning with sparsity. Covering matrix decomposition, graphical models, compressed sensing, and more, it will be of interest to people analyzing data in many scientific disciplines. Key Features:
Gives a comprehensive view and theoretical insights on general penalization procedures Demonstrates, using real datasets, which displays to draw to reveal the information in data Describes all graphic types use in the book with lists of the analyses in which they are applied
Audience: Researchers and graduate students in many disciplines interested in statistical learning and machine learning. Related titles: R Graphics, Second Edition -- 978-1-4398-3176-2 Machine Learning -- 978-1-4200-6718-7 Machine Learning -- 978-1-4665-8328-3 Statistical Learning for High-Dimensional Data -- 978-1-4665-1084-5
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Computer Science Game AI Pro 2 Collected Wisdom of Game AI Professionals Edited by Steven Rabin, Bothell, Washington, USA EBook: 978-1-4822-5480-8 ISBN: 978-1-4822-5479-2 May 2015 | 235 x 191 | 575pp | Hb | $120.00 | illus: 177 b/w, 20 tables, NetBASE: SCI-TECHnetBASE, COMPUTER-SCIENCEnetBASE, InformationSCIENCEnetBASE, STMnetBASE Market: Computer Game Development Click image for more information 2
Game AI Pro presents cutting-edge tips, tricks, and techniques for artificial intelligence (AI) in games, drawn from developers of shipped commercial games as well as some of the best-known academics in the field. It contains knowledge, advice, hardearned wisdom, and insights gathered from across the community of developers and researchers who have devoted themselves to game AI. The book provides a toolbox of proven techniques that can be applied to many common and not-socommon situations. Key Features: 
Edited volume in popular area of gaming with well-known cadre of international contributors.
Audience: Computer Game Developers and Designers. Computer Graphics Professionals. Related titles: Unreal Game Development -- 978-1-56881-459-9 Maya Python for Games and Film -- 978-0-12-378578-7 GPU Pro 4 -- 978-1-4665-6743-6
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Physics Ultrasound Imaging and Therapy Edited by Aaron Fenster, Robarts Research Institute, London, Ontario, Canada and James C. Lacefield, The University of Western Ontario, London, Canada EBook: 978-1-4398-6629-0 ISBN: 978-1-4398-6628-3 May 2015 | 254 x 178 | 339pp | Hb | $225.00| illus: 157 b/w, 25 colours, 10 tables, NetBASE: BIOSCIENCEnetBASE, PHYSICSnetBASE, SCI-TECHnetBASE, BiomedicalSCIENCEnetBASE, MEDICINEnetBASE, STMnetBASE Market: Biomedical Imaging Click image for more information
This book discusses the use of ultrasound imaging for diagnosis with image-guided interventions and ultrasound-based therapy. It covers the background on the technology of transducers and beam formers for use in 2D, 3D and 4D ultrasound as well as developments in tissue characterization, Doppler techniques, ultrasound contrast agents, and ultrasound-guided biopsy and therapy. The first part of the book deals with transducers, beam formers, and imaging systems. The second section discusses diagnostic applications and the last part looks at the use of ultrasound in image-guided interventions. Key Features:
Provides a complete overview of the state of the art of current and developing techniques for ultrasound imaging and therapy Covers both diagnostic and therapeutic applications Discusses Doppler techniques, ultrasound contrast agents, and image-guided interventions Summarizes technology developments in 2D, 3D, and 4D ultrasound Ultrasound a hugely important modality in Europe, Asia, and Middle East
Audience: Researchers, physicians, trainees, technologists, technicians, and graduate students interested in diagnostic and therapeutic applications of ultrasound. Related titles: The Physics of Medical Imaging -- 978-0-85274-349-2 Physics for Diagnostic Radiology, Third Edition -- 978-0-7503-0591-4 Biomedical Technology and Devices Handbook -- 978-0-8493-1140-6 Biomedical Technology and Devices, Second Edition -- 978-1-4398-5959-9
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Physics Physics Curiosities, Oddities, and Novelties John Kimball EBook: 978-1-4665-7636-0 SBN: 978-1-4665-7635-3 May 2015 | 235 x 156 | 371pp | Pb | $52.00 | illus: 204 b/w, 2 tables, NetBASE: MATHnetBASE, NANOnetBASE, PHYSICSnetBASE, SCI-TECHnetBASE, STMnetBASE Text type: Professional Click image for more information
In an easily accessible style, this book presents the most interesting physics concepts that have meaning in our daily lives. Filled with intriguing and unusual examples, the book explores a historical progression, from classical physics to quantum mechanics and relativity. This book also gives insight into physics through minimal scientific jargon. For example, readers learn the physics behind dimples on golf balls, 3D movies, refrigerators, and the battery in your car. Key Features:
Provides a sensible and entertaining way to navigate through mind-boggling physics concepts Offers an escape from the tedium frequently associated with physics Avoids all but the most essential formulas Includes real examples that reveal interesting, practical, and novel aspects Uses minimal technical jargon
Related titles: The Physics Companion, 2nd Edition -- 978-1-4665-1779-0 Physics of Sailing -- 978-1-4200-7376-8 A Cultural History of Physics -- 978-1-56881-329-5 Audience: Students of all levels, from high school to graduate level. Curious lay readers who are interested in science. Endorsements: “As a teacher of physics, I like this book a lot. It lightens the subject nicely.” -- Philip B. Allen, Professor, Department of Physics and Astronomy, Stony Brook University "This book introduces important physical concepts in a casual and entertaining way... I recommend it to high school students curious about science and to anyone interested in qualitative physics." -- Oleg Lunin, University at Albany "all of the physical concepts are expressed in terms of common language.... good as a reference for students [and] as popular reading for those having curiosity about physics and mathematics...." -- Ching-Yao Fong, Distinguished Professor of Physics, University of California, Davis “…concise, clear, and insightful… a useful, interesting, and accessible resource for physics teachers and interested students of all levels.” -- David Bittel, Physics Teacher, Bristol Eastern High School
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