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ISBN: 110702482X 1107607590 110742416X 1139176072 Year: 2013 Publisher: Cambridge : Cambridge University Press,
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Providing the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and understanding of basic statistical analysis, concentrating on a few core ideas, such as the visual display of information, modelling using the likelihood function, and simulating random data. Key concepts are developed through a combination of graphical explanations, worked examples, example computer code and case studies using real data. Students will develop an understanding of the ideas behind statistical methods and gain experience in applying them in practice. Further resources are available at www.cambridge.org/9781107607590, including data files for the case studies so students can practise analysing data, and exercises to test students' understanding.
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ISBN: 9781118620205 9787040378177 1118620208 7040378175 Year: 2013 Publisher: Chichester Wiley
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Modern science typically involves the analysis of increasingly complex data. The extreme values that emerge in the statistical analysis of complex data are often of particular interest. This book focuses on the analytical approximations of the statistical significance of extreme values. Several relatively complex applications of the technique to problems that emerge in practical situations are presented. All the examples are difficult to analyze using classical methods, and as a result, the author presents a novel technique, designed to be more accessible to the user. Extreme value analysis is widely applied in areas such as operational research, bioinformatics, computer science, finance and many other disciplines. This book will be useful for scientists, engineers and advanced graduate students who need to develop their own statistical tools for the analysis of their data. Whilst this book may not provide the reader with the specific answer it will inspire them to rethink their problem in the context of random fields, apply the method, and produce a solution.
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Year: 2013 Publisher: Hayward, California : Institute of Mathematical Statistics,
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Morris L. ("Joe") Eaton is one of the preeminent theoretical statisticians of the past 40 years, and his work has had a substantial impact on the way many statistical issues are currently viewed.
Book
ISBN: 0470533315 9780470533314 Year: 2013 Publisher: Hoboken: Wiley,
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ISBN: 9781118329504 Year: 2013 Publisher: Hoboken, N.J. Wiley
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ISBN: 9780444538598 Year: 2013 Publisher: Amsterdam Elsevier
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ISBN: 9781466504257 Year: 2013 Publisher: Boca Raton, Fla CRC
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Digital
ISBN: 9781461438991 9781461439004 Year: 2013 Publisher: New York, N.Y. Springer
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Digital
ISBN: 9783642390401 9783642390418 Year: 2013 Publisher: Heidelberg Springer
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Digital
ISBN: 9783642343322 9783642343339 Year: 2013 Publisher: Heidelberg Springer
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