Fuzzy Statistics, James J. Buckley

Автор: Imbens
Название: Causal Inference for Statistics, Social, and Biomedical Sciences
ISBN: 0521885884 ISBN-13(EAN): 9780521885881
Издательство: Cambridge Academ
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Цена: 54910.00 T
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Описание: This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.

Автор: Mehmet Mehmetoglu and Tor Georg Jakobsen
Название: Applied Statistics Using Stata
ISBN: 1473913233 ISBN-13(EAN): 9781473913233
Издательство: Sage Publications
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Цена: 39060.00 T
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Описание: Clear, intuitive and written with the social science student in mind, this book represents the ideal combination of statistical theory and practice. It focuses on questions that can be answered using statistics and addresses common themes and problems in a straightforward, easy-to-follow manner. The book carefully combines the conceptual aspects of statistics with detailed technical advice providing both the ‘why’ of statistics and the ‘how’. Built upon a variety of engaging examples from across the social sciences it provides a rich collection of statistical methods and models. Students are encouraged to see the impact of theory whilst simultaneously learning how to manipulate software to meet their needs. The book also provides: Original case studies and data sets Practical guidance on how to run and test models in Stata Downloadable Stata programmes created to work alongside chapters A wide range of detailed applications using Stata Step-by-step notes on writing the relevant code. This excellent text will give anyone doing statistical research in the social sciences the theoretical, technical and applied knowledge needed to succeed.

Автор: Andrew Gelman
Название: TEACHING STATISTICS 2E C
ISBN: 0198785690 ISBN-13(EAN): 9780198785699
Издательство: Oxford Academ
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Цена: 86590.00 T
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Описание: To help overcome the challenges of teaching statistics across various diciplines, Gelman and Nolan have put together this fascinating and thought-provoking book based on years of teaching experience.

Автор: J. Philip Miller
Название: Essential Statistical Methods for Medical Statistics,
ISBN: 0444537376 ISBN-13(EAN): 9780444537379
Издательство: Elsevier Science
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Цена: 56940.00 T
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Описание: Addresses statistical challenges in epidemiological, biomedical, and pharmaceutical research. This book presents methods for assessing Biomarkers, analysis of competing risks. It offers clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs.

Автор: Lunn, David,
Название: The BUGS Book
ISBN: 1584888490 ISBN-13(EAN): 9781584888499
Издательство: Taylor&Francis
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Цена: 46950.00 T
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Описание: Bayesian methods have become the widely used statistical methods for data analysis and modeling. The BUGS software has become the popular software for Bayesian analysis worldwide. This title provides a practical introduction to this program and its use. It covers the functionalities of BUGS, including prediction, missing data, and model criticism.

Автор: B?hlmann
Название: Statistics for High Dimensional Data
ISBN: 3642201911 ISBN-13(EAN): 9783642201912
Издательство: Springer
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Цена: 111790.00 T
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Описание: This valuable compendium of statistical methods features a unique combination of methodology, theory, algorithms and applications. It covers recently developed approaches to handling large and complex data sets, including the Lasso and boosting methods.

Автор: Richard A. Johnson, Gouri K. Bhattacharyya
Название: Statistics: Principles and Methods, 7th Edition
ISBN: 0470904119 ISBN-13(EAN): 9780470904114
Издательство: Wiley
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Цена: 235790.00 T
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Описание: Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods.

Автор: Hung T. Nguyen; Berlin Wu
Название: Fundamentals of Statistics with Fuzzy Data
ISBN: 364206857X ISBN-13(EAN): 9783642068577
Издательство: Springer
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Цена: 139750.00 T
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Автор: Hung T. Nguyen; Vladik Kreinovich; Berlin Wu; Gang
Название: Computing Statistics under Interval and Fuzzy Uncertainty
ISBN: 3642445705 ISBN-13(EAN): 9783642445705
Издательство: Springer
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Цена: 156720.00 T
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Описание: if the measured value is 1.0, and inaccuracy is bounded by 0.1, then the actual (unknown) value of the quantity can be anywhere between 1.0 - 0.1 = 0.9 and 1.0 + 0.1 = 1.1.

Автор: Bilal M. Ayyub; Madan M. Gupta
Название: Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach
ISBN: 0792380304 ISBN-13(EAN): 9780792380306
Издательство: Springer
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Цена: 269260.00 T
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Описание: This text examines the use of analytical tools developed for studying uncertainty analysis in engineering, control systems, and the sciences. It is the work of 38 contributors who have each written chapters on developed analytical methods and have applied them to uncertainty phenomena.

Автор: James J. Buckley
Название: Fuzzy Probability and Statistics
ISBN: 364206809X ISBN-13(EAN): 9783642068096
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book combines material from our previous books FP (Fuzzy Probabilities: New Approach and Applications,Physica-Verlag, 2003) and FS (Fuzzy Statistics, Springer, 2004), plus has about one third new results.

Автор: Bilal M. Ayyub; Madan M. Gupta
Название: Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach
ISBN: 1461375002 ISBN-13(EAN): 9781461375005
Издательство: Springer
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Цена: 186330.00 T
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Описание: The problem of modeling uncertainty adequately has become more important the more complex systems have become, the faster the scientific and engineering world develops, and the more important, but also more difficult, forecasting of future states of systems have become.