Applied Reliability Engineering and Risk Analysis - Probabilistic Models and Statistical Inference, Frenkel

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 69870.00 T
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Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Автор: Serkan Eryilmaz
Название: Discrete Stochastic Models and Applications for Reliability Engineering and Statistical Quality Control
ISBN: 0367749831 ISBN-13(EAN): 9780367749835
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Описание: This book provides real-life examples and illustrations of models in reliability engineering and statistical quality control and establishes a connection between the theoretical framework and their engineering applications.

Автор: Fay, Michael P. Brittain, Erica H.
Название: Statistical hypothesis testing in context
ISBN: 1108423566 ISBN-13(EAN): 9781108423564
Издательство: Cambridge Academ
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Цена: 52790.00 T
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Описание: With over 60 years of applied experience, Fay and Brittain present hypothesis testing and compatible confidence intervals, emphasize strategies to address the reproducibility crisis, and provide methods for proper causal interpretation in scientific research. The book presents a full scope of tools and advice on their appropriate use in practice.

Автор: Schweder
Название: Confidence, Likelihood, Probability
ISBN: 0521861608 ISBN-13(EAN): 9780521861601
Издательство: Cambridge Academ
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Цена: 83430.00 T
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Описание: This is the first book to develop a methodology of confidence distributions, with a lively mix of theory, illustrations, applications and exercises.

Автор: Ghosal, Subhashis.
Название: Fundamentals of Nonparametric Bayesian Inference
ISBN: 0521878268 ISBN-13(EAN): 9780521878265
Издательство: Cambridge Academ
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Цена: 86590.00 T
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Описание: Written by top researchers, this self-contained text is the authoritative account of Bayesian nonparametrics, a nearly universal framework for inference in statistics and machine learning, with practical use in all areas of science, including economics and biostatistics. Appendices with prerequisites and numerous exercises support its use for graduate courses.

Автор: Young, G. A. (imperial College Of Science, Technology And Medicine, London) Smith, R. L. (university Of North Carolina, Chapel Hill)
Название: Essentials of statistical inference
ISBN: 0521548667 ISBN-13(EAN): 9780521548663
Издательство: Cambridge Academ
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Цена: 34840.00 T
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Автор: Bagdonavicius, Vilijandas
Название: Accelerated Life Models
ISBN: 1584881860 ISBN-13(EAN): 9781584881865
Издательство: Taylor&Francis
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Цена: 183750.00 T
Наличие на складе: Нет в наличии.

Автор: Chang
Название: Quantum Stochastics
ISBN: 110706919X ISBN-13(EAN): 9781107069190
Издательство: Cambridge Academ
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Цена: 61240.00 T
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Описание: This book provides a systematic, self-contained treatment of the theory of quantum probability and quantum Markov processes for graduate students and researchers. Building a framework that parallels the development of classical probability, it aims to help readers up the steep learning curve of the quantum theory.

Автор: Clarke, Bertrand S. (university Of Nebraska, Lincoln) Clarke, Jennifer L. (university Of Nebraska, Lincoln)
Название: Predictive statistics
ISBN: 1107028280 ISBN-13(EAN): 9781107028289
Издательство: Cambridge Academ
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Цена: 83430.00 T
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Описание: Aimed at statisticians and machine learners, this retooling of statistical theory asserts that high-quality prediction should be the guiding principle of modeling and learning from data, then shows how. The fully predictive approach to statistical problems outlined embraces traditional subfields and `black box` settings, with computed examples.

Автор: Donald B. Percival, Andrew T. Walden
Название: Spectral Analysis for Univariate Time Series
ISBN: 1107028140 ISBN-13(EAN): 9781107028142
Издательство: Cambridge Academ
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Цена: 97150.00 T
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Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.

Автор: Bagdonavicius, Vilijandas , Nikulin, Mikhail
Название: Accelerated Life Models
ISBN: 0367396637 ISBN-13(EAN): 9780367396633
Издательство: Taylor&Francis
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Цена: 65320.00 T
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Описание:

The authors of this monograph have developed a large and important class of survival analysis models that generalize most of the existing models. In a unified, systematic presentation, this monograph fully details those models and explores areas of accelerated life testing usually only touched upon in the literature.

Accelerated Life Models: Modeling and Statistical Analysis presents models, methods of data collection, and statistical analysis for failure-time regression data in accelerated life testing and for degradation data with explanatory variables. In addition to the classical results, the authors devote considerable attention to models with time-varying explanatory variables and to methods of semiparametric estimation. They also examine the simultaneous analysis of degradation and failure-time data when the intensities of failure in different modes depend on the level of degradation and the values of explanatory variables.

The authors avoid technical details by explaining the ideas and referring to resources where thorough analysis can be found. Whether used for teaching, research or general reference, Accelerated Life Models: Modeling and Statistical Analysis provides new and known models and modern methods of accelerated life data analysis.

Автор: Nikolaos Limnios; Dumitru Cezar Ionescu
Название: Statistical and Probabilistic Models in Reliability
ISBN: 1461272807 ISBN-13(EAN): 9781461272809
Издательство: Springer
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Цена: 186330.00 T
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Описание: This volume consists of twenty-four papers selected by the editors from the sixty-one papers presented at the 1st International Conference on Mathemati cal Methods in Reliability held at the Politehnica University of Bucharest from 16 to 19 September 1997.