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|a Stochastic Models, Statistics and Their Applications
|h [electronic resource] :
|b Wrocław, Poland, February 2015 /
|c edited by Ansgar Steland, Ewaryst Rafajłowicz, Krzysztof Szajowski.
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|a 1st ed. 2015.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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|a XX, 492 p. 65 illus., 37 illus. in color.
|b online resource.
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|a Springer Proceedings in Mathematics & Statistics,
|x 2194-1017 ;
|v 122
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|a Preliminary: Part I: Stochastic Models -- Part II: Statistics -- Part III: Applications.
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|a This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design, and stochastic models in engineering. Stochastic models and related statistical procedures play an important part in furthering our understanding of the challenging problems currently arising in areas of application such as the natural sciences, information technology, engineering, image analysis, genetics, energy and finance, to name but a few. This collection arises from the 12th Workshop on Stochastic Models, Statistics and Their Applications, Wroclaw, Poland.
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|a Statistics .
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|a Probabilities.
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|a Computer science-Mathematics.
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|a Mathematical statistics.
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|a Biometry.
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|a Statistical Theory and Methods.
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|a Probability Theory.
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|a Probability and Statistics in Computer Science.
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|a Biostatistics.
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|a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
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|a Steland, Ansgar.
|e editor.
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|a Rafajłowicz, Ewaryst.
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|a Szajowski, Krzysztof.
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319138824
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|i Printed edition:
|z 9783319138800
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|i Printed edition:
|z 9783319366180
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