ENGLISH

Stochastic Models, Statistics and Their Applications: Wrocław, Poland, February 2015

By Krzysztof Szajowski (eds.) , Ansgar Steland , Ewaryst Rafajłowicz

Book information

Publisher
Springer International Publishing
Year
2015
ISBN
978-3-319-13880-0, 978-3-319-13881-7
DOI
10.1007/978-3-319-13881-7
Language
english
Format
PDF
Filesize
8 MB (8386650 bytes)
Series
Springer Proceedings in Mathematics & Statistics 122
Edition
1
Pages
490\478
Time added
2015-02-17 02:00:00
CComputer ScienceHealth Sciences; Statistics for EngineeringMedicinePhysicsStatistical Theory and Methods; Probability Theory

Description

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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