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

Stochastic Models, Statistics and Their Applications: Wrocław, Poland, February 2015: Springer Proceedings in Mathematics & Statistics, cartea 122

Editat de Ansgar Steland, Ewaryst Rafajłowicz, Krzysztof Szajowski
en Limba Engleză Hardback – 9 mar 2015
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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Specificații

ISBN-13: 9783319138800
ISBN-10: 3319138804
Pagini: 300
Ilustrații: XX, 492 p. 65 illus., 37 illus. in color.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.89 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Seria Springer Proceedings in Mathematics & Statistics

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Preliminary: Part I: Stochastic Models.- Part II: Statistics.- Part III: Applications.

Textul de pe ultima copertă

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.

Caracteristici

Shows recent advances in stochastic modeling, statistical inference and their applications Discusses applications in engineering, industry and natural sciences Includes supplementary material: sn.pub/extras