Stochastic Models, Statistics and Their Applications [electronic resource] : Wrocław, Poland, February 2015 / edited by Ansgar Steland, Ewaryst Rafajłowicz, Krzysztof Szajowski.

Contributor(s): Steland, Ansgar [editor.] | Rafajłowicz, Ewaryst [editor.] | Szajowski, Krzysztof [editor.] | SpringerLink (Online service)
Material type: TextTextSeries: Springer Proceedings in Mathematics & Statistics: 122Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XX, 492 p. 65 illus., 37 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319138817Subject(s): Statistics | Mathematical statistics | Probabilities | Statistics | Statistical Theory and Methods | Probability Theory and Stochastic Processes | Probability and Statistics in Computer Science | Statistics for Life Sciences, Medicine, Health Sciences | Statistics for Engineering, Physics, Computer Science, Chemistry and Earth SciencesAdditional physical formats: Printed edition:: No titleDDC classification: 519.5 LOC classification: QA276-280Online resources: Click here to access online
Contents:
Preliminary: Part I: Stochastic Models -- Part II: Statistics -- Part III: Applications.
In: Springer eBooksSummary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library

Electronic Book@IST

EBook Available
Total holds: 0

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

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.

There are no comments for this item.

to post a comment.

Powered by Koha