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B01=Arne Bathke
B01=Jürgen Pilz
B01=Viatcheslav B. Melas
Category1=Non-Fiction
Category=PBT
Category=UFM
Category=UYQM
COP=Switzerland
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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications: Selected Contributions from SimStat 2019 and Invited Papers

★★★★★
★★★★★

English

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications. The refereed contributions originate from the 10th International Workshop on Simulation and Statistics, SimStat 2019, which was held in Salzburg, Austria, September 26, 2019, and were either presented at the conference or developed afterwards, relating closely to the topics of the workshop. The book is intended for statisticians and Ph.D. students who seek current developments and applications in the field. See more
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Age Group_Uncategorizedautomatic-updateB01=Arne BathkeB01=Jürgen PilzB01=Viatcheslav B. MelasCategory1=Non-FictionCategory=PBTCategory=UFMCategory=UYQMCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Activesoftlaunch

Will deliver when available. Publication date 10 Nov 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 20 Oct 2024
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031400575

About

Jürgen Pilz is Professor Emeritus at the Department of Statistics at the Alpen-Adria University Klagenfurt in Austria. His research areas include Bayesian statistics spatial statistics environmental and industrial statistics statistical quality control and design of experiments.Viatcheslav B. Melas is a Professor at the Department of Stochastic Simulation at the St. Petersburg State University Russia. His research areas include experimental design stochastic simulation and regression analysis with a focus on functional approaches to optimal experimental design.Arne Bathke is Full Professor of Statistics at the Paris Lodron University Salzburg Austria. His main research interests are related to nonparametric and multivariate statistics applied in different fields from social sciences to biomedicine and engineering.

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