Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications: Selected Contributions from SimStat 2019 and Invited Pa

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ISBN 10: 3031400542 / ISBN 13: 9783031400544

Edité par Springer, 2023

2023. Hardcover. . . . . . N° de réf. du vendeur V9783031400544

Synopsis :

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.

À propos de l?auteur: 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.

Détails bibliographiques

Titre : Statistical Modeling and Simulation for ...
Éditeur : Springer
Date d'édition : 2023
Reliure : Couverture rigide
Etat : New