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This open access book provides an introduction to uncertainty quanti?cation in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and...
Editeur :
Springer
Parution :
2021-12-09
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INTRODUCTION TO PROBABILITY Discover practical models and real-world applications of multivariate models useful in engineering, business, and related disciplines In Introduction to Probability: Multivariate Models and Applications, a team of distinguished researchers...
Editeur :
Wiley
Parution :
2021-11-24
Collection :
Wiley Series in Probability and Statistics
PDF, ePub
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Geostatistical Functional Data Analysis Explore the intersection between geostatistics and functional data analysis with this insightful new referenceGeostatistical Functional Data Analysis presents a unified approach to modelling functional data when spatial and...
Editeur :
Wiley
Parution :
2021-11-16
Collection :
Wiley Series in Probability and Statistics
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This volume contains papers which were presented at the XV Latin American Congress of Probability and Mathematical Statistics (CLAPEM) in December 2019 in Mérida-Yucatán, México. They represent well the wide set of topics on probability and statistics that was covered...
Editeur :
Birkhäuser
Parution :
2021-11-14
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This book presents a general method for deriving higher-order statistics of multivariate distributions with simple algorithms that allow for actual calculations. Multivariate nonlinear statistical models require the study of higher-order moments and cumulants. The...
Editeur :
Springer
Parution :
2021-10-26
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This book provides tools and algorithms for solving a wide class of optimization tasks by learning from their repetitions. A unified framework is provided for learning algorithms that are based on the stochastic gradient (a golden standard in learning), including random...
Editeur :
Springer
Parution :
2021-10-25
Collection :
Studies in Systems, Decision and Control
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Learn how to make informed decisions through statistical reasoning! Using a qualitative approach to introduce statistical reasoning, The Numerate Leader: How to Pull Game-Changing Insights from Statistical Data is a cutting-edge book that helps the reader extract...
Editeur :
Wiley
Parution :
2021-10-21
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This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from...
Editeur :
Springer
Parution :
2021-10-20
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Continue your statistics journey with this all-encompassing reference Completed Statistics through standard deviations, confidence intervals, and hypothesis testing? Then you’re ready for the next step: Statistics II. And there’s no better way to tackle this...
Editeur :
For Dummies
Parution :
2021-10-12
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This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments. R code is available as online supplementary material for most included examples, so that readers can better...
Editeur :
Springer
Parution :
2021-10-04
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This book includes a novel motif discovery for time series, KITE (ill-Known motIf discovery in Time sEries data), to identify ill-known motifs transformed by affine mappings such as translation, uniform scaling, reflection, stretch, and squeeze mappings. Additionally,...
Editeur :
Springer Vieweg
Parution :
2021-10-01
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This book presents the latest findings on statistical inference in multivariate, multilinear and mixed linear models, providing a holistic presentation of the subject. It contains pioneering and carefully selected review contributions by experts in the field and guides...
Editeur :
Springer
Parution :
2021-10-01
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DATA SCIENCE IN THEORY AND PRACTICE EXPLORE THE FOUNDATIONS OFDATA SCIENCE WITH THIS INSIGHTFUL NEW RESOURCE Data Science in Theory and Practice delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in...
Editeur :
Wiley
Parution :
2021-09-30
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The stability analysis of stochastic models for telecommunication systems is an intensively studied topic.The analysis is, as a rule, a difficult problem requiring a refined mathematical technique, especially when one endeavors beyond the framework of Markovian...
Editeur :
Springer
Parution :
2021-09-20
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Use this hands-on guide book to learn and explore cognitive APIs developed by Microsoft and provided with the Azure platform. This book gets you started working with Azure Cognitive Services. You will not only become familiar with Cognitive Services APIs for...
Editeur :
Apress
Parution :
2021-09-18
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This book provides a unified exposition of some fundamental theoretical problems in high-dimensional statistics. It specifically considers the canonical problems of detection and support estimation for sparse signals observed with noise. Novel phase-transition...
Editeur :
Springer
Parution :
2021-09-07
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Discover data analytics methodologies for the diagnosis and prognosis of industrial systems under a unified random effects model In Industrial Data Analytics for Diagnosis and Prognosis - A Random Effects Modelling Approach, distinguished engineers Shiyu Zhou and Yong...
Editeur :
Wiley
Parution :
2021-08-31
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This book provides a comprehensive and concrete illustration of time series analysis focusing on the state-space model, which has recently attracted increasing attention in a broad range of fields. The major feature of the book lies in its consistent Bayesian treatment...
Editeur :
Springer
Parution :
2021-08-30
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This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data. A major objective of this book is to present to...
Editeur :
Springer
Parution :
2021-08-14
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In diesem Buch wird Grundlegendes der Stochastik wie Kolmogoroffsche Axiome, Erwartungswerte, bedingte Wahrscheinlichkeiten, stochastische Unabhängigkeit, Satz von Bayes oder Satz von der totalen Wahrscheinlichkeit nicht mit „Zufall“ und „Wahrscheinlichkeit“, sondern...
Editeur :
Springer Spektrum
Parution :
2021-08-12
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