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Applications in Statistical Computing

Overview of attention for book
Cover of 'Applications in Statistical Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Aviation Data Analysis by Linear Programming in Airline Network Revenue Management
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    Chapter 2 Bayesian Reduced Rank Regression for Classification
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    Chapter 3 Modelling and Classification of GC/IMS Breath Gas Measurements for Lozenges of Different Flavours
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    Chapter 4 The Cosine Depth Distribution Classifier for Directional Data
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    Chapter 5 A Nonconformity Ratio Based Desirability Function for Capability Assessment
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    Chapter 6 Heteroscedastic Discriminant Analysis Using R
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    Chapter 7 Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco
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    Chapter 8 A Note on Artificial Intelligence and Statistics
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    Chapter 9 Statistical Computing and Data Science in Introductory Statistics
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    Chapter 10 Approaching Ethical Guidelines for Data Scientists
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    Chapter 11 Dating Lower Turning Points of Business Cycles – A Multivariate Linear Discriminant Analysis for Germany 1974 to 2009
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    Chapter 12 Partial Orderings of Default Predictions
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    Chapter 13 Improving GMM Efficiency in Dynamic Models for Panel Data with Mean Stationarity
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    Chapter 14 Economically Designed Bayesian np Control Charts Using Dual Sample Sizes for Long-Run Processes
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    Chapter 15 Statistical Analysis of the Lifetime of Diamond-Impregnated Tools for Core Drilling of Concrete
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    Chapter 16 Detection of Anomalous Sequences in Crack Data of a Bridge Monitoring
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    Chapter 17 Optimal Semi-Split-Plot Designs with R
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    Chapter 18 Continuous Process Monitoring Through Ensemble-Based Anomaly Detection
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    Chapter 19 Evaluation of Audio Feature Groups for the Prediction of Arousal and Valence in Music
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    Chapter 20 The Psychological Foundations of Classification
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Title
Applications in Statistical Computing
Published by
Springer International Publishing, October 2019
DOI 10.1007/978-3-030-25147-5
ISBNs
978-3-03-025146-8, 978-3-03-025147-5
Editors

Bauer, Nadja, Ickstadt, Katja, Lübke, Karsten, Szepannek, Gero, Trautmann, Heike, Vichi, Maurizio

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 40%
Professor 1 20%
Professor > Associate Professor 1 20%
Student > Bachelor 1 20%
Readers by discipline Count As %
Unspecified 2 40%
Computer Science 1 20%
Agricultural and Biological Sciences 1 20%
Engineering 1 20%

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