Applications in statistical computing : from music data analysis to industrial quality improvement /: from music data analysis to industrial quality improvement. (2019)

• Record Type: Book
• Further Information: Note: Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi, editors.
• Editors: Bauer, Nadja; Ickstadt, Katja; Lübke, Karsten; Szepannek, Gero; Trautmann, Heike; Vichi, Maurizio, 1959-
• Contents: Intro; Preface; Contents; Methodological Developments in Data Science; 1 Aviation Data Analysis by Linear Programming in Airline Network Revenue Management; 1.1 Motivation; 1.2 Notation and Model Description; 1.2.1 Notation; 1.2.2 Model Formulation and Selected Features; 1.3 Example; 1.3.1 Data Setting; 1.3.2 Results; 1.4 Conclusion; References; 2 Bayesian Reduced Rank Regression for Classification; 2.1 Introduction; 2.2 Fisher's Iris Data; 2.3 Linear Discriminant Analysis; 2.4 Reduced Rank Regression Linked to LDA; 2.5 Bayesian LDA; 2.6 Discussion; References 3 Modelling and Classification of GC/IMS Breath Gas Measurements for Lozenges of Different Flavours3.1 Introduction; 3.2 Materials and Methods; 3.2.1 GC/IMS Technology; 3.2.2 Data Acquisition and Resulting Data Sets; 3.2.3 Statistical Methods; 3.3 Modelling and Classification of GC/IMS Measurements; 3.3.1 Modelling the Intensities of Each Spectrum; 3.3.2 Inferring Peak Locations and Intensities from All Data Sets; 3.3.3 Classifying GC/IMS Data Sets; 3.4 Summary and Discussion; References; 4 The Cosine Depth Distribution Classifier for Directional Data; 4.1 Introduction 4.2 Depth-Based Classifiers4.2.1 The Max Depth Classifier; 4.2.2 The DD Classifier; 4.2.3 The Depth Distribution Classifier; 4.3 The Cosine Depth Distribution Classifier; 4.4 Simulation Study; 4.4.1 Study Design; 4.4.2 Results; 4.5 Final Remarks; References; 5 A Nonconformity Ratio Based Desirability Function for Capability Assessment; 5.1 Introduction; 5.2 A Nonconformity Ratio Based Desirability Function; 5.3 NCDU Estimator and Its Statistical Properties; 5.3.1 Properties of NCDU Estimator for the Exponential Distribution; 5.3.2 Properties of NCDU Estimator for the Lognormal Distribution 5.4 Case Study5.4.1 Process Definition; 5.4.2 Process Capability Indices Computation; 5.5 Bootstrap Confidence Interval; 5.6 The Multivariate Extension; 5.7 Conclusion; References; Computational Statistics; 6 Heteroscedastic Discriminant Analysis Using R; 6.1 Dimensionality Reduction in Classification; 6.2 Heteroscedastic Discriminant Analysis; 6.3 Model Selection; 6.4 Regularization; 6.5 Examples; 6.6 Summary; References; 7 Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco; 7.1 Introduction 7.2 Integrated ELA Features7.3 Exemplary Feature Computation; 7.4 Visualization Techniques; 7.5 Graphical User Interface; 7.6 Summary; References; Perspectives on Statistics and Data Science; 8 A Note on Artificial Intelligence and Statistics; 8.1 Introduction; 8.2 The Intelligence of Artificial Intelligence; 8.3 Data-Driven Sciences; References; 9 Statistical Computing and Data Science in Introductory Statistics; 9.1 Introduction; 9.2 R Package Mosaic; 9.3 Our Approach to Statistical Computing and Data Science in Introductory Statistics; 9.4 Preliminary Results; 9.5 Outlook; References
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2019
• Extent: 1 online resource (xi, 340 pages), illustrations (some color)
• Subjects: 519.50285; Mathematical statistics -- Data processing; Statistics -- Data processing; Electronic books; Electronic books
• Languages: English
• ISBNs: 9783030251475; 3030251470
• Related ISBNs: 9783030251468
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed October 16, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.