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Statistics and Data Science

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Cover of 'Statistics and Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Symbolic Formulae for Linear Mixed Models
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    Chapter 2 code::proof: Prepare for Most Weather Conditions
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    Chapter 3 Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models
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    Chapter 4 Flexible Modelling via Multivariate Skew Distributions
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    Chapter 5 Estimating Occupancy and Fitting Models with the Two-Stage Approach
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    Chapter 6 Component Elimination Strategies to Fit Mixtures of Multiple Scale Distributions
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    Chapter 7 An Introduction to Approximate Bayesian Computation
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    Chapter 8 Truth, Proof, and Reproducibility: There’s No Counter-Attack for the Codeless
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    Chapter 9 On Adaptive Gauss-Hermite Quadrature for Estimation in GLMM’s
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    Chapter 10 Deep Learning with Periodic Features and Applications in Particle Physics
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    Chapter 11 Copula Modelling of Nurses’ Agitation-Sedation Rating of ICU Patients
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    Chapter 12 Predicting the Whole Distribution with Methods for Depth Data Analysis Demonstrated on a Colorectal Cancer Treatment Study
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    Chapter 13 Resilient and Deep Network for Internet of Things (IoT) Malware Detection
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    Chapter 14 Prediction of Neurological Deterioration of Patients with Mild Traumatic Brain Injury Using Machine Learning
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    Chapter 15 Spherical Data Handling and Analysis with R package rcosmo
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    Chapter 16 On the Parameter Estimation in the Schwartz-Smith’s Two-Factor Model
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    Chapter 17 Interval Estimators for Inequality Measures Using Grouped Data
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    Chapter 18 Exact Model Averaged Tail Area Confidence Intervals
Attention for Chapter 4: Flexible Modelling via Multivariate Skew Distributions
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Chapter title
Flexible Modelling via Multivariate Skew Distributions
Chapter number 4
Book title
Statistics and Data Science
Published by
Springer, Singapore, January 2020
DOI 10.1007/978-981-15-1960-4_4
Book ISBNs
978-9-81-151959-8, 978-9-81-151960-4
Authors

Geoffrey J. McLachlan, Sharon X. Lee

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 50%
Unknown 1 50%
Readers by discipline Count As %
Mathematics 1 50%
Medicine and Dentistry 1 50%