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Statistical Modelling in Biostatistics and Bioinformatics

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Cover of 'Statistical Modelling in Biostatistics and Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Multivariate Interval-Censored Survival Data: Parametric, Semi-parametric and Non-parametric Models
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    Chapter 3 Multivariate Survival Models Based on the GTDL
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    Chapter 4 Frailty Models with Structural Dispersion
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    Chapter 5 Random Effects Ordinal Time Models for Grouped Toxicological Data from a Biological Control Assay
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    Chapter 6 Modelling Seasonality and Structural Breaks: Visitors to NZ and 9/11
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    Chapter 7 Forecasting the Risk of Insolvency Among Customers of an Automotive Financial Service
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    Chapter 8 On Joint Modelling of Constrained Mean and Covariance Structures in Longitudinal Data
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    Chapter 9 Hierarchical Generalized Nonlinear Models
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    Chapter 10 Comparing Robust Regression Estimators to Detect Data Clusters: A Case Study
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    Chapter 11 Finite Mixture Model Clustering of SNP Data
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    Chapter 12 Discrepancy and Choice of Reference Subclass in Categorical Regression Models
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    Chapter 13 Statistical Methods for Detecting Selective Sweeps
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    Chapter 14 A Mixture Model and Bootstrap Analysis to Assess Reproductive Allocation in Plants
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    Chapter 15 On Model Selection Algorithms in Multi-dimensional Contingency Tables
Attention for Chapter 6: Modelling Seasonality and Structural Breaks: Visitors to NZ and 9/11
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Chapter title
Modelling Seasonality and Structural Breaks: Visitors to NZ and 9/11
Chapter number 6
Book title
Statistical Modelling in Biostatistics and Bioinformatics
Published by
Springer, Cham, January 2014
DOI 10.1007/978-3-319-04579-5_6
Book ISBNs
978-3-31-904578-8, 978-3-31-904579-5
Authors

John Haywood, John Randal

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