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Chen, Ding-Geng

Advanced Statistical Methods in Data Science

Chen, Ding-Geng - Advanced Statistical Methods in Data Science, ebook

130,70€

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ISBN: 9789811025945
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Table of contents

Part I. Data Analysis Based on Latent orDependent Variable Models

1. The Mixture Gatekeeping Procedure Based on Weighted Multiple Testing Correction for Correlated Tests
Enas Ghulam, Kesheng Wang, Changchun Xie

2. Regularization in Regime-Switching Gaussian Autoregressive Models
Abbas Khalili, Jiahua Chen, David A. Stephens

3. Modeling Zero Inflation and Overdispersion in the Length of Hospital Stay for Patients with Ischaemic Heart Disease
Cindy Xin Feng, Longhai Li

4. Robust Optimal Interval Design for High-Dimensional Dose Finding in Multi-agent Combination Trials
Ruitao Lin, Guosheng Yin

Part II. Life Time Data Analysis

5. Group Selection in Semiparametric Accelerated Failure Time Model
Longlong Huang, Karen Kopciuk, Xuewen Lu

6. A Proportional Odds Model for Regression Analysis of Case I Interval-Censored Data
Pooneh Pordeli, Xuewen Lu

7. Empirical Likelihood Inference Under Density Ratio Models Based on Type I Censored Samples: Hypothesis Testing and Quantile Estimation
Song Cai, Jiahua Chen

8. Recent Development in the Joint Modeling of Longitudinal Quality of Life Measurements and Survival Data from Cancer Clinical Trials
Hui Song, Yingwei Peng, Dongsheng Tu

Part III. Applied Data Analysis

9. Confidence Weighting Procedures for Multiple-Choice Tests
Michael Cavers, Joseph Ling

10. Improving the Robustness of Parametric Imputation
Peisong Han

11. Maximum Smoothed Likelihood Estimation of the Centre of a Symmetric Distribution
Pengfei Li, Zhaoyang Tian

12. Modelling the Common Risk Among Equities: A Multivariate Time Series Model with an Additive GARCH Structure
Jingjia Chu, Reg Kulperger, Hao Yu

Keywords: Statistics, Statistical Theory and Methods, Big Data/Analytics, Statistics for Business/Economics/Mathematical Finance/Insurance

Editor
 
 
 
 
Publisher
Springer
Publication year
2016
Language
en
Edition
1
Series
ICSA Book Series in Statistics
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9789811025945
Printed ISBN
978-981-10-2593-8

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