Advanced Statistical Methods in Data Science

This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Chen, Ding-Geng (Editor ), Chen, Jiahua (Editor ), Lu, Xuewen (Editor ), Yi, Grace Y. (Editor ), Yu, Hao (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:ICSA Book Series in Statistics,
Temas:
Statistics .
Quantitative research.
Statistical Theory and Methods.
Data Analysis and Big Data.
Statistics in Business, Management, Economics, Finance, Insurance.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Part I: Data Analysis Based on Latent or Dependent Variable Models
  • Chapter 1: A New Method for Robust Mixture Regression and Outlier Detection
  • Chapter 2: The Mixture Gatekeeping Procedure Based on Weighted Multiple Testing Correction for Correlated Tests
  • Chapter 3: Regularization in Regime-switching Gaussian Autoregressive Models
  • Chapter 4: Modeling Zero Inflation and Over-dispersion in the Length of Hospital Stay for Patients with Ischaemic Heart Disease
  • Chapter 5: Robust Optimal Interval Design for High-Dimensional Dose Finding in Multi-Agent Combination Trials
  • Part II: Life Time Data Analysis
  • Chapter 6: Group Selection in Semi-parametric Accelerated Failure Time Model
  • Chapter 7: A Proportional Odds Model for Regression Analysis of Case I Interval-Censored Data
  • Chapter 8: Empirical Likelihood Inference under Density Ratio Models Based on Type I Censored Samples: Hypothesis Testing and Quantile Estimation
  • Chapter 9: Recent Development in the Joint Modeling of Longitudinal Quality of Life Measurements and Survival Data from Cancer Clinical Trials
  • Part III: Applied Data Analysis
  • Chapter 10: Confidence Weighting Procedures for Multiple Choice Tests
  • Chapter 11: Improving the Robustness of Parametric Imputation
  • Chapter 12: Maximum Smoothed Likelihood Estimation of the Centre of a Symmetric Distribution
  • Chapter 13: Dividend Pay-out Problems with the Logarithmic Utility
  • Chapter 14: Modeling the Common Risk among Equities: A Multivariate Time Series Model with an Additive GARCH Structure.

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