Advanced statistical methods in data science. (2016)

• Record Type: Book
• Further Information: Note: Ding-Geng (Din) Chen, Jiahua Chen, Xuewen Lu, Grace Y. Yi, Hao Yu, editors.
• Editors: Chen, Ding-Geng; Chen, Jiahua; Lu, Xuewen; Yi, Grace; Yu, Hao
• Other Names: International Chinese Statistical Association., Canada Chapter., Symposium, (2nd) 2015 (Calgary, Alta.)
• Contents: 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.
• Publisher Details: Singapore : Springer
• Publication Date: 2016
• Extent: 1 online resource
• Subjects: 519.5; Statistics; Mathematical statistics -- Congresses; Mathematical statistics; Big data; MATHEMATICS -- Applied; MATHEMATICS -- Probability & Statistics -- General; Mathematical statistics; Business & Economics -- Industries -- Computer Industry; Business & Economics -- Statistics; Business mathematics & systems; Probability & statistics; Statistics; Statistical Theory and Methods; Big Data/Analytics; Statistics for Business/Economics/Mathematical Finance/Insurance; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9789811025945; 9811025940; 9811025932; 9789811025938
• Related ISBNs: 9789811025938
• Notes: Note: Includes bibliographical references at the end of each chapters and index.; Note: Online resource; title from PDF title page (Library Ideas, viewed Jan. 4, 2017).
• 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.