Hua Yun Chen
Semiparametric Odds Ratio Model and Its Applications
Semiparametric Odds Ratio Model and Its Applications
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Excellent- More about Semiparametric Odds Ratio Model and Its Applications
The book introduces flexible statistical models and discusses their applications in various statistical problems, with real data examples and estimation and inference tools.
Format: Hardback
Length: 294 pages
Publication date: 20 December 2021
Publisher: Taylor & Francis Ltd
This course introduces flexible statistical models that have yet to be systematically introduced in course materials. It discusses applications of the proposed modelling framework in several important statistical problems, ranging from biased sampling designs and missing data, graphical models, survival analysis, Gibbs sampler, and model compatibility, and density estimations.
Includes real data examples to demonstrate the use of the proposed models, and estimation and inference tools. The course is designed for graduate students in statistics and data science, and it assumes a basic knowledge of probability theory and statistical inference.
Overall, this course provides a comprehensive introduction to flexible statistical modelling, with a focus on practical applications and real-world data analysis.
Weight: 730g
Dimension: 254 x 178 (mm)
ISBN-13: 9781138485327
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