Semiparametric Odds Ratio Model and Its Applications
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portes grátis
Semiparametric Odds Ratio Model and Its Applications
Chen, Hua Yun
Taylor & Francis Ltd
12/2021
294
Dura
Inglês
9781138485327
15 a 20 dias
725
Descrição não disponível.
1. Odds Ratio Parameter and its Utilities. 2. Odds Ratio Functions and Their Modeling. 3. Estimation and Inference on Semiparametric Odds Ratio Model. 4. Estimation and Inference on Conditional Odds Ratio Function. 5. Application to Biased Sampling Problems. 6. Application to Missing Data Problems. 7. Application to Graphical Models. 8 Application to Survival Data. 9. Other Miscellaneous Applications
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Odds Ratio Functions;semiparametirc models;Odds Ratio Parameters;missing data;Maximum Semiparametric Likelihood Estimator;survival data;Conditional Probability Distribution;Gibbs sampler;Gaussian Network;density estimation;Conditional Densities;Node Variables;Gaussian Network Model;Common Odds Ratio;Joint Model;Conditional Models;Network Detection;Spectral Density Estimation;Joint Density;Retrospective Likelihood;Conditional Likelihood;Penalty Parameter Values;Maximum Likelihood Estimator;Density Ratio Models;Exchangeable Conditions;Prospective Likelihood;Contingency Table;Normal Linear Regression Model;Semiparametric Density;Conditional Likelihood Approach
1. Odds Ratio Parameter and its Utilities. 2. Odds Ratio Functions and Their Modeling. 3. Estimation and Inference on Semiparametric Odds Ratio Model. 4. Estimation and Inference on Conditional Odds Ratio Function. 5. Application to Biased Sampling Problems. 6. Application to Missing Data Problems. 7. Application to Graphical Models. 8 Application to Survival Data. 9. Other Miscellaneous Applications
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Odds Ratio Functions;semiparametirc models;Odds Ratio Parameters;missing data;Maximum Semiparametric Likelihood Estimator;survival data;Conditional Probability Distribution;Gibbs sampler;Gaussian Network;density estimation;Conditional Densities;Node Variables;Gaussian Network Model;Common Odds Ratio;Joint Model;Conditional Models;Network Detection;Spectral Density Estimation;Joint Density;Retrospective Likelihood;Conditional Likelihood;Penalty Parameter Values;Maximum Likelihood Estimator;Density Ratio Models;Exchangeable Conditions;Prospective Likelihood;Contingency Table;Normal Linear Regression Model;Semiparametric Density;Conditional Likelihood Approach