Empirical Likelihood Methods in Biomedicine and Health

Table des matières

Chapter 1 Preliminaries. Chapter 2 Basic Ingredients of the Empirical Likelihood. Chapter 3 EL Applying to Bayesian Paradigm. Chapter 4 EL for probability weighted moments. Chapter 5 Two group comparison and combining likelihoods for the incomplete data. Chapter 6. Quantile Comparisons. Chapter 7. Empirical Likelihood for a U-Statistic Constraint. Chapter 8. EL Application to Receiver Operating Characteristic Curve analysis. .Chapter 9 Various topics

A propos de l'auteur

Albert Vexler obtained his Ph.D. degree in Statistics and Probability Theory from the Hebrew University of Jerusalem in 2003. Dr. Vexler was a postdoctoral research fellow in the Biometry and Mathematical Statistics Branch at the National Institutes of Health, USA. Dr. Vexler is a tenured Full Professor at the SUNY, Department of Biostatistics. Dr. Vexler has authored and co-authored various publications that contribute to both the theoretical and applied aspects of statistics.
Dr. Yu received her Ph.D. degree in Statistics from Texas A & M University in 2003. Her Ph.D. advisor was Thomas E. Wehrly, Ph.D. Currently, Dr. Yu is a tenured associate Professor at the State University of New York at Buffalo, Department of Biostatistics. Also, Dr. Yu is the director of the Population Health Observatory, School of Public Health and Health Professions at the State University of New York at Buffalo.

Résumé

Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the perspective of health research applications. It includes detailed descriptions of the theoretical underpinnings of recently developed empirical likelihood-based methods.

Détails du produit

• Auteurs: Albert Vexler, Albert (The State University of New York Vexler, Vexler Albert, Jihnhee Yu
• Edition: Taylor & Francis Ltd.
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 29.08.2022
• EAN: 9781032401812
• ISBN: 978-1-0-3240181-2
• Pages: 318
• Catégories: Sciences naturelles, médecine, informatique, technique > Mathématiques > Théorie des probabilités, stochastique, statistiques; Epidemiology & medical statistics, REFERENCE / General, MATHEMATICS / Probability & Statistics / General, MEDICAL / Epidemiology, Probability & statistics, Probability and statistics, Epidemiology and Medical statistics