Survival Analysis (Hardcover). This item is unavailable.
Language: English
Published by Springer International Publishing AG, Cham, 2025
- Hardcover
- New

Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
AbeBooks seller since June 22, 2007
Condition: New
US$ 98.25
Item description from seller
Hardcover. This textbook provides a unified account of estimating the survival function, hazard rate, cumulative hazard, density, regression, conditional distributions, and linear functionals for the current status censored and right-censored data. The book contains the theory and methodology of efficient estimation, adaptation, dimension reduction, and confidence bands as well as the universal E-estimator for small samples. Exercises and a large number of simulated and real-life examples that can be repeated and modified using the complementary R package are also included. This coverage, together with the intuitive style of presentation, is ideal for people entering this field. The context is suitable for self-study or a one-semester course for graduate students with majors ranging from biostatistics and data analytics to econometrics and actuarial science. This textbook provides a unified account of estimating the survival function, hazard rate, cumulative hazard, density, regression, conditional distributions, and linear functionals for the current status censored and right-censored data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …
Seller Inventory # 9783031828133
- Title
- Survival Analysis (Hardcover)
- Author
- Sam Efromovich
- Publisher
- Springer International Publishing AG, Cham
- Publication year
- 2025
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3031828135
- ISBN 13
- 9783031828133
This textbook provides a unified account of estimating the survival function, hazard rate, cumulative hazard, density, regression, conditional distributions, and linear functionals for the current status censored and right-censored data. The book contains the theory and methodology of efficient estimation, adaptation, dimension reduction, and confidence bands as well as the universal E-estimator for small samples. Exercises and a large number of simulated and real-life examples that can be repeated and modified using the complementary R package are also included. This coverage, together with the intuitive style of presentation, is ideal for people entering this field. The context is suitable for self-study or a one-semester course for graduate students with majors ranging from biostatistics and data analytics to econometrics and actuarial science.
"Synopsis" may belong to another edition of this title.
About the Author
Sam Efromovich, Ph.D., is an Endowed Professor and the Head of Actuarial Program in the Department of Mathematical Sciences at The University of Texas at Dallas. He is an Elected Fellow of the American Statistical Association and of the Institute of Mathematical Statistics and is well known for his work on the theory and applications of nonparametric curve estimation.
"About the title" may belong to another edition of this title.