Survival Models and Their Estimation
Author | : Dick London |
Publisher | : |
Total Pages | : 348 |
Release | : 1988 |
Genre | : Business & Economics |
ISBN | : |
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Author | : Dick London |
Publisher | : |
Total Pages | : 348 |
Release | : 1988 |
Genre | : Business & Economics |
ISBN | : |
Author | : Dick London |
Publisher | : |
Total Pages | : 0 |
Release | : 1988 |
Genre | : |
ISBN | : |
Author | : Dick London |
Publisher | : |
Total Pages | : 124 |
Release | : 1997 |
Genre | : Insurance |
ISBN | : 9781566982924 |
Author | : Regina C. Elandt-Johnson |
Publisher | : John Wiley & Sons |
Total Pages | : 490 |
Release | : 2014-11-05 |
Genre | : Mathematics |
ISBN | : 1119011035 |
Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension. This book, originally published in 1980, surveys and analyzes methods that use survival measurements and concepts, and helps readers apply the appropriate method for a given situation. Four broad sections cover introductions to data, univariate survival function, multiple-failure data, and advanced topics.
Author | : Stephen G. Kellison |
Publisher | : ACTEX Publications |
Total Pages | : 1150 |
Release | : 2011 |
Genre | : Business & Economics |
ISBN | : 1566987709 |
Much of actuarial science deals with the analysis and management of financial risk. In this text we address the topic of loss models, traditionally called risk theory by actuaries, including the estimation of such models from sample data. The theory of survival models is addressed in other texts, including the ACTEX work entitled Models for Quantifying Risk which might be considered a companion text to this one. In Risk Models and Their Estimation we consider as well the estimation of survival models, in both tabular and parametric form, from sample data. This text is a valuable reference for those preparing for Exam C of the Society of Actuaries and Exam 4 of the Casualty Actuarial Society. A separate solutions' manual with detailed solutions to the text exercises is also available.
Author | : Regina C. Elandt-Johnson |
Publisher | : John Wiley & Sons |
Total Pages | : 480 |
Release | : 1999-02-22 |
Genre | : Mathematics |
ISBN | : 9780471349921 |
Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension. This book, originally published in 1980, surveys and analyzes methods that use survival measurements and concepts, and helps readers apply the appropriate method for a given situation. Four broad sections cover introductions to data, univariate survival function, multiple-failure data, and advanced topics.
Author | : Rupert G. Miller, Jr. |
Publisher | : John Wiley & Sons |
Total Pages | : 254 |
Release | : 2011-01-25 |
Genre | : Mathematics |
ISBN | : 1118031067 |
A concise summary of the statistical methods used in the analysis of survival data with censoring. Emphasizes recently developed nonparametric techniques. Outlines methods in detail and illustrates them with actual data. Discusses the theory behind each method. Includes numerous worked problems and numerical exercises.
Author | : Xian Liu |
Publisher | : John Wiley & Sons |
Total Pages | : 433 |
Release | : 2012-06-13 |
Genre | : Mathematics |
ISBN | : 1118307674 |
Survival analysis concerns sequential occurrences of events governed by probabilistic laws. Recent decades have witnessed many applications of survival analysis in various disciplines. This book introduces both classic survival models and theories along with newly developed techniques. Readers will learn how to perform analysis of survival data by following numerous empirical illustrations in SAS. Survival Analysis: Models and Applications: Presents basic techniques before leading onto some of the most advanced topics in survival analysis. Assumes only a minimal knowledge of SAS whilst enabling more experienced users to learn new techniques of data input and manipulation. Provides numerous examples of SAS code to illustrate each of the methods, along with step-by-step instructions to perform each technique. Highlights the strengths and limitations of each technique covered. Covering a wide scope of survival techniques and methods, from the introductory to the advanced, this book can be used as a useful reference book for planners, researchers, and professors who are working in settings involving various lifetime events. Scientists interested in survival analysis should find it a useful guidebook for the incorporation of survival data and methods into their projects.
Author | : Jiajia Zhang |
Publisher | : |
Total Pages | : 258 |
Release | : 2007 |
Genre | : Estimation theory |
ISBN | : |
Author | : D.R. Cox |
Publisher | : Routledge |
Total Pages | : 216 |
Release | : 2018-02-19 |
Genre | : Mathematics |
ISBN | : 1351466607 |
This monograph contains many ideas on the analysis of survival data to present a comprehensive account of the field. The value of survival analysis is not confined to medical statistics, where the benefit of the analysis of data on such factors as life expectancy and duration of periods of freedom from symptoms of a disease as related to a treatment applied individual histories and so on, is obvious. The techniques also find important applications in industrial life testing and a range of subjects from physics to econometrics. In the eleven chapters of the book the methods and applications of are discussed and illustrated by examples.