A01=Mikhail Nikulin
A01=Vilijandas Bagdonavicius
Accelerated Life Models
Additive Hazards Model
advanced accelerated testing methods
aft
Aft Model
Author_Mikhail Nikulin
Author_Vilijandas Bagdonavicius
Baseline Hazard Rate Function
Baseline Survival Function S0
Categorical Explanatory Variables
Category=PBT
Category=PBWH
Constant Explanatory Variables
degradation modeling
Discrete Explanatory Variables
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
estimator
Explanatory Variable
failure time data
Failure Time Distribution
function
functions
Generalized Loglogistic Distribution
Generalized Weibull Distributions
hazard
Hazard Rate Function
Hazard Rates
ith
Kaplan Meier Estimators
Maximum Likelihood Estimator
nelsonaalen
reliability engineering
score
Score Function
semiparametric estimation
survival
survival analysis
Survival Function
Survival Function S0
Survival Function Sx
Time Dependent Explanatory Variables
Time Dependent Regression
time-varying covariates
unit
Usual Stress
Vice Versa
Product details
- ISBN 9781584881865
- Weight: 830g
- Dimensions: 156 x 234mm
- Publication Date: 28 Nov 2001
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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The authors of this monograph have developed a large and important class of survival analysis models that generalize most of the existing models. In a unified, systematic presentation, this monograph fully details those models and explores areas of accelerated life testing usually only touched upon in the literature.
Accelerated Life Models: Modeling and Statistical Analysis presents models, methods of data collection, and statistical analysis for failure-time regression data in accelerated life testing and for degradation data with explanatory variables. In addition to the classical results, the authors devote considerable attention to models with time-varying explanatory variables and to methods of semiparametric estimation. They also examine the simultaneous analysis of degradation and failure-time data when the intensities of failure in different modes depend on the level of degradation and the values of explanatory variables.
The authors avoid technical details by explaining the ideas and referring to resources where thorough analysis can be found. Whether used for teaching, research or general reference, Accelerated Life Models: Modeling and Statistical Analysis provides new and known models and modern methods of accelerated life data analysis.
Bagdonavicius, Vilijandas; Nikulin, Mikhail
