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Statistical Models and Methods for Lifetime Data Jerald F. Lawless
Publisher: Wiley-Interscience

The journal advances and promotes statistical science in various applied fields that deal with lifetime data, including the journal includes accelerated failure time models, degradation processes, meta-analysis, models for multiple events, nonparametric estimation of survival functions, quality-of-life models, rank tests for comparing lifetime distributions, and reliability methods. Lifetime Data Analysis is the only journal dedicated to statistical methods and applications for lifetime data. This is a list of statistics resources I have discovered on the World Wide Web (WWW). Journal of the Royal Statistical Society, 34, 187-220. Regression models and life tables. A computer program for comparing K samples with right-censored data. Statistical Models and Methods for Lifetime Data, 2nd Edition, John Wiley & Sons, Hoboken. Statistical methods for survival data analysis. Statistical Models and Methods for Lifetime Data (Wiley Series in. Statistical Models and Methods for Lifetime Data, New York: John Wiley & Sons, 1982. Jerry, as Steve pointed out you can type "edit coxphfit" to see the code. 45.Long-Memory Time Series: Theory and Methods 46.Statistical Models and Methods for Lifetime Data 47.Uncertainty Analysis with High Dimensional Dependence Modelling 48.Simulation and the Monte Carlo Method 49. "Market Structure and Innovation: A Reformulation," Quarterly Journal of Economics; v94 n2 March 1980, pp. Reliability analysis (or survival analysis) is a branch of statistics that deals with death in biological organisms and failure in mechanical or electronics systems, which may be within a localized test time. Loss Models: From Data to Decisions, John Wiley & Sons, New York. Belmont, CA: Lifetime Learning. Fitting Lifetime Data to a Weibull Model. Mathematical methods in statistics.