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

Jerry, as Steve pointed out you can type "edit coxphfit" to see the code. The maximum likelihood method of estimation was used to fit all three models -- log-normal, gamma, and Weibull -- to the data using the R language [30]. Statistical Models and Methods for Lifetime Data, 2nd edition. Loss Models: From Data to Decisions, John Wiley & Sons, New York. 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. Statistical Models and Methods for Lifetime Data, New York: John Wiley & Sons, 1982. 1980 (1st ed.), 2002 (2nd ed.) ISBN 9780471363576; Jerald F. * Lawless (2004) Statistical Models and Methods for Lifetime Data, Wiley, 2nd Ed. Lecture 6 (Statistical Methods of Reliability Data) Maximum Likelihood Method, Large-Sample Theory (Asymptotic Solutions) and Small-Sample Method (Bootstrap Simulation), Bayesian Updating and Markov Chain Monte Carlo simulation * Lecture 7 (Time-Dependent Structural Reliability) Formulations, . Monographs on Statistical Reliability --- A Soup? Statistical Models and Methods for Lifetime Data, 2nd Edition, John Wiley & Sons, Hoboken. 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. Fitting Lifetime Data to a Weibull Model. The statistical analysis of failure time data. "Market Structure and Innovation: A Reformulation," Quarterly Journal of Economics; v94 n2 March 1980, pp.