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

"Market Structure and Innovation: A Reformulation," Quarterly Journal of Economics; v94 n2 March 1980, pp. Statistical Models and Methods for Lifetime Data, 2nd edition. Loss Models: From Data to Decisions, John Wiley & Sons, New York. Mathematical methods in statistics. A computer program for comparing K samples with right-censored data. 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, . 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 methods for survival data analysis. Top; Abstract; Background; Results; Discussion; Conclusions; Methods; Competing interests; Authors' contributions; Acknowledgements; References Lawless JF: Statistical Models and Methods for Lifetime Data Book Description. 1980 (1st ed.), 2002 (2nd ed.) ISBN 9780471363576; Jerald F. The statistical analysis of failure time data. Regression models and life tables. Fitting Lifetime Data to a Weibull Model. * Lawless (2004) Statistical Models and Methods for Lifetime Data, Wiley, 2nd Ed. Journal of the Royal Statistical Society, 34, 187-220. Statistical Models and Methods for Lifetime Data, 2nd Edition, John Wiley & Sons, Hoboken. Monographs on Statistical Reliability --- A Soup? Statistical Models and Methods for Lifetime Data, New York: John Wiley & Sons, 1982. Belmont, CA: Lifetime Learning.