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

A welcome addition to the literature on survival analysis.for a unified and thorough reference of classical theory and models, this book is an excellent choice. Statistical methods for survival data analysis. Language: English Released: 2002. This is a list of statistics resources I have discovered on the World Wide Web (WWW). GO Statistical Models and Methods for Lifetime Data Author: Jerald F. Fitting Lifetime Data to a Weibull Model. Statistical Models and Methods for Lifetime Data (Wiley Series in. Top; Abstract; Background; Results; Discussion; Conclusions; Methods; Competing interests; Authors' contributions; Acknowledgements; References Lawless JF: Statistical Models and Methods for Lifetime Data Book Description. Belmont, CA: Lifetime Learning. Journal of the Royal Statistical Society, 34, 187-220. Mathematical methods in statistics. Regression models and life tables. Cheap and Compare Mathematical and Statistical Models and Methods in Reliability: Applications to Medicine, Finance, and Quality Control Web Store contributions quilt a large range of applications, reflecting up to date developments in spaces this form ofs survival prognosis, getting old, lifetime data prognosis, synthetic intelligence, medicine, carcinogenesis studies, nuclear energy, financial adaptationing, plane engineering, quality regulate, and transportation. A computer program for comparing K samples with right-censored data. 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. Publisher: Wiley-Interscience Page Count: 330.