MTU Library Catalogue

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Statistical models and methods for lifetime data / J.F. Lawless..

By: Lawless, J. F. (Jerald F.), 1944-.
Material type: materialTypeLabelBookSeries: Wiley series in probability and mathematical statisticsApplied probability and statistics.Publisher: New York : Wiley, c1982Description: xi, 580 p. ; 24 cm. + hbk.ISBN: 0471085448.Subject(s): Failure time data analysis | Survival analysis (Biometry)DDC classification: 519.5
Contents:
Basic concepts and models -- Life tables, graphs and related procedures -- Inference procedures for exponential distributions -- Inference procedures for Weibull and extreme value distributions -- Inference procedures for some other models -- Parametric regression models -- Distribution-free methods for the proportional hazards and related regression models -- Nonparametric and distribution-free methods -- Goodness of fit tests -- Multivariate and Stochastic process models.
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Lending 519.5 (Browse shelf(Opens below)) 1 Available 00037467
Total holds: 0

Enhanced descriptions from Syndetics:

A unified treatment of models and statistical methods used in the analysis of lifetime or response time data. Draws together the most important, up-to-date methods used in engineering, medical and the biological sciences, including parametric, distribution-free, nonparametric, and graphical methods. Numerical illustrations and examples involving real data demonstrate the application of each method to problems in areas such as reliability, product performance evaluation, clinical trials, and experimentation in the biomedical sciences.

Bibliography: (pages 540-565) and indexes.

Basic concepts and models -- Life tables, graphs and related procedures -- Inference procedures for exponential distributions -- Inference procedures for Weibull and extreme value distributions -- Inference procedures for some other models -- Parametric regression models -- Distribution-free methods for the proportional hazards and related regression models -- Nonparametric and distribution-free methods -- Goodness of fit tests -- Multivariate and Stochastic process models.