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Literature
R & H (2nd
ed.)
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Topic
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Comment
R & H
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Downloadable notes
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2.1-2.14, 2.17, 2.20
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Probability
distributions for lifetimes. Fundamental properties. Important distributions
and properties.
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Only main results in
2.17 are covered.
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“Log-location-scale
families” (Week
3).
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11.1-11.3, 11.5
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Lifetime data.
Censoring. Nonparametric methods. Plotting (TTT, Kaplan-Meier, Nelson-Aalen.)
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”About the exponential
distribution, Poisson process, etc.” (Week 4).
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11.4
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Parametric estimation
and testing. Maximum likelihood. Information matrix. Confidence intervals.
Probability plots
(MINITAB).
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11.4.1 and 11.4.6 are
not covered by the course.
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“On likelihood
construction” and “On parametric inference in lifetime models” (Week 6)
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Ch.
12.
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Regression methods.
Covariates. Weibull regression. Cox-regression. Accellerated
lifetime testing.
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12.2 is not treated in lectures. Example 12.2 page 532 and
rest of Ch. 12 are not covered by the course.
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“Copies on surivial regression etc. -Ansell
and Phillips” (Week 11) and
“Case study on
Cox-regression” (Week 12)
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Ch. 7
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Point processes.
Recurrent events. Repairable systems. Poisson processes and renewal
processes. Modelling and statistical analysis of
data. Likelihood-methods. Trend testing
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The following is
covered (not always in detail): 7.1 only to 7.1.3; most of 7.2, but only to
7.2.6; 7.3 to 7.3.4;
but in addition 7.3.8; most of 7.4. Extended versions of Laplace and Mil-Hdbk
tests (as used by MINITAB) are treated in lectures.
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