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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Robust Methods in Biostatistics

Robust Methods in Biostatistics

Heritier
Cantoni
Copt

Hardcover

Series: Wiley Probability and Statistics

Medical Reference

ISBN10: 0470027266
ISBN13: 9780470027264
Publisher: John Wiley & Sons
Published: Jun 1 2009
Pages: 292
Weight: 1.22
Height: 0.82 Width: 6.34 Depth: 9.25
Language: English
Robust statistics is an extension of classical statistics that specifically takes into account the concept that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable when the data do not exactly match the postulated models as it is the case for example with outliers.

Robust Methods in Biostatistics proposes robust alternatives to common methods used in statistics in general and in biostatistics in particular and illustrates their use on many biomedical datasets. The methods introduced include robust estimation, testing, model selection, model check and diagnostics. They are developed for the following general classes of models:

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