Kamis, 20 Oktober 2011

Robust Methods in Biostatistics

Robust Methods in Biostatistics
Author: Stephane Heritier
Edition: 1
Binding: Hardcover
ISBN: 0470027266

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. Download Robust Methods in Biostatistics (Wiley Series in Probability and Statistics) from rapidshare, mediafire, 4shared. 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:Linear regressionGeneralized linear modelsLine Search and find a lot of medical books in many category availabe for free download. Robust Methods in Biostatistics medical books pdf for free. They are developed for the following general classes of models:Linear regressionGeneralized linear modelsLine



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