Applied Bayesian Statistical Studies in Biology and Medicine, Paperback by Di...-image

Applied Bayesian Statistical Studies in Biology and Medicine, Paperback by Di...

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Item Height: 0.2 in Language: English Author: G. D'amore ISBN: 9781461379461 Publisher: Springer Format: Trade Paperback Publication Year: 2011 width: 6.1 in Book Title: Applied Bayesian Statistical Studies in Biology and Medicine Publication Name: Applied Bayesian Statistical Studies in Biology and Medicine Item Width: 6.1 in Item Length: 9.3 in Item Weight: 15.2 Oz Type: Textbook height: 0.2 in Subject: Biostatistics, Public Health, Applied Number of Pages: Xviii, 258 Pages Subject Area: Mathematics, Medical

Description

Applied Bayesian Statistical Studies in Biology and Medicine, Paperback by Di.... Applied Bayesian Statistical Studies in Biology and Medicine, Paperback by Di Bacco, M. (EDT); D'Amore, G. (EDT); Scalfari, F. (EDT), ISBN 1461379466, ISBN-13 9781461379461, Like New Used, Free shipping in the US This volume presents the results of biological and medical research with the statistical methods used to obtain them. Nowadays the fields of biology and experimental medicine rely on techniques for processing of experimental data and for the evaluation of hypotheses. It is increasingly necessary to stimulate awareness of the importance of statistical techniques (and of the possible traps that they can hide) by using real data in concrete situations drawn from research activity. Applied Bayesian Statistical Studies in Biology and Medicine, Paperback by Di Bacco, M. (EDT); D'Amore, G. (EDT); Scalfari, F. (EDT), ISBN 1461379466, ISBN-13 9781461379461, Like New Used, Free shipping in the US This volume presents the results of biological and medical research with the statistical methods used to obtain them. Nowadays the fields of biology and experimental medicine rely on techniques for processing of experimental data and for the evaluation of hypotheses. It is increasingly necessary to stimulate awareness of the importance of statistical techniques (and of the possible traps that they can hide) by using real data in concrete situations drawn from research activity.

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