Randomization, Bootstrap And Monte Carlo Methods In Biology Av Bryan F.j. (university Of Otago Dunedin New Zealand) Manly, Jorge A. Navarro Alberto

<P>Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. Like its bestselling predecessors, the fourth edition of <B><I>Randomization, Bootstrap and Monte Carlo Methods in Biology</B></I> illustrates a large number of statistical methods with an emphasis on biological applications. The focus is now on the use of randomization, bootstrapping, and Monte Carlo methods in constructing confidence intervals and doing tests of significance. The text provides comprehensive coverage of computer-intensive applications, with data sets available online.</P><P></P><B><P>Features</P><UL></B><P><LI>Presents an overview of computer-intensive statistical methods and applications in biology</LI><P></P><P><LI>Covers a wide range of methods including bootstrap, Monte Carlo, ANOVA, regression, and Bayesian methods</LI><P></P><P><LI>Makes it easy for biologists, researchers, and students to understand the methods used</LI><P></P

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