Neuhauser,  Markus <br/><br/>
Nonparametric Statistical Tests   : A Computational Approach 

 - London :  CRC ,         2012 . 
 - xvii,229p. 
<br/><br/> Included Bibliography 203-226p.; Index 227-229p. 
<br/><br/> Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known methods such as the Baumgartner-Weiss-Schindler and the Cucconi tests. The book presents SAS and R programs, allowing readers to carry out the different statistical methods, such as permutation and bootstrap tests. The author considers example data sets in each chapter to illustrate methods. Numerous real-life data from various areas, including the bible, and their analyses provide for greatly diversified reading. 
<br/><br/><label>ISBN: </label>9781439867037  
<br/><br/><label>Source: </label> Textual 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Bootstrap.<br/>Computer intensive methods.<br/>Nonparametric tests.<br/>Permutation tests.<br/>Statistics.