000 01441nam a2200289Ia 4500
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005 20251118145747.0
008 220909b |||||||| |||| 00| 0 eng d
020 _a9781439867037
037 _cTextual
040 _aCSL
_beng
_cCSL
041 _aeng
084 _aB28 Q2 TB
_qCSL
100 _aNeuhauser, Markus
_eauthor
_9852053
245 0 _aNonparametric Statistical Tests
_b: A Computational Approach
260 _aLondon :
_bCRC ,
_c2012 .
300 _axvii,229p.
500 _aIncluded Bibliography 203-226p.; Index 227-229p.
520 _aNonparametric 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.
650 _aBootstrap.
_9852054
650 _aComputer intensive methods.
_9852055
650 _aNonparametric tests.
_9852056
650 _aPermutation tests.
_9852057
650 _aStatistics.
_9852058
942 _hB28 Q2 TB
_cTEXL
_2CC
_n0
999 _c8801
_d8801