| 000 | 01441nam a2200289Ia 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20251118145747.0 | ||
| 008 | 220909b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781439867037 | ||
| 037 | _cTextual | ||
| 040 |
_aCSL _beng _cCSL |
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| 041 | _aeng | ||
| 084 |
_aB28 Q2 TB _qCSL |
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| 100 |
_aNeuhauser, Markus _eauthor _9852053 |
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| 245 | 0 |
_aNonparametric Statistical Tests _b: A Computational Approach |
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| 260 |
_aLondon : _bCRC , _c2012 . |
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| 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 |
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| 650 |
_aComputer intensive methods. _9852055 |
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| 650 |
_aNonparametric tests. _9852056 |
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| 650 |
_aPermutation tests. _9852057 |
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| 650 |
_aStatistics. _9852058 |
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| 942 |
_hB28 Q2 TB _cTEXL _2CC _n0 |
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| 999 |
_c8801 _d8801 |
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