000 | 04130nam a2200601 i 4500 | ||
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001 | 11249678 | ||
003 | CaPaEBR | ||
005 | 20241023114847.0 | ||
006 | m eo d | ||
007 | cr cn |||m|||a | ||
008 | 160829s2016 nyu foa 001 0 eng d | ||
020 |
_a9781631575518 _qe-book |
||
035 | _a(BEP)4648714 | ||
035 | _a(OCoLC)957560388 | ||
035 | _a(CaBNVSL)swl00406797 | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
050 | 4 | _aQA278.8 | |
100 | 1 |
_aNaghshpour, Shahdad., _eauthor. |
|
245 | 1 | 2 |
_aA primer on nonparametric analysis. _nVolume II / _cShahdad Naghshpour. |
250 | _aFirst edition. | ||
264 | 1 |
_aNew York, New York (222 East 46th Street, New York, NY 10017) : _bBusiness Expert Press, _c[(c)2016.] |
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300 | _a1 online resource (85 pages) | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_adata file _2rda |
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490 | 1 |
_aEconomics collection, _x2163-7628 |
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500 | _aIncludes index. | ||
505 | 0 |
_aSection I. K related samples -- _t1. Three or more related populations: one-way analysis of variance -- _t2. K unrelated samples tests -- _tSection II. Measures of association -- _t3. Correlation coefficient -- _tIndex. |
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506 | _aAccess restricted to authorized users and institutions. | ||
520 | 3 | _aNonparametric statistics provide a scientific methodology for cases where customary statistics are not applicable. Nonparametric statistics are used when the requirements for parametric analysis fail, such as when data are not normally distributed or the sample size is too small. The method provides an alternative for such cases and is often nearly as powerful as parametric statistics. Another advantage of nonparametric statistics is that it offers analytical methods that are not available otherwise. In social sciences, often, it is not possible to obtain measurements, which renders customary analysis impossible. For example, it is not possible to measure utility but is possible to rank preference, which is based on the unmeasurable utility. Nonparametric methods provide theoretically valid options for analysis, making the use of unscientific methods unnecessary. Nonparametric methods are intuitive and simple to comprehend, which helps researchers in the social sciences understand the methods in spite of lacking mathematical rigor needed in analytical methods customarily used in science. The only prerequisite for this book is high school level elementary algebra. This book is a methodology book and bypasses theoretical proofs while providing comprehensive explanations of the logic behind the methods and ample examples, which are all solved using direct computations as well as by using Stata. The book is arranged into two integrated volumes. Although each volume, and for that matter each chapter, can be used separately, it is advisable to read as much of both volumes as possible; because familiarity with what is applicable for different problems will enhance capabilities. It is recommended that everyone read the Introduction and Chapter 1 because determining whether data are random or normally distributed is essential in the selection of parametric versus nonparametric methods. | |
530 |
_a2 _ub |
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530 | _aAlso available in printing. | ||
538 | _aMode of access: World Wide Web. | ||
538 | _aSystem requirements: Adobe Acrobat reader. | ||
588 | _aTitle from PDF title page (viewed on August 29, 2016). | ||
650 | 0 | _aNonparametric statistics. | |
653 | _aNonparametric statistics | ||
653 | _amedian | ||
653 | _aorder statistics | ||
653 | _arank | ||
653 | _aone sample | ||
653 | _atwo samples | ||
653 | _aseveral samples | ||
653 | _amultiple comparison | ||
653 | _anormality | ||
653 | _askewness | ||
655 | 0 | _a[genre] | |
776 | 0 | 8 |
_iPrint version: _z9781631575501 |
830 | 0 |
_aEconomics collection. _x2163-7628 |
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856 | 4 | 0 | _uhttps://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000513.html |
942 |
_2lcc _bCIU _cOB _eBEP _QOL _zBEP11249678 |
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999 |
_c104649 _d104649 |
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902 |
_a1 _bCynthia Snell _c1 _dCynthia Snell |