Nonparametric Statistics for Applied Research As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. In terms of levels of measurement, non-parametric methods result in "ord
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| Title | : | Nonparametric Statistics for Applied Research |
| Author | : | |
| Rating | : | 4.66 (879 Votes) |
| Asin | : | 1461490405 |
| Format Type | : | Hardcover |
| Number of Pages | : | 408 Pages |
| Publish Date | : | 2013-11-16 |
| Genre | : |
Editorial : From the Back Cover
Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, non-parametric methods result in "ordinal" data. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. In particular, they may be applied in situations where less is known about the application in question. Also, due to the reliance on fewer assumptions, non-parametric methods are more robust. Non-parametric methods have many popular applications, and are widely used in research in the fields of the behavioral sciences and biomedicine.
This is a textbook on non-parametric statistics for applied research. The authors propose
Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, non-parametric methods result in "ordinal" data. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. In particular, they may be applied in situations where less is known about the application in question. Also, due to the reliance on fewer assumptions, non-parametric methods are more robust. Non-parametric methods have many popular applications, and are widely used in research in the fields of the behavioral sciences and biomedicine. This is a textbook on non-parametric statistics for applied research. The authors propose to use a realistic yet mostly f
I'll just add my two cents and say this book was horribly written and way overpriced when it was published in 2005. The plot was great (after it got going), with a return of the strong, determined Riley from previous books (even in the midst of some serious obstacles thrown in her way). A lesson to be learned by those of us untouched by mental illness and addictions, and to those who have never understood the hold addictions can have on the unsuspecting until it is too late.. 1) Given that most of these images are out of copyright and are readily available (if nothing else, one could simply scan them from an earlier edition of the book) what are the practical obstacles to reproduction? 2) The ability to interrupt one's reading to search for and possibly find a particular image on the Internet is hardly a viable substitute for having images embedded in the text.
I suggest that readers find an earlier, complete edition of this work, if possible.. However God also gave Rick men
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