APPLIED NON-PARAMETRIC STATISTICS FOR BIOTECHNOLOGY
cod. 23871

Academic year 2008/09
1° year of course - Second semester
Professor
Academic discipline
Ecologia (BIO/07)
Field
Ambito aggregato per crediti di sede
Type of training activity
Hub-specific activity
40 hours
of face-to-face activities
5 credits
hub:
course unit
in - - -

Learning objectives

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Prerequisites

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Course unit content

 
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<p style="text-align: justify; line-height: 150%;" class="MsoNormal"><span lang="EN-GB" style="">Testing for goodness of fit. Chi-square test, correction for continuity, normal approximation, the contingency tables, log-likelihood ratio,<o:p></o:p></span></p>
<p style="text-align: justify; line-height: 150%;" class="MsoNormal"><span lang="EN-GB" style="">The One-Sample or matched-Pairs Case. Runs test. Sign test, Wilcoxon’s T test, Permutation test. Kolmogorov-Smirnov test. Mc-Nemar test<o:p></o:p></span></p>
<p style="text-align: justify; line-height: 150%;" class="MsoNormal"><span lang="EN-GB" style="">Median test. Wilcoxon-Mann-Whitney T test, Mann-Whitney U Test, </span><st1:place><span lang="EN-GB" style="">Kendall</span></st1:place><span lang="EN-GB" style="">’s S test. Fisher’s randomization test. Test for difference in dispersion and variability for two samples: Wald-Wolfowitz test, Siegel-Tukey test,<span style="">  </span>Moses,s test,<span style="">  </span>Kolmogorov-Smirnov for two samples.<o:p></o:p></span></p>
<p style="text-align: justify; line-height: 150%;" class="MsoNormal"><span lang="EN-GB" style="">Median test for several samples. Kuskal-Wallis test. Friedman’s test. Test for difference in dispersion and variability for several samples<o:p></o:p></span></p>
<p style="text-align: justify; line-height: 150%;" class="MsoNormal"><span lang="EN-GB" style="">Tests for trend: Cox e Stuart, Jonckheere or Jonckheere-Terpstra, Mack-Wolfe or Umbrella test, Page.<o:p></o:p></span></p>
<p style="text-align: justify; line-height: 150%;" class="MsoNormal"><span lang="EN-GB" style="">Measures for association:<span style="">  </span><span style=""> </span>Sakoda,<span style="">  </span>Pearson, Cramér, Tschuprov. Yule, Somers, Kendall.<o:p></o:p></span></p>
<p style="text-align: justify; line-height: 150%;" class="MsoNormal"><span lang="EN-GB" style="">Nonparametric correlation and linear regression: Spearman, </span><st1:place><span lang="EN-GB" style="">Kendall</span></st1:place><span lang="EN-GB" style="">, Pitman, Blomqvist, Theil-Kendall, Iman-Conover.<o:p></o:p></span></p>

Full programme

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Bibliography

Soliani L. (2008) I test non-parametrici più citati nelle discipline scientifiche. UNI.NOVA, Parma<br />
(pagg. VII + 828)  ISBN: 978-88-6319-022-9  www.uninova.net<br />
-Conover W. J., (1998)  Practical Nonparametric Statistics 3rd ed. John Wiley, New York. 584 pp.<br />
-Hollander Myles and Douglas A. Wolfe (1999) Nonparametric Statistical Methods. 2nd ed. John Wiley and Sons, Inc. New York.  14 + 787 pp.<br />
-Siegel Sidney and N. John Jr. Castellan (1988) Nonparamteric Statistics for the Behavioral Sciences. 2nd ed. McGraw Hill, New York.

Teaching methods

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Assessment methods and criteria

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Other information

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