Results 241 to 250 of about 767,011 (273)
Some of the next articles are maybe not open access.
Parametric v non-parametric statistical tests
BMJ, 2012Researchers investigated five year mortality in patients with chronic heart failure by comparing those with impaired left ventricular function (n=359) with those with preserved function (n=163).1 A prospective cohort study design was used, with patients enrolled if they had had stable symptomatic chronic heart failure for at least three months ...
openaire +1 more source
Parametric Nonparametric Statistics
The American Statistician, 2008Ronald Christensen +2 more
openaire +3 more sources
1974
The theory and use of non-parametric statistics is a large subject in itself. As the name suggests, non-parametric statistics use tests whose models do not specify conditions about the parameters of the population from which the sample was drawn. Such tests are usually applied to nominal or ordinal observations (see section 1.2)—the weaker levels of ...
openaire +1 more source
The theory and use of non-parametric statistics is a large subject in itself. As the name suggests, non-parametric statistics use tests whose models do not specify conditions about the parameters of the population from which the sample was drawn. Such tests are usually applied to nominal or ordinal observations (see section 1.2)—the weaker levels of ...
openaire +1 more source
Statistical Analysis V: Non-parametric Statistics
1987The NPAR procedure allows the user to carry out a variety of non-parametric statistical tests. Unlike parametric statistics (including the t-test, anova, the product-moment correlation, etc.) non-parametric statistics make few assumptions about the nature of the data.
openaire +1 more source
Parametric Statistical Inference
Technometrics, 1998Ram Shanmugam, J. K. Lindsey
openaire +2 more sources
Parametric Statistical Theory.
Journal of the American Statistical Association, 1996Jaromir Anroch +2 more
openaire +1 more source