For the distribution of extreme value Ⅰ type where all the restricution are rejected, a nonparametric statistical analysis is made on life test under constantly accelerating stress.

Based on monitoring data of particulate matter(PM) and meteorological data from September 2005 to September 2006 in Beijing,the influence of meteorological conditions on concentration levels of PM with different size ranges was investigated for four seasons using non-parameter statistical analysis such as Spearman correlation matrix.

To provide scientific evidence for varietal verify, distribution and application, the data of 2006 spring millet varieties in middle to late maturity group in northwest regional trial of china were studied by means of nonparametric statistics methods.

Two rank variates nij and n ij for the i th variety in the j th environment, four nonparametric statistics, Pi , P i, Si and Dj were introduced to describe the basic characteristics of wheat regional trial data of the Northeast early-maturing group in 2002.

Using the method of nonparametric statistics,the productivity and the stability of 9 peanut cultivars are studied .

Study on two samples location parameter of non-parameter statistics;