--> Hello statisticians especially those ho have interest on Nonparametric statistics, today in this article we will like to share with you one of the best Nonparametric statistics textbook which explain the concept of Nonparametric statistics in detail without not much waste of time let us first describe what Nonparametric statistics is about, how important do it has in the field of statistics.

Defination: Nonparametric statistics is the branch of statistics that is not based solely on parametrized families of probability distributions. Nonparametric statistics is based on either being distribution-free or having a specified distribution but with the distribution's parameters unspecified.

Nonparametric tests are sometimes called distribution-free tests because they are based on fewer assumptions (e.g., they do not assume that the outcome is approximately normally distributed). Parametric tests involve specific probability distributions (e.g., the normal distribution) and the tests involve estimation of the key parameters of that distribution (e.g., the mean or difference in means) from the sample data. The cost of fewer assumptions is that nonparametric tests are generally less powerful than their parametric counterparts (i.e., when the alternative is true, they may be less likely to reject H0).