The objective of this course is to provide the student with the knowledge in nonparametric inference and methods

The objective of this course is to provide the student with the knowledge in nonparametric inference and methods

無母數分析和傳統的母數分析最大的差別在於在做無母數分析時，不需對於母體的分佈做很多限制性大的假設，因此適用的範疇相當的廣，但也因相同的原因使得統計結論的品質較為粗糙。
本系所受之無母數分析包含下列三大範疇：(1)根據二項式分佈所做的無母數分析，如sign test, tolerance limit等。(2)根據二維列聯表所做之無母數分析，如相關性分析。(3)根據排序(rank)所做之無母數分析，如Mann-Whitney test, Friedman’s test。

The biggest difference between masterless analysis and traditional masterless analysis is that when doing masterless analysis, there is no need to make many restrictive assumptions about the distribution of the mother body, so the applicable range is quite wide, but the quality of the statistical conclusion is also rough due to the same reasons.
The non-matrix analysis received by this system includes the following three major differences: (1) The non-matrix analysis based on the two-format distribution, such as sign test, tolerance limit, etc. (2) Masterless analysis based on the two-dimensional column table, such as correlation analysis. (3) Masterless analysis based on rank, such as Mann-Whitney test, Friedman’s test.

Nonparametric Statistical Inference (fifth edition)
by J. D. Gibbons and S. Chakraborti

Nonparametric Statistical Inference (fifth edition)
by J. D. Gibbons and S. Chakraborti