The Ordinal Data Analysis Of Skin-Care Based On Cumulative Logit Model

With social progress and economic development, people’s living standard had a very big enhancement, and the public quality of living have more and more expectations, and the skin health almost became the focus of all. Having healthy skin is an essential prerequisite for the healthy. Therefore the commodity that used on skin for common people become more and more important, so the competitive commodity market of the skin have been founded. To have a place in such a competitive market you must have the better and more prominent products. And improving the effect of the product is inseparable from the support of analysis of product test data, so you need to have a test on the products, and a statistical analysis of result data.However, a significant part of the data in the actual test is ordered categorical data. So this article use the cumulative Logit model analyzes the ordinal data of a skin-care test. Cumulative Logit model can predict the each level’s probability of ordinal classification variable. Using this model to analyze the relation between score and variables, and how does the probability of each score change over time, and analyze the score probability expectation in the characteristics of various circumstances, and then can know whether the performance between products is ideal.