Statistics

    

Multi Categories Analytic Method Using Continuous Bernoulli Distribution and Conditional Distribution

Authors: Kuan-Shian Wang, Mei-Yu Lee

This book provides four model designs to discuss how continuous Bernoulli distribution extends to the analysis of K categories. By contrast to the discrete polynomial distribution which is extended from Bernoulli distribution depending on the additive property, the random variable of continuous Bernoulli should be tested the pdf, cdf, distribution, and checked if maintain the characteristics of CB distribution or not. Model 1 is from random variable method(variable-added), Model 2 and 3 are from the probability model-building and suitable for the parameter-added or the conditional relationship of variables, respectively. Model 4 is from the continuous trinomial distribution and suitable for the joint relationship of variables.

Comments: 195 Pages.

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[v1] 2021-01-05 09:18:19

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