Continuous Bernoulli distribution---simulator and test statistic

Book Description

This is an advanced and completely descriptive book for the continuous Bernoulli distribution that is very important to deep learning and variational autoencoder. This book is free to read and contains (1) the continuous Bernoulli distribution about sufficient statistic, point estimator, test statistic, confidence interval, the goodness of fit, and one-way analysis. (2) The test statistic and confidence interval of two Continuous Bernoulli populations. (3) The Continuous Trinomial distribution. The software and the code can be downloaded on Google drive(https://reurl.cc/WLY689) or Github(https://github.com/meiyulee/continuous_Bernoulli).

Kuan-Sian Wang; Mei-Yu Lee

Mei-Yu Lee is an assistant professor at Minghsin University of Science and Technology. Her majors are big data analysis, AI analysis, applied economics and time series.