Continuous Bernoulli distribution---simulator and test statistic
Continuous Bernoulli distribution---simulator and test statistic is a free 170-page computer sciences ebook by Kuan-Sian Wang; Mei-Yu Lee, published Nov 2020. It is free to download in PDF, ePub, and Kindle formats — no payment required. Downloaded 109 times.
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Author: Kuan-Sian Wang; Mei-Yu Lee
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Pages: 170
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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).
Last updated: November 23, 2020
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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.