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www.panix.com | ||
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sriku.org
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| | | | | [AI summary] The article explains how to generate random numbers that follow a specific probability distribution using a uniform random number generator, focusing on methods involving inverse transform sampling and handling both continuous and discrete cases. | |
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www.randomservices.org
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| | | | | [AI summary] The text covers various topics in probability and statistics, including continuous distributions, empirical density functions, and data analysis. It discusses the uniform distribution, rejection sampling, and the construction of continuous distributions without probability density functions. The text also includes data analysis exercises involving empirical density functions for body weight, body length, and gender-specific body weight. | |
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aakinshin.net
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| | | | | In [[carling-outlier-detector]], I evaluated the probability of outlier detection for samples from the Normal distribution across different outlier detectors. I performed numerical simulations for small sample sizes, then confidently extrapolated the result... | |
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hadrienj.github.io
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| | | This post will introduce you to special kind of matrices: the identity matrix and the inverse matrix. We will use Python/Numpy as a tool to get a better intu... | ||
