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 svmiller.com
The Normal Distribution, Central Limit Theorem, and Inference from a Sample | Steven V. Miller
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Why and How to Model Conditional Variance, with an Application to My Letterboxd Data - Mark H. White II, PhD
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OLS Regression Diagnostics
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Do my data follow a normal distribution? A note on the most widely used distribution and how to test for normality in R - Sta...
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| | This article explains in details what is the normal or Gaussian distribution, its importance in statistics and how to test if your data is normally distributed
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On the density estimation | Crackpot Trisector Notes
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| For probability space $latex (\Omega, \mathcal{F}, \mathbb{P})$ with $latex A \in \mathcal{F}$ the indicator random variable $latex {\bf 1}_A : \Omega \rightarrow \mathbb{R} = \left\{ \begin{array}{cc} 1, & \omega \in A \\ 0, & \omega \notin A \end{array} \right.$ Than expected value of the indicator variable is the probability of the event $latex \omega \in...