Flat prior (not usually recommended); Super-vague but proper prior: normal(0, 1e6) (not usually recommended); Weakly informative prior, very weak: normal(0, 10); Generic weakly informative prior: ...

A typical example of a random variable is the outcome of a coin toss. Consider a probability distribution in which the outcomes of a random event aren't equally likely to happen. Y could be 0 ...

Both variables have approximately normal distributions. The normal distribution is a good model for measurements of many kinds, including IQs, heights, and lengths of pregnancies. The distribution of ...

For long term storage allways keep the plain text history/profile file (possibly compressed to save space). Here we'll show the basics of plotting, there are more complex examples for each section.

Abstract: An approximate technique is presented for the evaluation of the mean and variance of the power sums with log-normal components ... sum provides a characterization of the cumulative ...

2003). The multivariate normal distribution was tested as a basic assumption when conducting structural equation modeling. According to Kline (2015), a normal distribution is assumed when the absolute ...

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