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(50g) Normal Distribution
12-07-2018, 11:21 PM (This post was last modified: 12-08-2018 06:56 PM by John Keith.)
Post: #17
RE: (50g) Normal Distribution
(12-06-2018 11:08 PM)Dieter Wrote:  What is "2v"?

To get the Normal PDF for a distribution with mean µ and variance σ², normalize the variable x first by calculating (x–µ)/σ. Then apply the Standard Normal PDF Z(), and finally divide that value by σ.

In other words: simply calculate 1/σ · Z[(x–µ)/σ].

Dieter

By 2v I meant 2 * variance as in the formula I found in several references, and which was the basis of my program in the first post:

1/Sqrt(2*pi*v)*e^-((x-m)^2/(2*v))

(Please excuse my lack of MathJax ability.)

I did manage to figure out the algebra well enough to get Albert's 2-Exp method working properly with mean and variance. It is a big, slow beast of a program, though, and I will study your post carefully and hopefully come up with something better.

Thanks for your help,
John
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Messages In This Thread
(50g) Normal Distribution - John Keith - 12-03-2018, 04:20 PM
RE: (50g) Normal Distribution - Dieter - 12-03-2018, 07:05 PM
RE: (50g) Normal Distribution - John Keith - 12-03-2018, 08:45 PM
RE: (50g) Normal Distribution - Dieter - 12-03-2018, 10:18 PM
RE: (50g) Normal Distribution - John Keith - 12-03-2018, 10:59 PM
RE: (50g) Normal Distribution - John Keith - 12-04-2018, 08:54 PM
RE: (50g) Normal Distribution - Dieter - 12-04-2018, 09:48 PM
RE: (50g) Normal Distribution - Dieter - 12-05-2018, 08:49 PM
RE: (50g) Normal Distribution - John Keith - 12-06-2018, 02:58 PM
RE: (50g) Normal Distribution - Dieter - 12-06-2018, 11:08 PM
RE: (50g) Normal Distribution - John Keith - 12-07-2018 11:21 PM
RE: (50g) Normal Distribution - Dieter - 12-06-2018, 10:54 PM
RE: (50g) Normal Distribution - John Keith - 12-08-2018, 07:13 PM
RE: (50g) Normal Distribution - Dieter - 12-08-2018, 09:18 PM
RE: (50g) Normal Distribution - John Keith - 12-08-2018, 09:28 PM
RE: (50g) Normal Distribution - John Keith - 01-26-2019, 10:01 PM
RE: (50g) Normal Distribution - pier4r - 01-26-2019, 10:12 PM



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