Using Bayesian for estimating parameter

[Hoaithanhbk_281113]

@lucianopaz

I’m sorry if this is known to you but I felt that there was some confusion in your post because you said that your observations come from a normal with some parameters values that you already knew, and then there was a uniform prior, which was not associated to any parameter of your observed data. The terminology can be a bit confusing but it is very important.

Thanks you replied my post.

I will present for you the detail my post. the first I only know the value range of S [0,1]. I carried out random the S value with seed (20). I have the 20 values and then I experiments with this 20 values. I have corresponding 20 values of K. I see the K coefficient have the normal distribution with mean 1.3 and standard deviation = 0.05. Now I want to consider the posterior of the S coefficient. How to consider the posterior of the S coefficient ?
thanks you.