Recent content by TheBigH

Obviously I'm still being unclear, so I'll give an example. Imagine I'm trying to estimate the maximum possible height a tree can reach by measuring the heights of all the trees in a forest. I can't measure their heights perfectly, so there will be some uncertainty which I assume to be normal...

Okay, assume I have a number of different data points with true values v_1, v_2, .... What I actually measure is v_1+X_1,v_2+X_2,..., where the X are gaussian random variables with mean 0 and SD of \sigma_1, \sigma_2, ..., just like youn say. It is known that there is some v_{max} such that all...

Hello everyone, I have a large number of measurements with associated uncertainties, and I know that the real values are bounded above by some constant. How can I estimate the value of that constant, and the uncertainty on the estimate? Thanks

Hi everyone, I am having a similar problem, except that mine involves repeated measurements of the same same constant quantity. Suppose I'm measuring the brightness of a star, a few times with a good telescope that gives small errors (generally of different sizes), and many times with a less...