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Apr 27, 2020 at 6:10 comment added Carl However, there is a problem with this, as usually $\mu$ is reserved for the mean, or expected value and in this case, it is not. In this case, $\mu$ is a location parameter, and the more simple version of the exponential distribution has no location parameter.
Apr 27, 2020 at 6:02 comment added Carl @dlnB Actually the pdf is $\theta(x-\mu)\frac{1}{\sigma} e^{-\frac{x-\mu}{\sigma}}$, where $\theta(\cdot)$ is the unit step function. Alternatively, one can define an exponential distribution as an exponential for $x\ge\mu$ and zero for $x<\mu$.
Apr 27, 2020 at 3:03 review First posts
Apr 27, 2020 at 6:11
Apr 20, 2020 at 22:05 answer added Michael Hardy timeline score: 1
Apr 20, 2020 at 20:57 history edited Michael Hardy CC BY-SA 4.0
deleted 1 character in body
Apr 20, 2020 at 20:10 comment added StubbornAtom Search for 'invariance property' of MLE.
Apr 20, 2020 at 19:42 answer added Oriol B timeline score: 2
S Apr 20, 2020 at 19:36 history suggested Oriol B CC BY-SA 4.0
fixed grammar and use LaTeX syntax
Apr 20, 2020 at 19:34 comment added DglPr Appreciated. I am the novice user
Apr 20, 2020 at 19:32 comment added Oriol B I already edited your post. Try tu use LaTeX for your math expressions next time.
Apr 20, 2020 at 19:31 comment added DglPr The acutal pdf function is pdf 1/σ*exp[-(x − μ)/ σ], given x > μ. sorry i am do not have any idea more than this
Apr 20, 2020 at 19:27 review Suggested edits
S Apr 20, 2020 at 19:36
Apr 20, 2020 at 19:24 comment added dlnB Can you clarify here: 1/σ*exp[-(x − μ)/ σ] x > μ? Why do you have an inequality in your pdf?
Apr 20, 2020 at 19:13 history asked DglPr CC BY-SA 4.0