Sep 5, 2024 · I am trying to learn how to prove the following: if we know k k events occurred in a Poisson process between times t1 t 1 and t2 t 2, the exact times of these events are uniformly …

May 25, 2015 · If two events occur at a rate of 1.8 per hour on average, and this occurrence follows a poisson process, what is the probability that there is at least 1 hour between two events? My …

Oct 4, 2013 · Poisson distributed data is intrinsically integer-valued, which makes sense for count data. Ordinary Least Squares (OLS, which you call "linear regression") assumes that true values are …

Sep 18, 2019 · This is because the CDF of Poisson distribution is related to that of a Gamma distribution. Hence the incomplete gamma function.

Note, that a poisson distribution does not automatically imply an exponential pdf for waiting times between events. This only accounts for situations in which you know that a poisson process is at …

I have count data (demand/offer analysis with counting number of customers, depending on - possibly - many factors). I tried a linear regression with normal errors, but my QQ-plot is not really goo...

Jun 26, 2015 · Poisson and exponential distributions are very strongly related but they're fundamentally different because the Poisson is discrete (a count variable) and the exponential is continuous (a …

Oct 19, 2024 · The Poisson process on R R is called non-homogenous with rate λ(t) λ (t) if its intensity measure has density λ(t) λ (t) (total mass of which might not equal 1, but otherwise it is a density). …

However, a the Kolmogorov-Smirnoff test using ks.test(x, 'pnorm',10,3) says the distribution is significantly different to a normal distribution, due to very small p value. So my question is: how does …

Jan 26, 2021 · I am starting studying statistics and I have a task to find unestimated bias for Poisson distribution. The task sounds like this: "Find unbiased estimator $\\lambda_{s} = \\lambda^{3}$ …