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- Relationship between poisson and exponential distribution
The waiting times for poisson distribution is an exponential distribution with parameter lambda But I don't understand it Poisson models the number of arrivals per unit of time for example How i
- Why is Poisson regression used for count data?
I understand that for certain datasets such as voting it performs better Why is Poisson regression used over ordinary linear regression or logistic regression? What is the mathematical motivation
- r - Rule of thumb for deciding between Poisson and negative binomal . . .
The Poisson distribution implies z ∼ N(0, 1) z ∼ N (0, 1) so a one-sample t t test can provide a P -value for testing Poisson vs negative binomial Another test for equidispersion is the Lagrange Multiplier (∑(μ2 i) − ny¯)2 (2 ∑μ2 i) (∑ (μ i 2) n y) 2 (2 ∑ μ i 2) which follows a one-degree χ2 χ 2 distribution under the null
- How to calculate a confidence level for a Poisson distribution?
Answers without enough detail may be edited or deleted Patil Kulkarni (2012, "Comparison of Confidence Intervals for the Poisson Mean: Some New Aspects", REVSTAT - Statistical Journal) discuss 19 different ways to calculate a confidence interval for the mean of a Poisson distribution
- What is a statistical significance test for two Poisson distributions?
Note that Poisson distributions are entirely determined by their parameter, so a test of equality of their mean parameter is a test for whether the distributions are the same
- Poisson or quasi poisson in a regression with count data and . . .
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
- Poisson paradigm: Why is - Mathematics Stack Exchange
Poisson paradigm: Why is λ λ, the rate of occurrence of events, equal to the sum of the probabilities of all the events that occur?
- Standard error; Poisson distribution - Cross Validated
Suppose I take n n measurements of a discrete random variable in an experiment, and from that get a mean: μ = 1 n ∑xi μ = 1 n ∑ x i I take this to be the mean in a Poisson distribution Is the uncertainty in that mean the standard error: sn = (μ n)1 2 s n = (μ n) 1 2 ?
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