Add to ORKGUnpublished manuscript. (This was written to be part of my dissertation, but it was left out.
The reader of modern statistical literature will, in many areas of science, frequently come across a...
12 pages, 1 article*Poisson Versus Gamma Sampling for Estimation in the Poisson Process* (Solomon, D...
In practice, outlying observations are not uncommon in many study domains. Without knowing the under...
Note: Missing Page 118.In 1837 a paper by Poisson [61] was published in France, establishing the Poi...
Graduation date: 1984This thesis is concerned with the problem of developing a\ud method to categori...
The outlier behaviour of distributions and the decay of power of optimal tests at decreasing level. ...
The problem of the detection of outliers is meaningful only within the context of a given statistica...
The Poisson regression model remains an important tool in the econometric analysis of count data. In...
The random variable X taking values 0,1,2,…,x,… with probabilities pλ(x) = e−λλx/x!, where λ∈R0+ is ...
Given a set of independent Poisson random vari-ableswith common mean, we study the distribution of t...
An outlier is an observation that appears to deviate markedly from other observations in the sample ...
(2009), doi: 10.1016/j.mechmat.2009.04.008 This is a PDF file of an unedited manuscript that has bee...
This note reviews how the contemporary concept of the Poisson process (sometimes called the Poisson ...
summary:The compound Poisson-gamma variable is the sum of a random sample from a gamma distribution ...
Observed cell counts in contingency tables are perceived as outliers if they have low probability un...
The reader of modern statistical literature will, in many areas of science, frequently come across a...
12 pages, 1 article*Poisson Versus Gamma Sampling for Estimation in the Poisson Process* (Solomon, D...
In practice, outlying observations are not uncommon in many study domains. Without knowing the under...
Note: Missing Page 118.In 1837 a paper by Poisson [61] was published in France, establishing the Poi...
Graduation date: 1984This thesis is concerned with the problem of developing a\ud method to categori...
The outlier behaviour of distributions and the decay of power of optimal tests at decreasing level. ...
The problem of the detection of outliers is meaningful only within the context of a given statistica...
The Poisson regression model remains an important tool in the econometric analysis of count data. In...
The random variable X taking values 0,1,2,…,x,… with probabilities pλ(x) = e−λλx/x!, where λ∈R0+ is ...
Given a set of independent Poisson random vari-ableswith common mean, we study the distribution of t...
An outlier is an observation that appears to deviate markedly from other observations in the sample ...
(2009), doi: 10.1016/j.mechmat.2009.04.008 This is a PDF file of an unedited manuscript that has bee...
This note reviews how the contemporary concept of the Poisson process (sometimes called the Poisson ...
summary:The compound Poisson-gamma variable is the sum of a random sample from a gamma distribution ...
Observed cell counts in contingency tables are perceived as outliers if they have low probability un...
The reader of modern statistical literature will, in many areas of science, frequently come across a...
12 pages, 1 article*Poisson Versus Gamma Sampling for Estimation in the Poisson Process* (Solomon, D...
In practice, outlying observations are not uncommon in many study domains. Without knowing the under...