Robust confidence bounds for the mean of some count data models

Related Items

The concepts of pseudo compound Poisson and partition representations in discrete probability ⋮ A characterization of the compound multiparameter Hermite gamma distribution via Gauss's principle

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
On maximum likelihood estimation for count data models
A remark on the Poisson-Pascal and some other contagious distributions
Generalized hypergeometric, digamma and trigamma distributions
From the generalized gamma to the generalized negative binomial distribution
Exact confidence bounds when sampling from small finite universes. An easy reference based on the hypergeometric distribution
Existence and uniqueness of the maximum likelihood estimator for the two- parameter negative binomial distribution
Estimating the dimension of a model
A triptych of discrete distributions related to the stable law
A Generalization of the Poisson Distribution
Taylor Expansion of exp(∑ ∞ k = 0 a k z k ) and Some Applications
Mathematische Untersuchungen zur Beitragsrückgewähr in der Kraftfahrversicherung
Laplace transforms, Mellin transforms and mixed poisson processes
Using Mixed Poisson Processes in Connection with Bonus-Malus Systems
On the probabilities of the log-zero-poisson distribution
Wahrscheinlichkeitstheoretische Modelle in der Schadenversicherung
On a family of counting distributions and recursions for related compound distributions
On parameter orthogonality to the mean
Coefficient Identities for Powers of Taylor and Dirichlet Series
On mean scaled insurance risk models
The Mixed Bivariate Hofmann Distribution
Berechnung eines Konfidenzintervalls für die Anzahl der Elemente mit einer speziellen Eigenschaft in einer endlichen Grundgesamtheit auf der Grundlage einer geschichteten Stichprobe kleinen Umfangs
On evaluation of the Delaporte distribution and related distributions
On the Problem of Confidence Intervals
Confidence Intervals for the Number Showing a Certain Characteristic in a Population when Sampling is Without Replacement