8 papers
Combining Data from Surveys and Related Sources
Dexter Cahoy, Joseph Sedransk
To improve the precision of inferences and reduce costs there is considerable interest in combining data from several sources such as sample surveys and administrative data. Approp…
Bayesian inference for asymptomatic COVID-19 infection rates
Dexter Cahoy, Joseph Sedransk
To strengthen inferences meta analyses are commonly used to summarize information from a set of independent studies. In some cases, though, the data may not satisfy the assumptions…
Flexible models for overdispersed and underdispersed count data
Dexter Cahoy, Elvira Di Nardo, Federico Polito
Within the framework of probability models for overdispersed count data, we propose the generalized fractional Poisson distribution (gfPd), which is a natural generalization of the…
Estimation of Mittag-Leffler Parameters
Dexter Cahoy
We propose a procedure for estimating the parameters of the Mittag-Leffler (ML) and the generalized Mittag-Leffler (GML) distributions. The algorithm is less restrictive, computati…
Parameter estimation for fractional Poisson processes
Dexter Cahoy, Vladimir V. Uchaikin, Wojbor A. Woyczynski
The paper proposes a formal estimation procedure for parameters of the fractional Poisson process (fPp). Such procedures are needed to make the fPp model usable in applied situatio…
A bootstrap test for equality of variances
Dexter Cahoy
We introduce a bootstrap procedure to test the hypothesis that variances are homogeneous. The procedure uses a variance-based statistic, and is derived from a normal-th…