Showing 1 - 10 of 13
The importance of the dispersion parameter in counts occurring in toxicology, biology, clinical medicine, epidemiology, and other similar studies is well known. A couple of procedures for the construction of confidence intervals (CIs) of the dispersion parameter have been investigated, but...
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In many clinical trials and epidemiological studies, comparing the mean count response of an exposed group to a control group is often of interest. This type of data is often over-dispersed with respect to Poisson variation, and previous studies usually compared groups using confidence intervals...
Persistent link: https://www.econbiz.de/10010741024
Extra-dispersion (overdispersion or underdispersion) is a common phenomenon in practice when the variance of count data differs from that of a Poisson model. This can arise when the data come from different subpopulations or when the assumption of independence is violated. This paper develops a...
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This paper considers multivariate extension of smooth estimator of the distribution and density function based on Bernstein polynomials studied in Babu et al. [2002. Application of Bernstein polynomials for smooth estimation of a distribution and density function. J. Statist. Plann. Inference...
Persistent link: https://www.econbiz.de/10005053161
The Fisherian prescription of reporting P-values as a summary of a result, as compared to the Neyman-Pearson system of acceptance or rejection of a null hypothesis, is more common in applied science. This popularity is largely due to the fact that the P-value provides a more complete, meaningful...
Persistent link: https://www.econbiz.de/10005023160
In this paper, the problem of testing the equality of two homoscedastic normal linear models with common regression parameters is considered. A locally most powerful test which is invariant with respect to the group of location and scale transformations of the observations is derived. The test...
Persistent link: https://www.econbiz.de/10005137775
This paper considers the problem of estimating the population total when the population size is unknown. A sampling design, in which units are selected with equal probability, are sequentially marked and then returned back until a fixed number of repetitions occur, has been considered. This...
Persistent link: https://www.econbiz.de/10005223200