We consider the use of standard univariate and multivariate methods for profile analysis of randomized complete block experiments. Although the analysis for the case where the block time interaction is included in the model parallels that used for factorial experiments, situations where such...

In a seeded knockout tournament, where teams have some preassigned strength, do we have any assurances that the best team in fact has won? Is there some insight to be gained by considering which teams beat which other teams solely examining the seeds? We pose an answer to these questions by...

We compare properties of parameter estimators under Akaike information criterion (AIC) and 'consistent' AIC (CAIC) model selection in a nested sequence of open population capture-recapture models. These models consist of product multinomials, where the cell probabilities are parameterized in...

It is often the case in mixture experiments that some of the ingredients, such as additives or flavourings, are included with proportions constrained to lie in a restricted interval, while the majority of the mixture is made up of a particular ingredient used as a filler. The experimental region...

We consider the problem of finding the probability of a sample mean falling above the (n - k)th-order statistic in a random sample of size n. Explicit expressions are obtained for the exponential distribution. Some applications that pertain to testing for outliers and goodness of fit are given.

This paper presents details of the calculation of the average outgoing quality limit (AOQL) for a short-run CSP-1 plan based on Y ang's renewal process approach. A solution procedure is developed to find the unique combination (i,f) that will meet the AOQL requirement, while also minimizing the...

Kane has discussed a simple method for identifying the confounded interactions from 2n factorial experiments when a replication consists of (1) two blocks and (2) more than two blocks. It should be noted that Kane's method holds only for (1) regular design and (2) when one interaction is...

Correlated survival data arise frequently in biomedical and epidemiologic research, because each patient may experience multiple events or because there exists clustering of patients or subjects, such that failure times within the cluster are correlated. In this paper, we investigate the...

In this paper, we show that, under certain regularity conditions, constructing likelihood ratio confidence regions using a boostrap estimate of the distribution of the likelihood ratio statistic-instead of the usual chi 2 approximation-leads to regions which have a coverage error of O(n- 2),...

A mathematical classification method is presented to show how numerical tests for abnormal anatomical shape change can be used to study geometrical shape changes of the hippocampus in relation to the occurrence of schizophrenia. The method uses the well-known best Bayesian decision rule for two...