A Consistent Test for Multivariate Normality Based on the Empirical Characteristic Function.
A Curtailed Test for the Shape Parameter of the Weibull Distribution.
A Fixed Sample Size Selection Procedure Negative Binomial Populations.
A New Process Capability Index.
An integrated selection formulation for the best normal mean: The unequal and unknown variance case.
a-Optimal Sampling Plans for Lot-by-Lot Defects Inspection.
Bestimmung kostenoptimaler Parameter für den kontinuierlichen Stichprobenplan von DODGE.
Critical values of Fisher's and Siegel's test
Distribución del cuadrado de la máxima correlación canónica para tamaños muestrales pequeños.
Exact Critical Values of Bartlett's Test of Homogeneity of Variances for Unequal Sample Sizes for two Populations and Power of the Test.
Note on the truncated Rayleigh variate
On Bartlett's test for correlation between time series
An explicit formula for the correlation coefficient in a two-dimensional AR(1) process is derived. Approximate critical values for the correlation coefficient between two one-dimensional AR(1) processes are tabulated. They are based on Bartlett’s approximation and on an asymptotic distribution derived by McGregor. The results are compared with critical values obtained from a simulation study.
On the Behrens-Fisher distribution and its generalization to the pairwise comparisons
Weerahandi (1995b) suggested a generalization of the Fisher's solution of the Behrens-Fisher problem to the problem of multiple comparisons with unequal variances by the method of generalized p-values. In this paper, we present a brief outline of the Fisher's solution and its generalization as well as the methods to calculate the p-values required for deriving the conservative joint confidence interval estimates for the pairwise mean differences, refered to as the generalized Scheffé intervals....
On the computation of the exact distribution of power divergence test statistics
In this paper we introduce several algorithms to generate all the vectors in the support of a multinomial distribution. Computational studies are carried out to analyze their efficiency with respect to the CPU time and to calculate their efficiency frontiers. The proposed algorithm is used to calculate exact distributions of power divergence test statistics under the hypothesis of uniformity. Finally, several exact power comparisons are done for different divergence statistics and families of alternatives...
On the significance level of the multirelation coefficient.
Parameter estimation in cosine regression
Performance of Cumulative Sum Schemes for Monitoring Low Count-Level Processes.
STAR, un langage de manipulation de résumés statistiques structurés
Tables for processes with exponential white noise
Tables for a statistical quality control test
Critical constants for a test of the hypothesis that the mean and the standard deviation of the normal population satisfy the constrains , , are presented. In this setup are prescribed tolerance limits and in a chosen constant.