Search results for "Configural frequency analysis"

showing 3 items of 3 documents

Catecholamine Response Curves of Male Hypertensives Identified by Lehmacher's Two Sample Configural Frequency Analysis

1997

A new application of LEHMACHER'S (1980) marginal homogeneity sign tests is given by analysis of bivariate response curves (or response surfaces) in two unpaired samples of hypertensive versus normotensive patients. Rationale and computations are illustrated by empirical data from sympathomedullary stress research.

Statistics and ProbabilityContingency tableEmpirical dataFrequency analysisGeneral MedicineBivariate analysisMarginal homogeneitylaw.inventionlawStatisticsCatecholaminemedicineTwo sampleStatistics Probability and UncertaintyConfigural frequency analysisMathematicsmedicine.drugBiometrical Journal
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Test Procedures in Configural Frequency Analysis (CFA) Controlling the Local and Multiple Level

1987

The test statistics used until now in the CFA have been developed under the assumption of the overall hypothesis of total independence. Therefore, the multiple test procedures based on these statistics are really only different tests of the overall hypothesis. If one likes to test a special cell hypothesis, one should only assume that this hypothesis is true and not the whole overall hypothesis. Such cell tests can then be used as elements of a multiple test procedure. In this paper it is shown that the usual test procedures can be very anticonservative (except of the two-dimensional, and, for some procedures, the three-dimensional case), and corrected test procedures are developed. Further…

Statistics and ProbabilityContingency tableGeneral MedicineTest (assessment)StatisticsPortmanteau testEconometricsChi-square testTest statisticStatistics Probability and UncertaintyConfigural frequency analysisIndependence (probability theory)MathematicsStatistical hypothesis testingBiometrical Journal
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Sequentially Rejective Test Procedures for Detecting Outlying Cells in One- and Two-Sample Multinomial Experiments

1985

For multiple testing of multinomial models in the case of one or two samples we propose using test procedures based on the principle described by MARCUS, PERITZ and GABRIEL (1976). These methods are based in each step of the sequentially rejective strategy on tests which exhaust the full α level (i.e. which are not conservative). The tests can be performed in a finite or asymptotic version.

Statistics and ProbabilityContingency tableTest proceduresStatisticsMultiple comparisons problemMultinomial distributionGeneral MedicineTwo sampleStatistics Probability and UncertaintyAlgorithmConfigural frequency analysisMathematicsBiometrical Journal
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