The correspondence analysis may be applied on contingency tables
that are composed of variables V1 and V2 (image 1), V7 and V9 (image 2), V8 and V11 (image 3), as a result of significant dependency between rows and columns, proved by Pearson's Chi-squared tests.
Raw and Adjusted Contingency Tables
(a,b,c) Variables Cluster 1 Raw cluster-treatment contingency table
Immediate treatment, (No.
The generation of contingency tables
represented by the matrix [mathematical expression not reproducible], with the I line fixed (i = 1, ..., l and l = 5 or 10), the observed frequencies [[gamma].sub.ij] (j = 1, ..., C and C = 5 or 10) were simulated according to the binomial distribution, that is [[gamma].sub.ij]~BC(n, [pi], [rho]) defined by Equation 1:
Because color ratings (the dependent variable) and some independent variables are dichotomous in nature, contingency table
analysis was performed to determine association.
The next three columns show the contingency table
values for female members as well as the transfer rate (percentage of individuals that are leaving the occupation).
To ensure that the sample size is sufficiently large, the expected value of each contingency table
entry should be at least 5.
Regarding Figures 4(a) and (b), based on Fisher's exact test for 2 x 2 contingency tables
(Everitt 1977), the probability (P) of obtaining the observed result, or one more suggestive of a departure from independence (chance), is computed to be about 8 x 10-3 %.
To examine the possibility that FRA expression correlates with TTF-1 or napsin A, contingency tables
He covers binary response, binomial and proportion responses, variations on logistic regression, count regression, contingency tables
, multinomial data, generalized linear models, random effects, repeated measures and longitudinal data, Bayesian mixed effect models, mixed effect models for non-normal responses, nonparametric regression, additive models, trees, and neural networks.
One way of testing the significance of the results is through conditional probability function using contingency tables
. A contingency table
enables us to compute the probability of misclassifying a troubled firm (type I error) and the probability of misclassifying non-troubled firm (type II error) for the, population ratios.
Yang, "An empirical investigation of some effects of sparseness in contingency tables
," Computational Statistics and Data Analysis, vol.
Therefore, we calculate a significance score based on contingency tables
commonly used in statistical theory.