We study the problem of ignorability in likelihood-based inference from incomplete categorical data. Two versions of the coarsened at random assumption (car) are distinguished, their compatibility with the parameter distinctness assumption is investigated, and several conditions for ignorability that do not require an extra parameter distinctness assumption are established. It is shown that car...

Dynamical systems approach for clustering categorical data have been studied by some authors [1]. However, the proposed dynamic algorithm cannot guarantee convergence, so that the execution may get into an in nite loop even for very simple data. We de ne a new conguration updating algorithm for clustering categorical data sets. Let us consider a relational table with k elds, each of which can a...

• Section 10.1 Proportions — Goodness-of-fit • Section 10.2 2 × 2 tables — test of equality of population proportions • Section 10.3 2 × 2 tables — test of independence of categorical variables • Section 10.4 2 × 2 tables — Fisher’s exact test • Section 10.5 r × k tables • Section 10.6 Applicability — when are the methods valid? • Section 10.7 Confidence intervals for differences in porportions...

in this paper we examine the effect of the oil volatility, consumer price index (cpi) and industrial production on the stock market return in tehran stock exchange (tse). we used seasonal data in period 1378-1390 and auto regressive distributed method (ardl) for the short-term and long-term relationship between the variables. as results of research indicate, we find that there is positive short...