T h i s paper reviews the necessary considerations and available techniques for assessing the accuracy of remotely sensed data. Included in this review are the classification system, the sampling scheme, the sample size, spatial autocorrelation, and the assessment techniques. All analysis is based on the use of an error matrix or contingency table. Example matrices and results of the analysis a...

We propose an approach for assessing the risk of individual identification in the release of categorical data. This requires the accurate calculation of predictive probabilities for those cells in a contingency table which have small sample frequencies, making the problem somewhat different from usual contingency table estimation, where interest is generally focussed on regions of high probabil...

The graphical displays shown here are implemented in SAS/IML software whose combination of matrix operations, built-in Statistical methods for categorical data, such as loglinear models functions for contingency table analysis, and graphics provide a and logistic regression, represent discrete analogs of the analysis of convenient environment for graphical display for multiway variance and regr...

In this paper, a combinational optimization algorithm is introduced to obtain the best size and location of Static Compensator (STATCOM) in power systems. Its main contribution is considering contingency analysis where lines outages may lead to infeasible solutions especially at peak loads and it commonly can be vanished by load-shedding. The objective of the proposed algorithm is firstly to pr...

Four hypotheses relevant to the contingency theory of management accounting are presented. Data relate to the period 1994–98 for a sample of new Scottish microfirms. First, correlation analysis is applied to test the hypothesis that the introduction of management accounting system (MAS) developments is related to the timing of contingent events such as cashflow crises, shortfalls of finance, an...

In this paper we focus on latent class analysis of a large data set. The data deal with antisocial behaviour which is measured by 24 dichotomous variables. Latent class analysis of such huge data sets is unusual. One of the reasons is that latent class analysis defines models for contingency tables, so, if there is a set of k dichotomous items, then a table of 2 cells is modeled. It will be cle...

We consider conditional exact tests of factor effects in designed experiments for discrete response variables. Similarly to the analysis of contingency tables, a Markov chain Monte Carlo method can be used for performing exact tests, when large-sample approximations are poor and the enumeration of the conditional sample space is infeasible. For designed experiments with a single observation for...