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The method or technique for displaying the relationships between categorical variables in a type of the scatter plot diagram. For two this type of variables displayed in the form of the contingency table, for instance, a set of coordinate values representing the row and column categories are resultant. A less number of these obtained coordinate values are then used to permit the table to be shown graphically. In the resulting diagram the Euclidean distances estimated chi-squared distances between the row and column categories. The coordinates are analogous to those resulting from the principal components analysis of continuous variables, except that they involve a partition of a chi-squared statistic rather than the entire variance. Such type of analysis of the contingency table permits a visual examination of any structure or the pattern in the data, and many times acts as a useful supplement to more formal inferential analyses. The Figure arises from applying the technique to the below drawn table.
Mean squarederror is the expected value of square of the difference between an estimator and the true value of the parameter. If the estimator is unbiased then the mean of the squ
This term is sometimes used for the data collected in those longitudinal studies in which more than the single response variable is recorded for each subject on each occasion. For
The model for data containing continuous and categorical variables both.The categorical data are summarized by the contingency table and their marginal distribution, 182by the mult
Conditional probability : The probability that an event occurs given the outcome of other event. Generally written, Pr(A|B). For instance, the probability of a person being color b
stationary time series
Tree is the term from the branch of the mathematics which known as the graph theory, used to describe any set of the straight-line segments joining the pairs of points in some pro
Ignorability : The missing data mechanism is said to be ignorable for likelihood inference if (1) the joint likelihood for the responses of the interest and missing data indicators
Briefly explain the importance of forecasting for managers?
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Huffman code is used to compress data file, where the data is represented as a sequence of characters. Huffman's greedy algorithm uses a table giving how often each character occur
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