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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.
Independent component analysis (ICA) is the technique for analyzing the complex measured quantities thought to be mixtures of other more fundamental quantities, into their fundamen
Help on my test preparation . .
L'Abbe ´ plot is often used in the meta-analysis of the clinical trials where the result is the binary response of it. The event risk (number of events/number of the patients in a
A unified approach to all problems of prediction, estimation, and hypothesis testing. It is based on concept of the decision function, which tells the performer of experiment how t
Mean-range plot is the graphical tool or device useful in selecting a transformation in the time series analysis. The range is plotted against the mean for each of the seasona
1) Consider an antenna with a pattern: G(θ,φ) = sinn(θ/θ0) cos(θ/θ0) where θ0 = Π/1.5 (a) What is the 3-dB bandwidth? (b) What is the 10-dB beam width? (c) What is t
#explanation of methods of collection of data..
difference between histogram and historigram
The functions of the data and the parameters of interest which can be brought in use to conduct inference about the parameters when full distribution of the observations is unknown
properties of chebyshevs lemma
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