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Canonical correlation analysis: A process of analysis for investigating the relationship between the two groups of variables, by ?nding the linear functions of one of the sets of variables which maximally correlate with the linear functions of the variables in the other set. In numerous respects the process can be seen as an extension of multiple regressions to situations including more than a single response variable. Alternatively it can be considered as the analogous to principal components analysis except that the correlation rather than a variance is maximized.
An easy example of where this type of technique or method might be of interest is when the results of tests for, say, reading speed (x1), arithmetical speed (y1), reading power (x2), and arithmetical power (y4), are available from the sample of school children, and the question of interest is whether the reading ability (measured by x1 and x2) or not is related to arithmetical ability (as measured by y1 and y2).
Captures recapture sampling : Another approach to a census for estimating the size of population, which operates by sampling the population number of times, identifying the individ
Q1: The growth in bad debt expense for Aptara Pvt. Ltd. Company over the last 20 years is as follows. 1997 0.11 1998 0.09 1999 0.08 2000 0.08 2001 0.1 2002 0.11 2003 0.12 2004 0.1
Change point problems : Problems with chronologically ordered data collected over the period during which there is known to have been a change in the underlying data generation cou
The Current status data arise in the survival analysis if the observations are limited to the indicators of whether or not the event of interest has happened at the time the sample
Opreation research phase
Classification matrix: A term many times used in discriminant analysis for the matrix summarizing the results and outputs obtained from the derived classi?cation rule, and obtaine
Kalman filter : A recursive procedure which gives an estimate of the signal when only the 'noisy signal' can be observed. The estimate is efficiently constructed by putting the exp
Bayes factor : A summary of evidence for the modelM1 against the another modelM0 provided by the set of data D, which can be used in the model selection. Given by the ratio of post
A study not involving the passing of time. All information is collected at the same time and subjects are contacted only once. Many surveys are of this type. The temporal sequence
The biggest and smallest variate values among the sample of observations. Significant in various regions, for instance flood levels of the river, speed of wind and snowfall.
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