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Profile plots is a technique of representing the multivariate data graphically. Each of the observation is represented by a diagram comprising of a sequence of equispaced vertical spikes, with each spike representing one of variables. The length of the given spike is proportional to the magnitude of the variable it represents relative to the maximum magnitude of the variable across all observations available. As an instance, consider the data below depicting the level of air pollution in four cities in the United States along with a number of other climatic and human ecologic variables. The profile plots representing these kind of data are shown in the Figure (a).
Chicago is identified as being very different from other three cities. Another instance of the profile plot is shown in the Figure (b); here the weight profiles over the time for rats in three groups are all given on the same diagram.
SO2 = Sulphur dioxide content of air (microgram per cubic metre)
Temp = Average annual temperature (F)
Manuf = Number of manufacturing enterprises employing 20 or more workers
Pop = Population size
Wind = The average annual wind speed (miles per hour)
Precip = Average annual precipitation (miles per hour)
Days = Average number of days with precipitation per year
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
Poisson regression In case of Poisson regression we use ηi = g(µi) = log(µi) and a variance V ar(Yi) = φµi. The case φ = 1 corresponds to standard Poisson model. Poisson regre
Cluster sampling : A method or technique of sampling in which the members of the population are arranged in groups (called as 'clusters'). A number of clusters are selected at the
The term which is used in the industrial experimentation, where there is commonly a large set of candidate factors believed to have the possible significant influence on the respon
Range is the difference between the largest and smallest observations in the data set. Commonly used as an easy-to-calculate measure of the dispersion in the set of observations b
Compound symmetry : The property possessed by the variance-covariance matrix of the set of multivariate data when its chief diagonal elements are equal to each other, and in additi
Goodmanand kruskal measures of association is the measures of associations which are useful in the situation where two categorical variables cannot be supposed to be derived from
Advantages and disadvantages of Integrated Economic Statistics
I want to get the quotation of my on-line assignment its based on 1000 words. lecturer provide the video links and we have to watch the videos and highlights the key points also de
It is the diagram used to display the values graphically in a frequency distribution. The frequencies are graphed as an ordinate against the class mid-points as abscissae. The p
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