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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.
A procedure whereby the collection of multiple sample units are combined in their entirety or in part, to form the new sample. One or more succeeding measurements are taken on the
This is extension of the EM algorithm which typically converges more slowly than EM in terms of the iterations but can be much faster in the whole computer time. The general idea o
This is an approach to the modelling of time-frequency surfaces which consists of a Bayesian regularization scheme in which the prior distributions over the time-frequency coeffici
R-squared is regarded as the coefficient of determination and is used to give the proportion of the fluctuation of the variance of one variable to another variable. R-squared also
methods of measuring trend
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
how to describe association between quantitative and categorical variables
Assume that a population is normally distributed with a mean of 100 and a standard deviation of 15. Would it be unusual for the mean of a sample of 20 to be 115 or more?
i will like to submit my project for you to do on chi-square, ANOVA, and correlation and simple regression. how can we do this?
One of the most exciting areas of mathematics involves the application of statistics to real-world settings to make informed decisions. In this task you will design, implement, and
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