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The probability distribution which is a linear function of the number of component probability distributions. This type of distributions is used to model the populations thought to contain the relatively distinct groups of observations. An early instance of the application of this type of distribution was that of Pearson in the year1894 who applied the following mixture of the two normal distributions to the measurements made on a particular type of crab:
Bartlett decomposition : The expression for the random matrix A which has a Wishart distribution as the product of the triangular matrix and the transpose of it. Letting each of x
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?
The time series for RESI1, HI1 and COOK1 have appeared again with different outlier values even though the 17 outliers found early were removed.
Window variables are the variables measured during the constrained interval of an observation period which is accepted as the proxies for the information over the whole period. Fo
Clinical vs. statistical significance : The distinction among results in terms of their possible clinical importance rather than simply in terms of their statistical importance. Wi
The distribution free or technique which is the analogue of the analysis of variance for the design with two factors. It can be applied to data sets which do not meet the assumptio
Yate s' continuity correction : When the testing for independence in contingency table, a continuous probability distribution, known as chi-squared distribution, is used as the app
PRINCIPLES OF MODELLING IN OR.
A standard IQ test has a mean of 98 and a standard deviation of 16. We want to be 99% certain that we are within 8 IQ points of the true mean. Determine the sample size
ain why the simulated result doesn''t have to be exact as the theoretical calculation
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