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Grade of membership model: This is the general distribution free method for the clustering of the multivariate data in which only categorical variables are included. The model assumes that the individuals can exhibit characteristics of more than one cluster, and that the state of the individual can be represented by the set or group of numerical quantities, each one equivalent to one of the clusters, which measure the 'strength' or grade of the membership of the individual for the cluster. Evaluation of these quantities and the other parameters in the model is undertaken by the maximum likelihood estimation.
In a mathematics examination the average grade was 82 and the standard deviation was 5. all students with grade from 88 to 94 received grade of B. if the grade are approximately no
A subject who withdraws from the study for whatever reason, adverse side effects, noncompliance, moving away from the district, etc. In number of cases the reason may not be known.
Jonckheere Terpstra test is the test for detecting particular types of departures from the independence in a contingency table in which both the row and column categories contain
calculate absorbance value from concentration
Tree is the term from the branch of the mathematics which known as the graph theory, used to describe any set of the straight-line segments joining the pairs of points in some pro
calculate the mean yearly value using the average unemployment rate by month
You and your team have been hired as strategic consultants by the hugely successful retailer known as “Cutie Pie”. The company sells many products, although one product in particul
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
Ask questT-TEST? ion #Minimum 100 words accepted#
Blinding : A procedure used in clinical trials to get rid of the possible bias which might be introduced if the patient and/or the doctor knew which treatment the patient is receiv
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