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differentiate, Advanced Statistics
historigrams and histogram
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Markov Model, How to estimate MLE for statistical anslysis using Markov Mod...
How to estimate MLE for statistical anslysis using Markov Model?
Dummy variable, Discuss the use of dummy variables in both multiple linear ...
Discuss the use of dummy variables in both multiple linear regression and non-linear regression. Give examples if possible
SCATTER DIAGRAM, MEANING ,IMPORTANCE AND RELEAVANCE OF SCATTER DIAGRAM
MEANING ,IMPORTANCE AND RELEAVANCE OF SCATTER DIAGRAM
Command-line options, Command-Line options Compression: C++: ./comp...
Command-Line options Compression: C++: ./compress -f myfile.txt [-o myfile.hzip -s Java: sh compress.sh -f myfile.txt [-o myfile.hzip -s] Decompression:
Define matching coefficient, Matching coefficient is a similarity coeffici...
Matching coefficient is a similarity coefficient for data consisting of the number of binary variables which is often used in cluster analysis. It can be given as follows he
General location model, The model for data containing continuous and catego...
The model for data containing continuous and categorical variables both.The categorical data are summarized by the contingency table and their marginal distribution, 182by the mult
Normal distribution, Your first task is to realize two additional data gene...
Your first task is to realize two additional data generation functions. Firstly, extend the system to generate random integral numbers based on normal distribution. You need to stu
Hanging rootogram, Hanging rootogram is he diagram comparing the observe...
Hanging rootogram is he diagram comparing the observed rootogram with the ?tted curve, in which dissimilarities between the two are displayed in relation to the horizontal axis,
Non-randomized clinical trial, Non-randomized clinical trial is the clinic...
Non-randomized clinical trial is the clinical trial in which the series of consecutive patients receive a new treatment and those which respond (according to some of the pre-defin
Ecme algorithm, The Expectation/Conditional Maximization Either algorithm w...
The Expectation/Conditional Maximization Either algorithm which is the generalization of ECM algorithm attained by replacing some of the CM-steps of ECM which maximize the constrai
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