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What are limitations of correlation and regression? What are the three limitations of correlation and regression? Because although 2 variables may be associated with each…
What is t-distribution and its application? It is a type of normal distribution used for smaller sample sizes, where the variance in the data is…
What is normalized symbol? I have seen normalized quantities expressed by adding a twiddle (tilde) over the character (as in ˜A=A/A0), but I this notation…
How do you find variance using MGF? 9.4 – Moment Generating Functions We can use the knowledge that M ′ ( 0 ) = E…
Can a Poisson distribution be Normal? Poisson(100) distribution can be thought of as the sum of 100 independent Poisson(1) variables and hence may be considered…
Does bootstrapping reduce overfitting? Bootstrap aggregating, also called bagging (from bootstrap aggregating), is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy…
Is text data linearly separable? Most text categorization problems are linearly separable. Why is text data linearly separable? The higher the dimensionality, the easier it…
What is the importance of validity in questionnaire development? Validity is important because it determines what survey questions to use, and helps ensure that researchers…
How to cluster a matrix of binary features? Clustering a binary matrix Ask Question Asked7 years, 5 months ago Active6 years, 1 month ago Viewed24k…
What is discrete choice testing? A discrete choice experiment (DCE) is a quantitative technique for eliciting individual preferences. It allows researchers to uncover how individuals…