Mar 16, 2017 · I have a question in which it asks to verify whether if the Uniform distribution ($ {\rm Uniform} (a,b)$) is normalized. For one, what does it mean for any distribution to be normalized? And …

At work we were discussing this as my boss has never heard of normalization. In Linear Algebra, Normalization seems to refer to the dividing of a vector by its length. And in statistics, Standardiz...

I'm doing principal component analysis on my dataset and my professor told me that I should normalize the data before doing the analysis. Why? What would happen If I did PCA without normalization? ...

Jan 9, 2017 · I would like to evaluate the predictive performance of a statistical model using Normalized Root Mean Square Error (NRMSE = RMSE/mean (observed)). However, the mean ...

Mar 16, 2016 · Under what circumstances should the data be normalized/standardized when building a regression model. When i asked this question to a stats major, he gave me an ambiguous answer …

Sep 29, 2018 · The data is normalised (values between -1 and 1) and some of the features have binary values (0,1). My task is to predict the values for a specific column/label against the rest of the …

Jul 13, 2020 · The longer the time span, the lower are the calculated rates of change; and the shorter the time span, the higher are the calculated rates of change. So rates of change are still not …

It's less that the standard deviation is sensitive to scale, more that the standard deviation is a measure of the scale.

Feb 9, 2015 · Distribution of "normalised" Gaussian random variables Ask Question Asked 11 years ago Modified 8 years, 3 months ago

Oct 3, 2022 · I am considering using normalised likelihood instead of likelihood (i.e. $1/N\cdot \text {likelihood}$). How does this (and sample size in general) affect BIC/AIC and model inference …