Questions tagged [box-cox-transformation]

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Do I need to backtransform the estimates of a model produced with the mhurdle package using box-cox normal distribution?

I am currently running a double hurdle model with the R command "mhurdle". My data is not normally distributed and I am using the box cox normal distribution on because that yields the ...
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36 views

Transforming dependent and independent variables with different techniques

I am learning how to transform and standardize data for building more precise models. I did not find any information if it is legit to transform independent variables with one technique (for instance, ...
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Box-Cox data transformation to enable linear regression

I am performing multiple linear regression to predict a score (dependent variable) from multiple categorical variables. My dependent variable has skewed distribution with a large number of zero values ...
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54 views

Why skewness is not being corrected by BoxCox transformation

I have 2 variables which I want to put as predictor (independent) variables in logistic regression. However, both on them are highly skewed (one on left and other on right). Also, both variables are ...
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Box-Cox Transformation for predictor variables in R

I have a data with 5 predictor variables. The question asks me to predict a box-cox transformation for the independent variables, in R. I know how box-cox transformation works for response variable, ...
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30 views

generate a skewed distribution within a range that should become normal after a power transformation [closed]

I'd like to generate a S=sequence of numbers within a range min..max (or mean/sd) that is not normal, so Shapiro-Wilk Test would fail it. If I take log(S), it should be a normal distribution. How can ...
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Box-Cox vs GLM for skewed non homoskedastic data

I need to do a regression on a variable Y that is skewed right (non normal) and heteroskedastic and therefore violates two assumptions of the normal linear model. The data is non negative (some 0 ...
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459 views

Intuition behind Box-Cox transform

For features that are heavily skewed, the Transformation technique is useful to stabilize variance, make the data more normal distribution-like, improve the validity of measures of association. I am ...