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If you choose you want a symmetric transformation of optimistic and damaging values, you can use the log-modulus transformation, which handles good and adverse values at the same time. Nonetheless, parameter estimates for your reworked info don't have a simple interpretation.
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Thank you for your personal work on this website page, it is rather helpful. I'm forecasting inflation in Eviews seven, and a few of my relative variables are unfavorable rather than Ordinarily distributed.
On the other hand, I would like to grasp which ones to log and no matter whether to employ all-natural or popular foundation 10 logarithm, and why I should use 1 as opposed to another. Thank you very much.
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My concern is: do I need to subtract one.0 within the geometric pop over here imply and each CI to correctly set it again in the initial scale? Or is Another adjustment vital? I grew to become concerned this tactic was not sufficient when I additional other arbitrary values (0.001, 2, and so on) ahead of log transformation and (following exponentiation) was unable to adjust the numbers to the same values by subtracting out the regular additional in the linear transformation. Superb website. Many thanks for your time and effort.
I have the similar problem which i experienced so as to add a constant into the model prior to the log log transformation. My info are GDP and BOT. now detranforming designed me stucked. how can i detransform the consistent? is it ought to be done before detransforming log log ?
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