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The MLE wouldn't be relevant, Consequently losing normality-dependent assurance intervals to the parameter estimates, although the OLS idea however retains and thus the point estimates on their own are BLUE / unbiased?
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SAS was designed round the similar time its rival statistical software package SPSS was made far too, amongst the calendar year 1966 and 1976 by North Carolina state College. The latest Model of SAS came in 2009 with a point and click on ingredient that produced it fairly uncomplicated for users without prior statistical information.
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You have not provided Considerably details, but very little you say helps make me believe that a log transformation is important. Just make use of the Uncooked details in whichever Assessment that you are carrying out. When you have questions, present the data to someone in your business that may be statistically savvy.
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I have an issue with normality check once again. To be able to make certain that I can use parametric exam, I want to make sure that my residual distribution is usual. Nevertheless, After i refer to the value of skewness and kurtosis with the residual, it is actually -0.
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what if a variable has destructive values and favourable each and log is taken taking into consideration absolute values? what can be the result.