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  • November 15, 2020Guidelines

    How to fitting a GBM based regression model in R?

    How to fitting a GBM based regression model in R? I am fitting a GBM based regression model in R with a Gaussian loss function.…

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  • November 15, 2020Contributing

    How do you calculate likelihood ratio in forensics?

    How do you calculate likelihood ratio in forensics? The likelihood ratio is the probability under hypothesis (1) that the suspect profile and the evidence-sample profile…

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  • November 15, 2020Miscellaneous

    Can a dummy variable be a dependent variable in regression?

    Can a dummy variable be a dependent variable in regression? In earlier chapters, we have created and interpreted dummy independent variables in regressions. This kind…

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  • November 15, 2020Miscellaneous

    What are the measures that can be used to determine the fit of a model?

    What are the measures that can be used to determine the fit of a model? Three statistics are used in Ordinary Least Squares (OLS) regression…

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  • November 15, 2020Guidelines

    What is the training mean squared error?

    What is the training mean squared error? Training Error versus Test Error The definition simply states that the Mean Squared Error is the average of…

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  • November 15, 2020Blog

    What is the significance of a straight line on a log-log plot?

    What is the significance of a straight line on a log-log plot? The slope of a log-log plot gives the power of the relationship, and…

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  • November 15, 2020Miscellaneous

    Does Ridge Regression require standardization?

    Does Ridge Regression require standardization? Variables Standardization in Ridge Regression Variables standardization is the initial procedure in ridge regression. Both the independent and dependent variables…

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  • November 15, 2020Miscellaneous

    When using the chi-square goodness of fit test if the value of the chi-square statistic is large enough we reject the null hypothesis?

    When using the chi-square goodness of fit test if the value of the chi-square statistic is large enough we reject the null hypothesis? The calculated…

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  • November 15, 2020Blog

    Which is better OLS regression or logit regression?

    Which is better OLS regression or logit regression? Sample size: Both logit and probit models require more cases than OLS regression because they use maximum…

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  • November 15, 2020Helpful tips

    What are fixed vs random effects?

    What are fixed vs random effects? Fixed Effects model assumes that the individual specific effect is correlated to the independent variable. Random effects model allows…

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