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  • February 25, 2019Blog

    What does negative log-likelihood mean?

    What does negative log-likelihood mean? The negative log-likelihood becomes unhappy at smaller values, where it can reach infinite unhappiness (that’s too sad), and becomes less…

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  • February 25, 2019Blog

    What is the effect of skewed data?

    What is the effect of skewed data? Effects of skewness So in skewed data, the tail region may act as an outlier for the statistical…

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  • February 25, 2019Helpful tips

    How do you interpret a scatter plot in SPSS?

    How do you interpret a scatter plot in SPSS? You interpret a scatterplot by looking for trends in the data as you go from left…

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  • February 25, 2019Helpful tips

    What is the syntax of lm () function?

    What is the syntax of lm () function? The lm() function of R fits linear models. It can carry out regression, and analysis of variance…

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  • February 25, 2019Popular

    What is input shape in deep learning?

    What is input shape in deep learning? The input shape It’s the starting tensor you send to the first hidden layer. This tensor must have…

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  • February 25, 2019Guidelines

    What is smooth spline in R?

    What is smooth spline in R? Smoothing splines are a powerful approach for estimating functional relationships between a predictor X and a response Y. Smoothing…

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  • February 25, 2019Popular

    What does it mean if a distribution is uniform?

    What does it mean if a distribution is uniform? probability distribution In statistics, uniform distribution refers to a type of probability distribution in which all…

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  • February 25, 2019Popular

    What is parametric and non parametric bootstrap?

    What is parametric and non parametric bootstrap? Parametric bootstrapping Whereas nonparametric bootstraps make no assumptions about how your observations are distributed, and resample your original…

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  • February 25, 2019Popular

    What determines the direction of a regression line?

    What determines the direction of a regression line? Any straight line can be represented by an equation of the form Y = bX + a,…

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  • February 25, 2019Popular

    What does a negative constant mean in logistic regression?

    What does a negative constant mean in logistic regression? Jochen Wilhelm. Justus-Liebig-Universität Gießen. The coefficients in a logistic regression are log odds ratios. Negative values…

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