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  • December 1, 2020Helpful tips

    Is confounding the same as multicollinearity?

    Is confounding the same as multicollinearity? 1 Answer. Your understanding of confounding and collinearity is correct. Note that in many contexts collinearity really refers to…

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  • December 1, 2020Contributing

    Does noise affect PCA?

    Does noise affect PCA? Principal Component Analysis (PCA) is used to a) denoise and to b) reduce dimensionality. It does not eliminate noise, but it…

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  • December 1, 2020Guidelines

    When to use stepwise regression in larger data sets?

    When to use stepwise regression in larger data sets? The number of predictors in this data set is not large. The stepwise procedure is typically…

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  • December 1, 2020Miscellaneous

    When is classification accuracy is not enough information?

    When is classification accuracy is not enough information? Classification accuracy alone is typically not enough information to make this decision. In this post, we will…

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  • December 1, 2020Miscellaneous

    How do you determine if a sequence has a limit?

    How do you determine if a sequence has a limit? A real number L L L is the limit of the sequence x n x_n…

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  • December 1, 2020Contributing

    What is the confidence interval for 95% significant difference?

    What is the confidence interval for 95% significant difference? Goldstein and Healy (1995) find that for barely non-overlapping intervals to represent a 95% significant difference…

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  • December 1, 2020Miscellaneous

    What is p-value in ARIMA model?

    What is p-value in ARIMA model? ARIMA models are typically expressed like “ARIMA(p,d,q)”, with the three terms p, d, and q defined as follows: p…

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  • December 1, 2020Helpful tips

    How do you know if mean are significantly different?

    How do you know if mean are significantly different? Often, researchers choose significance levels equal to 0.01, 0.05, or 0.10; but any value between 0…

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  • December 1, 2020Blog

    What kind of distribution does F have?

    What kind of distribution does F have? skewed distribution The F-distribution is a skewed distribution of probabilities similar to a chi-squared distribution. But where the…

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  • December 1, 2020Contributing

    What are latent variables in gmm?

    What are latent variables in gmm? Gaussian mixture model MLE can often be simplified by introducing latent variables. A latent variable model makes the assumption…

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