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  • November 14, 2020Contributing

    What are the parameters of Bayesian multilevel regression?

    What are the parameters of Bayesian multilevel regression? Bayesian multilevel regression MCMC iterations = 12,500 Metropolis–Hastings and Gibbs sampling Burn-in = 2,500 MCMC sample size…

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  • November 14, 2020Contributing

    Can you control for covariates in t test?

    Can you control for covariates in t test? By means of t-test you are assessing whether there is a significant difference between two sets of…

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  • November 14, 2020Popular

    How do you rank data for the Kruskal-Wallis test?

    How do you rank data for the Kruskal-Wallis test? Step 1: Sort the data for all groups/samples into ascending order in one combined set. Step…

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  • November 14, 2020Helpful tips

    What is heavy-tailed and light-tailed distribution?

    What is heavy-tailed and light-tailed distribution? Probability distributions that have thinner tails than an exponential distribution are light-tailed distributions. They go to zero much faster…

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  • November 14, 2020Helpful tips

    Is it true to say Bayes theorem states about relation between two conditional probability?

    Is it true to say Bayes theorem states about relation between two conditional probability? Deriving Bayes’ Theorem. Bayes’ theorem centers on relating different conditional probabilities.…

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  • November 14, 2020Popular

    What is the probability of flipping heads 3 times?

    What is the probability of flipping heads 3 times? The probability of getting 3 heads when you toss a “fair” coin three times is (as…

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  • November 14, 2020Guidelines

    What is Normalised RMSE?

    What is Normalised RMSE? The Normalized Root Mean Square Error (NRMSE) the RMSE facilitates the comparison between models with different scales. the normalised RMSE (NRMSE)…

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  • November 14, 2020Contributing

    Is there a learning curve effect a learning curve effect?

    Is there a learning curve effect a learning curve effect? Learning Curve measures the relation between increase in per worker productivity (leading to decrease in…

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  • November 14, 2020Blog

    What are the OLS estimators?

    What are the OLS estimators? OLS estimators are linear functions of the values of Y (the dependent variable) which are linearly combined using weights that…

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  • November 14, 2020Popular

    What math do I need for deep learning?

    What math do I need for deep learning? Also, you don’t need to be Math wizards to be deep learning practitioners. You just need to…

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