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  • February 7, 2019Helpful tips

    How is the covariate balancing propensity score used?

    How is the covariate balancing propensity score used? We introduce covariate balancing propensity score (CBPS) methodology, which models treatment assignment while optimizing the covariate balance.The…

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  • February 7, 2019Contributing

    What is Batchnorm in CNN?

    What is Batchnorm in CNN? Batch normalization is a layer that allows every layer of the network to do learning more independently. It is used…

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  • February 7, 2019Contributing

    How do you find the parameter of a lognormal distribution?

    How do you find the parameter of a lognormal distribution? Lognormal distribution formulas Mean of the lognormal distribution: exp(μ + σ² / 2) Median of…

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  • February 7, 2019Blog

    Is 0 considered an outlier?

    Is 0 considered an outlier? Zero values that are true are usually not an outlier if the range of values falls in e.g. [0,1], [0,2]…

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  • February 7, 2019Blog

    Why is standard deviation range 4?

    Why is standard deviation range 4? The reasoning behind it is that in a normal distribution, about 95% of data points lie within two standard…

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  • February 7, 2019Popular

    What does it mean if my t-test is 0?

    What does it mean if my t-test is 0? A t-value of 0 indicates that the sample results exactly equal the null hypothesis. As the…

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  • February 7, 2019Miscellaneous

    How do you find P-value from Z score?

    How do you find P-value from Z score? If your test statistic is positive, first find the probability that Z is greater than your test…

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  • February 7, 2019Guidelines

    How to do a hypothesis test about two population means?

    How to do a hypothesis test about two population means? Under appropriate conditions, conduct a hypothesis test about a difference between two population means. State…

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  • February 7, 2019Helpful tips

    Are mixture models linear?

    Are mixture models linear? It is a linear combination of normals. A random variable sampled from a simple Gaussian mixture model can be thought of…

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  • February 7, 2019Guidelines

    What is intermediate precision?

    What is intermediate precision? Intermediate precision (sintermediate precision, sRW) (occasionally called within-lab reproducibility) is, differently from the repeatability, the precision obtained within a single laboratory…

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