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2. Bootstrap (front-end framework) - Wikipedia

   en.wikipedia.org/wiki/Bootstrap_(front-end...

   Bootstrap (formerly Twitter Bootstrap) is a free and open-source CSS framework directed at responsive, mobile-first front-end web development. It contains HTML, CSS and (optionally) JavaScript -based design templates for typography, forms, buttons, navigation, and other interface components. As of May 2023, Bootstrap is the 17th most starred ...

3. Homoscedasticity and heteroscedasticity - Wikipedia

   en.wikipedia.org/wiki/Homoscedasticity_and...

   The null hypothesis of this chi-squared test is homoscedasticity, and the alternative hypothesis would indicate heteroscedasticity. Since the Breusch–Pagan test is sensitive to departures from normality or small sample sizes, the Koenker–Bassett or 'generalized Breusch–Pagan' test is commonly used instead.

4. Resampling (statistics) - Wikipedia

   en.wikipedia.org/wiki/Resampling_(statistics)

   The best example of the plug-in principle, the bootstrapping method. Bootstrapping is a statistical method for estimating the sampling distribution of an estimator by sampling with replacement from the original sample, most often with the purpose of deriving robust estimates of standard errors and confidence intervals of a population parameter like a mean, median, proportion, odds ratio ...

5. Bootstrapping (statistics) - Wikipedia

   en.wikipedia.org/wiki/Bootstrapping_(statistics)

   Bootstrapping is any test or metric that uses random sampling with replacement (e.g. mimicking the sampling process), and falls under the broader class of resampling methods. Bootstrapping assigns measures of accuracy ( bias, variance, confidence intervals, prediction error, etc.) to sample estimates.

6. Bootstrapping populations - Wikipedia

   en.wikipedia.org/wiki/Bootstrapping_populations

   Bootstrapping populations. Bootstrapping populations in statistics and mathematics starts with a sample observed from a random variable. When X has a given distribution law with a set of non fixed parameters, we denote with a vector , a parametric inference problem consists of computing suitable values – call them estimates – of these ...

7. Ayesha Nurdjaja makes 2 egg-cellent recipes for Mother's Day ...

   www.aol.com/news/ayesha-nurdjaja-makes-2-egg...

   Chef Ayesha Nurdjaja is back in the TODAY kitchen to make two of her favorite elegant egg recipes for mom's special day. She shows us how to make a savory potato and onion frittata and a spring ...