Asymptotic theory (statistics) | Estimation theory | Nonparametric statistics | U-statistics
In statistical theory, a U-statistic is a class of statistics that is especially important in estimation theory; the letter "U" stands for unbiased. In elementary statistics, U-statistics arise naturally in producing minimum-variance unbiased estimators. The theory of U-statistics allows a minimum-variance unbiased estimator to be derived from each unbiased estimator of an estimable parameter (alternatively, statistical functional) for large classes of probability distributions. An estimable parameter is a measurable function of the population's cumulative probability distribution: For example, for every probability distribution, the population median is an estimable parameter. The theory of U-statistics applies to general classes of probability distributions. (Wikipedia).
This video explains how to determine mean, median and mode. It also provided examples. http://mathispower4u.yolasite.com/
From playlist Statistics: Describing Data
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From playlist Unit 2: Normal Distributions
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Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Find x given the z-score, sample mean, and sample standard deviation
From playlist Statistics
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This stats video tutorial explains the difference between a statistic and a parameter. It also discusses the difference between the population and sample. It includes examples such as the sample mean, population mean, sample standard deviation, population standard deviation, sample propo
From playlist Statistics
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From playlist Statistics
Computing z-scores(standard scores) and comparing them
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Computing z-scores(standard scores) and comparing them
From playlist Statistics
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From playlist Statistical Rethinking 2022
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From playlist Statistical Rethinking 2023
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From playlist Jamovi 2022 Tutorials
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More resources available at www.misterwootube.com
From playlist The Normal Distribution