Moment (mathematics) | Summary statistics

L-moment

In statistics, L-moments are a sequence of statistics used to summarize the shape of a probability distribution. They are linear combinations of order statistics (L-statistics) analogous to conventional moments, and can be used to calculate quantities analogous to standard deviation, skewness and kurtosis, termed the L-scale, L-skewness and L-kurtosis respectively (the L-mean is identical to the conventional mean). Standardised L-moments are called L-moment ratios and are analogous to standardized moments. Just as for conventional moments, a theoretical distribution has a set of population L-moments. Sample L-moments can be defined for a sample from the population, and can be used as estimators of the population L-moments. (Wikipedia).

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From playlist MECHANICAL ENGINEERING 2 - MOMENT OF A FORCE

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From playlist PHYSICS 12 MOMENT OF INERTIA

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Related pages

Moment (mathematics) | Skewness | Continuous uniform distribution | Gamma distribution | Mean | Statistics | Exponential distribution | Finite difference | Laplace distribution | Method of moments (statistics) | Dataplot | Generalized extreme value distribution | L-estimator | Generalized logistic distribution | Student's t-distribution | Standardized moment | Log-normal distribution | Binomial coefficient | Robust statistics | Summary statistics | Extreme value theory | L-statistic | Probability distribution | Normal distribution | Standard deviation | Linear combination | Mean absolute difference | Gumbel distribution | Higher-order statistics | Degrees of freedom (statistics) | Binomial transform | Cauchy distribution | Expected value | Generalized Pareto distribution | Kurtosis | Order statistic | Algorithm | Coefficient of variation | Logistic distribution