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The harmonic mean ( H ) of the lognormal distribution of a random variable X is [ 17 ] where μ and σ2 are the parameters of the distribution, i.e. the mean and variance of the distribution of the natural logarithm of X. The harmonic and arithmetic means of the distribution are related by.
In mathematics, the n -th harmonic number is the sum of the reciprocals of the first n natural numbers: [1] Starting from n = 1, the sequence of harmonic numbers begins: Harmonic numbers are related to the harmonic mean in that the n -th harmonic number is also n times the reciprocal of the harmonic mean of the first n positive integers.
Definition and divergence. The harmonic series is the infinite series in which the terms are all of the positive unit fractions. It is a divergent series: as more terms of the series are included in partial sums of the series, the values of these partial sums grow arbitrarily large, beyond any finite limit.
The contraharmonic mean is higher in value than the arithmetic mean and also higher than the root mean square: () where x is a list of values, H is the harmonic mean, G is geometric mean, L is the logarithmic mean, A is the arithmetic mean, R is the root mean square and C is the contraharmonic mean.
A price index aggregates various combinations of base period prices ( ), later period prices ( ), base period quantities ( ), and later period quantities ( ). Price index numbers are usually defined either in terms of (actual or hypothetical) expenditures (expenditure = price * quantity) or as different weighted averages of price relatives ( ).
The harmonic mean captures the fuel economy of driving each car in the fleet for the same number of miles, while the arithmetic mean captures the fuel economy of driving each car using the same amount of gas (i.e., the 13 mpg vehicle would travel 13 miles (21 km) with one gallon while the 100 mpg vehicle would travel 100 miles).
In probability theory and statistics, the beta distribution is a family of continuous probability distributions defined on the interval [0, 1] or (0, 1) in terms of two positive parameters, denoted by alpha (α) and beta (β), that appear as exponents of the variable and its complement to 1, respectively, and control the shape of the distribution.
In statistics, the weighted geometric mean is a generalization of the geometric mean using the weighted arithmetic mean. Given a sample and weights , it is calculated as: [1] The second form above illustrates that the logarithm of the geometric mean is the weighted arithmetic mean of the logarithms of the individual values. If all the weights ...
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