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  2. Weighted arithmetic mean - Wikipedia

    en.wikipedia.org/wiki/Weighted_arithmetic_mean

    However, this does not account for the difference in number of students in each class (20 versus 30); hence the value of 85 does not reflect the average student grade (independent of class). The average student grade can be obtained by averaging all the grades, without regard to classes (add all the grades up and divide by the total number of ...

  3. Multiplicative weight update method - Wikipedia

    en.wikipedia.org/wiki/Multiplicative_Weight...

    Compared to weighted algorithm, this randomness halved the number of mistakes the algorithm is going to make. [9] However, it is important to note that in some research, people define η = 1 / 2 {\displaystyle \eta =1/2} in weighted majority algorithm and allow 0 ≤ η ≤ 1 {\displaystyle 0\leq \eta \leq 1} in randomized weighted majority ...

  4. Ordered weighted averaging - Wikipedia

    en.wikipedia.org/wiki/Ordered_weighted_averaging

    In applied mathematics, specifically in fuzzy logic, the ordered weighted averaging (OWA) operators provide a parameterized class of mean type aggregation operators. They were introduced by Ronald R. Yager. [1] [2] Many notable mean operators such as the max, arithmetic average, median and min, are members of

  5. Arithmetic mean - Wikipedia

    en.wikipedia.org/wiki/Arithmetic_mean

    A weighted average, or weighted mean, is an average in which some data points count more heavily than others in that they are given more weight in the calculation. [6] For example, the arithmetic mean of 3 {\displaystyle 3} and 5 {\displaystyle 5} is 3 + 5 2 = 4 {\displaystyle {\frac {3+5}{2}}=4} , or equivalently 3 ⋅ 1 2 + 5 ⋅ 1 2 = 4 ...

  6. Linear least squares - Wikipedia

    en.wikipedia.org/wiki/Linear_least_squares

    Mathematically, linear least squares is the problem of approximately solving an overdetermined system of linear equations A x = b, where b is not an element of the column space of the matrix A. The approximate solution is realized as an exact solution to A x = b', where b' is the projection of b onto the column space of A. The best ...

  7. Sample mean and covariance - Wikipedia

    en.wikipedia.org/wiki/Sample_mean_and_covariance

    These observations can be arranged into N column vectors, each with K entries, with the K×1 column vector giving the i-th observations of all variables being denoted (i=1,...,N). The sample mean vector x ¯ {\displaystyle \mathbf {\bar {x}} } is a column vector whose j -th element x ¯ j {\displaystyle {\bar {x}}_{j}} is the average value of ...

  8. Can cold weather make you sick? Your grandma wasn't entirely ...

    www.aol.com/cold-weather-sick-grandma-wasnt...

    What can we do to protect ourselves? Rajendram recommends people talk with their physician about vaccines during checkups. He suggests everyone ages 6 months and older get the flu shot.

  9. Least absolute deviations - Wikipedia

    en.wikipedia.org/wiki/Least_absolute_deviations

    Least absolute deviations (LAD), also known as least absolute errors (LAE), least absolute residuals (LAR), or least absolute values (LAV), is a statistical optimality criterion and a statistical optimization technique based on minimizing the sum of absolute deviations (also sum of absolute residuals or sum of absolute errors) or the L 1 norm of such values.