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  2. Normalization (statistics) - Wikipedia

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

    In the simplest cases, normalization of ratings means adjusting values measured on different scales to a notionally common scale, often prior to averaging. In more complicated cases, normalization may refer to more sophisticated adjustments where the intention is to bring the entire probability distributions of adjusted values into alignment.

  3. Quantile normalization - Wikipedia

    en.wikipedia.org/wiki/Quantile_normalization

    In statistics, quantile normalization is a technique for making two distributions identical in statistical properties. To quantile-normalize a test distribution to a reference distribution of the same length, sort the test distribution and sort the reference distribution.

  4. Counts per minute - Wikipedia

    en.wikipedia.org/wiki/Counts_per_minute

    Disintegrations per minute (dpm) and disintegrations per second (dps) are measures of the activity of the source of radioactivity. The SI unit of radioactivity, the becquerel (Bq), is equivalent to one disintegration per second. This unit should not be confused with cps, which is the number of counts received by an instrument from the source.

  5. Normalizing constant - Wikipedia

    en.wikipedia.org/wiki/Normalizing_constant

    If we start from the simple Gaussian function = /, (,) we have the corresponding Gaussian integral = / =,. Now if we use the latter's reciprocal value as a normalizing constant for the former, defining a function () as = = / so that its integral is unit = / = then the function () is a probability density function. [3]

  6. Normalized frequency (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Normalized_frequency...

    A typical choice of characteristic frequency is the sampling rate that is used to create the digital signal from a continuous one.The normalized quantity, ′ =, has the unit cycle per sample regardless of whether the original signal is a function of time or distance.

  7. Kernel density estimation - Wikipedia

    en.wikipedia.org/wiki/Kernel_density_estimation

    Kernel density estimation of 100 normally distributed random numbers using different smoothing bandwidths.. In statistics, kernel density estimation (KDE) is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method to estimate the probability density function of a random variable based on kernels as weights.

  8. Donald Trump was sentenced, but he already has said he will ...

    www.aol.com/news/donald-trump-sentenced-already...

    President-elect Donald Trump was sentenced Friday in his New York criminal hush money case. But he has already pledged to appeal.

  9. Useful conversions and formulas for air dispersion modeling

    en.wikipedia.org/wiki/Useful_conversions_and...

    A normal cubic meter (Nm 3) is the metric expression of gas volume at standard conditions and it is usually (but not always) defined as being measured at 0 °C and 1 atmosphere of pressure. A standard cubic foot (scf) is the USA expression of gas volume at standard conditions and it is often ( but not always ) defined as being measured at 60 ...