Health.Zone Web Search

Search results

1. Results from the Health.Zone Content Network

2. Work sampling - Wikipedia

   en.wikipedia.org/wiki/Work_sampling

   Work sampling is the statistical technique used for determining the proportion of time spent by workers in various defined categories of activity (e.g. setting up a machine, assembling two parts, idle…etc.). [1] It is as important as all other statistical techniques because it permits quick analysis, recognition, and enhancement of job ...

3. Logarithm - Wikipedia

   en.wikipedia.org/wiki/Logarithm

   In mathematics, the logarithm is the inverse function to exponentiation. That means that the logarithm of a number x to the base b is the exponent to which b must be raised to produce x. For example, since 1000 = 103, the logarithm base of 1000 is 3, or log10 (1000) = 3.

4. Log-normal distribution - Wikipedia

   en.wikipedia.org/wiki/Log-normal_distribution

   Log-normal distribution. In probability theory, a log-normal (or lognormal) distribution is a continuous probability distribution of a random variable whose logarithm is normally distributed. Thus, if the random variable X is log-normally distributed, then Y = ln (X) has a normal distribution.

5. Logarithmic mean - Wikipedia

   en.wikipedia.org/wiki/Logarithmic_mean

   Logarithmic mean. Three-dimensional plot showing the values of the logarithmic mean. In mathematics, the logarithmic mean is a function of two non-negative numbers which is equal to their difference divided by the logarithm of their quotient. This calculation is applicable in engineering problems involving heat and mass transfer .

6. Sampling (signal processing) - Wikipedia

   en.wikipedia.org/wiki/Sampling_(signal_processing)

   In signal processing, sampling is the reduction of a continuous-time signal to a discrete-time signal. A common example is the conversion of a sound wave to a sequence of "samples". A sample is a value of the signal at a point in time and/or space; this definition differs from the term's usage in statistics, which refers to a set of such values.

7. Anderson–Darling test - Wikipedia

   en.wikipedia.org/wiki/Anderson–Darling_test

   Anderson–Darling test. The Anderson–Darling test is a statistical test of whether a given sample of data is drawn from a given probability distribution. In its basic form, the test assumes that there are no parameters to be estimated in the distribution being tested, in which case the test and its set of critical values is distribution-free.