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  2. Toxicity characteristic leaching procedure - Wikipedia

    en.wikipedia.org/wiki/Toxicity_characteristic...

    Toxicity characteristic leaching procedure (TCLP) is a soil sample extraction method for chemical analysis employed as an analytical method to simulate leaching through a landfill. The testing methodology is used to determine if a waste is characteristically hazardous, i.e., classified as one of the "D" listed wastes by the U.S. Environmental ...

  3. Maximum acceptable toxicant concentration - Wikipedia

    en.wikipedia.org/wiki/Maximum_Acceptable...

    Standard methods are designed and used widely to maximize precision and accuracy for all toxicity tests. Values derived from toxicity tests such as the MATC are reported to regulatory organizations like the US EPA and Environment Canada so more confident regulations can be designed. [citation needed]

  4. EPA Methods - Wikipedia

    en.wikipedia.org/wiki/EPA_Methods

    The United States Environmental Protection Agency (EPA) maintains and approves test methods, which are approved procedures for measuring the presence and concentration of physical, chemical and biological contaminants; evaluating properties, such as toxic properties, of chemical substances; or measuring the effects of substances under various conditions.

  5. Unbiased estimation of standard deviation - Wikipedia

    en.wikipedia.org/wiki/Unbiased_estimation_of...

    Bias in standard deviation for autocorrelated data. The figure shows the ratio of the estimated standard deviation to its known value (which can be calculated analytically for this digital filter), for several settings of α as a function of sample size n. Changing α alters the variance reduction ratio of the filter, which is known to be

  6. Algorithms for calculating variance - Wikipedia

    en.wikipedia.org/wiki/Algorithms_for_calculating...

    This algorithm can easily be adapted to compute the variance of a finite population: simply divide by n instead of n − 1 on the last line.. Because SumSq and (Sum×Sum)/n can be very similar numbers, cancellation can lead to the precision of the result to be much less than the inherent precision of the floating-point arithmetic used to perform the computation.

  7. Strictly standardized mean difference - Wikipedia

    en.wikipedia.org/wiki/Strictly_standardized_mean...

    It is the mean divided by the standard deviation of a difference between two random values each from one of two groups. It was initially proposed for quality control [ 1 ] and hit selection [ 2 ] in high-throughput screening (HTS) and has become a statistical parameter measuring effect sizes for the comparison of any two groups with random values.

  8. Experimental uncertainty analysis - Wikipedia

    en.wikipedia.org/wiki/Experimental_uncertainty...

    If, as is often the case, the standard deviation of the estimated g should be needed by itself, this is readily obtained by a simple rearrangement of Eq(18). This standard deviation is usually quoted along with the "point estimate" of the mean value: for the simulation this would be 9.81 ± 0.41 m/s 2.

  9. Atmospheric dispersion modeling - Wikipedia

    en.wikipedia.org/wiki/Atmospheric_dispersion...

    During the late 1960s, the Air Pollution Control Office of the U.S. EPA initiated research projects that would lead to the development of models for the use by urban and transportation planners. [1] A major and significant application of a roadway dispersion model that resulted from such research was applied to the Spadina Expressway of Canada ...