Search results
Results From The WOW.Com Content Network
This is the most widely used IFC format, having the advantage of compact size yet readable text. IFC-XML is an XML format defined by ISO 10303-28 ("STEP-XML"), having file extension ".ifcXML". This format is suitable for interoperability with XML tools and exchanging partial building models.
Lot quality assurance sampling (LQAS) is a random sampling methodology, originally developed in the 1920s [1] as a method of quality control in industrial production. Compared to similar sampling techniques like stratified and cluster sampling, LQAS provides less information but often requires substantially smaller sample sizes.
TOFD – time of first data sample (on seismic trace [citation needed]) TOFS – time of first surface sample (on seismic trace) TOH – trip out of hole; TOOH – trip out of hole; TOL – top of liner; TOL _ Top of Lead Cement; TOP - Top of Pipe; TORAN – torque and drag analysis; TOT – Top of Tail Cement
Fisher's exact test (also Fisher-Irwin test) is a statistical significance test used in the analysis of contingency tables. [ 1 ] [ 2 ] [ 3 ] Although in practice it is employed when sample sizes are small, it is valid for all sample sizes.
The stress intensity factor at the crack tip of a compact tension specimen is [4] = [() / / + / / + /] where is the applied load, is the thickness of the specimen, is the crack length, and is the effective width of the specimen being the distance between the centreline of the holes and the backface of the coupon.
A common variation on the IFC structure is to replace the leading ISO 3166-1 alpha-2 letters with their numeric equivalents. The publisher's code is then prefixed with leading zeros and the dot is excluded to create a 13 digit code. This allows the IFC to be used as a unique numeric code for UPC-A barcodes or other numeric systems.
The value q s is the sample's test statistic. (The notation | x | means the absolute value of x; the magnitude of x with the sign set to +, regardless of the original sign of x.) This q s test statistic can then be compared to a q value for the chosen significance level α from a table of the studentized range distribution.
In statistics, Dunnett's test is a multiple comparison procedure [1] developed by Canadian statistician Charles Dunnett [2] to compare each of a number of treatments with a single control. [ 3 ] [ 4 ] Multiple comparisons to a control are also referred to as many-to-one comparisons.