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If this is not motivation enough, a USCG rotary-wing aircraft costs $9–14K per hour and a USCG cutter costs $3–15K per hour to operate. Reducing the time an aircraft is airborne or a cutter is in a search area can considerably reduce taxpayer costs as well as save lives and property.
Inverse probability weighting is a statistical technique for estimating quantities related to a population other than the one from which the data was collected. Study designs with a disparate sampling population and population of target inference (target population) are common in application. [1] There may be prohibitive factors barring ...
Mark and recapture. Mark and recapture is a method commonly used in ecology to estimate an animal population 's size where it is impractical to count every individual. [1] A portion of the population is captured, marked, and released. Later, another portion will be captured and the number of marked individuals within the sample is counted.
The ratio estimates are asymmetrical and symmetrical tests such as the t test should not be used to generate confidence intervals. The bias is of the order O (1/ n) (see big O notation) so as the sample size ( n) increases, the bias will asymptotically approach 0. Therefore, the estimator is approximately unbiased for large sample sizes.
A cost estimate is the approximation of the cost of a program, project, or operation. The cost estimate is the product of the cost estimating process. The cost estimate has a single total value and may have identifiable component values. A problem with a cost overrun can be avoided with a credible, reliable, and accurate cost estimate.
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A self-contained self-rescue device, SCSR, self-contained self-rescuer, or air pack is a portable oxygen source for providing breathable air when the surrounding atmosphere lacks oxygen or is contaminated with toxic gases, e.g. carbon monoxide . Self-rescuers are intended for use in environments such as coal mines where there is a risk of fire ...
COCOMO. The Constructive Cost Model ( COCOMO) is a procedural software cost estimation model developed by Barry W. Boehm. The model parameters are derived from fitting a regression formula using data from historical projects (63 projects for COCOMO 81 and 163 projects for COCOMO II).