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Selamectin, sold under the brand name Revolution, among others, is a topical parasiticide and anthelminthic used on dogs and cats. [2] It treats and prevents infections of heartworms , fleas , ear mites , sarcoptic mange (scabies), and certain types of ticks in dogs, and prevents heartworms, fleas, ear mites, hookworms , and roundworms in cats.
Multipurpose solutions tend to be less expensive. [7] Contacts do not have to be placed in multipurpose solutions for extended intervals, whereas contacts must be left in a hydrogen peroxide solution for hours. The main attraction of multipurpose solutions is that the same solution can clean, rinse, disinfect and store lenses. [8]
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. A cost ...
Cost engineering is "the engineering practice devoted to the management of project cost, involving such activities as estimating, cost control, cost forecasting, investment appraisal and risk analysis". [1] "Cost Engineers budget, plan and monitor investment projects. They seek the optimum balance between cost, quality and time requirements." [2]
In statistics, an estimator is a rule for calculating an estimate of a given quantity based on observed data: thus the rule (the estimator), the quantity of interest (the estimand) and its result (the estimate) are distinguished. [1]
A Allocation of costs is the transfer of costs from one cost item to one or more other cost items. Allowance - a value in an estimate to cover the cost of known but not yet fully defined work. As-sold estimate - the estimate which matches the agreed items and price for the project scope. B Basis of estimate (BOE) - a document which describes the scope basis, pricing basis, methods ...
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A Bayes estimator derived through the empirical Bayes method is called an empirical Bayes estimator. Empirical Bayes methods enable the use of auxiliary empirical data, from observations of related parameters, in the development of a Bayes estimator. This is done under the assumption that the estimated parameters are obtained from a common prior.