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A building estimator or cost estimator is an individual that quantifies the materials, labor, and equipment needed to complete a construction project. Building cost estimating can concern diverse forms of construction from residential properties to hi-rise and civil works.
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] For example, the sample mean is a commonly used estimator of the population mean. There are point and interval ...
In the construction industry, a quantity surveyor (QS) is a professional with expert knowledge of construction costs and contracting.Qualified professional quantity surveyors can be known as Chartered Surveyors (Members and Fellows of RICS) in the UK and Certified Quantity Surveyors (a designation of the Australian Institute of Quantity Surveyors) in Australia and other countries.
To date, there is not currently a professional qualification or regulatory body for civils estimating within the UK. As a consequence, the learning curve from a trainee estimator to senior estimator could be an undisclosed amount of time and largely falls into the responsibility of the employer and or senior estimator to determine time scale and progression of trainee estimators.
Basis of estimate (BOE) is a tool used in the field of project management by which members of the project team, usually estimators, project managers, or cost analysts, calculate the total cost of the project.
Cost engineering is a field of engineering practice that began in the 1950s (AACE International was founded in 1956). The skills and knowledge areas of cost engineers are similar to those of quantity surveyors.
Bootstrapping is a procedure for estimating the distribution of an estimator by resampling (often with replacement) one's data or a model estimated from the data. [1] Bootstrapping assigns measures of accuracy (bias, variance, confidence intervals, prediction error, etc.) to sample estimates.
In statistics, an estimator is the formal name for the rule by which an estimate is calculated from data, and estimation theory deals with finding estimators with good properties. This process is used in signal processing , for approximating an unobserved signal on the basis of an observed signal containing noise.