Parametric Estimating-  Cost/duration prediction using statistical relationships.

Definition

Parametric estimating is a quantitative technique used in project management to predict costs, durations, or resource requirements based on historical data and statistical relationships. This method relies on mathematical models and unit-based calculations, making it more accurate than rough estimates but less detailed than bottom-up estimating.

For example, if past data indicates that constructing one kilometer of road costs $500,000, then a 10-kilometer project can be estimated at $5,000,000 using parametric estimating. This approach is commonly used in construction, manufacturing, and software development for cost and time forecasting.

Advantages

More Accurate Than Analogous Estimating – Uses real data rather than subjective judgment.
Scalable & Repeatable – Can be applied to various projects with similar characteristics.
Time-Efficient – Faster than detailed bottom-up estimating.
Helps Standardize Estimation Process – Creates consistency across projects.

Disadvantages

Requires High-Quality Historical Data – If past data is unreliable, estimates may be inaccurate.
Not Suitable for Unique or Complex Projects – Works best for repetitive tasks, not one-time innovations.
May Not Account for Unexpected Variables – External factors like inflation or market fluctuations can affect accuracy.

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