Hyfran Plus

Frequently used for extreme value analysis.

The story began with a fundamental problem in civil engineering: how do you build a bridge or a dam if you don't know how big the "100-year flood" will be? Engineers needed a way to fit statistical distributions to historical water-flow data to estimate the probability of rare, catastrophic events. The Development of Hyfran Initially, the software was known simply as

Hyfran Plus is not a one-size-fits-all product; it is a solution for specific, high-stakes scenarios.

The licensing model for HYFRAN-PLUS is designed to protect the software while providing reasonable flexibility for legitimate users. Important terms include: hyfran plus

: Hyfran Plus at 1.2% by cement weight + viscosity modifying agent.

(Hydrological Frequency Analysis). It was created by Professor Taha B.M.J. Ouarda and his team at INRS to provide a user-friendly interface for complex mathematical models. It allowed researchers to: Frequency Analysis on independent and identically distributed (IID) data.

Hyfran Plus is a software program dedicated to performing on data series, particularly those dealing with extreme values, such as maximum daily rainfall, peak river flows, or flood events. It is developed to assist researchers and engineers in determining the probability of specific occurrences, which is essential for determining return periods (e.g., 100-year flood). Frequently used for extreme value analysis

: It allows users to fit various statistical distributions to independent and identically distributed (IID) data series.

The "Plus" version allowed engineers to account for trends over time, such as increasing rainfall due to global warming. Decision Support:

The software provides a range of graphical outputs to help interpret results, including time series plots, probability paper plots, histograms, and comparisons of multiple fitted distributions with confidence intervals. The Development of Hyfran Initially, the software was

Tests for the independence of the data points.

The software supports a wide array of frequently used probability functions to model data, including: