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Stochastic processes (Usx)

Models containing one or more independent variables that are treated as having a range of possible values. A useful technique for computing the output from a stochastic model is Monte Carlo simulation. Also referred to as Probabilistic Models. (Source: AASHTO Glossary)
Use For
Random processes
Broader Term
Statistical analysis (Us)
Narrower Terms
Branching processes (Usxb)
Markov processes (Usxm)
Queuing theory (Usxq)
Random variables (Usxt)
Related Terms (Hierarchical)
Analysis of variance (Usa)
Backcalculation (Usb)
Correlation analysis (Usd)
Estimation theory (Use)
Hypothesis testing (Usf)
Mathematical prediction (Ush)
Meta-analysis (Usi)
Multivariate analysis (Usj)
Nonparametric analysis (Usk)
Parametric analysis (Usm)
Probability (Usp)
Randomization (Usq)
Ranking (Statistics) (Usr)
Regression analysis (Uss)
Reliability (Statistics) (Ust)
Statistics (Usu)
Sequential analysis (Usv)
Statistical sampling (Usw)
Descriptive statistics (Usy)