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CIVE 555 — Environmental Data Analysis

Application of statistical principles to design of measurement systems and sampling programs. Introduction to experimental design. Graphical data analysis. Description of uncertainty. Hypothesis tests. Model parameter estimation methods: linear and nonlinear regression methods. Trend analysis. Statistical analysis of censored data. Statistics of extremes.

  • Rating: 1.00 out of 5 from 19 student reviews
  • Difficulty: 3.00 out of 5
  • Credits: 3
  • Faculty: Faculty of Engineering
  • Department: Civil Engineering
  • Prerequisite (Undergraduate): CIVE 302 or permission of instructor