Statistical Analysis In Hydrology
This course covers shapes of probability density
functions including measures of central tendency, dispersion and symmetry.
Expectation and estimation. Frequency analysis and design floods. Discrete and
continuous probability distributions, especially normal and extreme-value
distributions. Confidence intervals and hypothesis testing. Correlation, simple
and multiple regression. Variance analysis. Parameter-value estimation. Time-series
analysis and simple stochastic models. Error theory.
The course reviews statistical analysis methods and
provides a foundation for time series analysis and stochastic modeling of
geophysical time series.
By the end of this course, the student
should be able to:
Identify statistical methods that can be
used to handle large amounts of data
Use statistical tools for modelling and
analysis within the environmental sciences
Carry out a time-series analyses
Compute design floods and hydrological
A student completing the course is
§ Describe the advanced stochastic treatment of
time-series data of hydrologic and other environmental variables;
§ Discuss on the important techniques of stochastic
§ Apply concepts of probability and statistics in water
resources engineering research and practices..