Course description
  • Introduction
  • Experiment and events
  • Probability
  • Random variables and probability distributions
  • Function of random variable
  • Statistical averages
  • Statistics introduction
  • Point estimators
  • Hypothesis testing
  • ANOVA
  • Function estimators
  • Stochastic processes
  • Stochastic process characterization
Literature
  • D. C. Montgomery and G. C. Runger: Applied Statistics and Probability for Engineers, Wiley, New York, 1994.
  • J. S. Bendat and A. G. Piersol: Random Data: Analysis and Measurement Procedures, Wiley, New York, 2010.
  • W. B. Davenport, Jr.: Probability and Random Processes: An Introduction for Applied Scientists and Engineers, McGraw-Hill, New York, 1970.
  • I. Grabec and W. Sachse: Synergetics of Measurement, Prediction and Control, Springer, Berlin, 1997.