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STAT-835 Probability and Statistics
Campus MCE
Programs PG
Session Fall Semester 2016
Course Title Probability and Statistics
Course Code STAT-835
Credit Hours 3-0
Pre-Requisutes Nil
Course Objectives To equip the students with the knowledge of probability and statistical tools required for undertaking the significance of collected experimental or field data and analysis of data for use in planning / design of engineering projects.
Detail Content
  • Set theory.
  • Basic concepts of probability.
  • Conditional probability.
  • Independent events.
  • Bayer’s formula.
  • Random variables, discrete and continuous.
  • Distribution and density functions.
  • Mean, variance, standard deviation.
  • j. Linear regression and curve fitting.
Text/Ref Books
  • Dixon, W. J. and Massey, F. J. Introduction to Statistical Analysis, 4th ed. New York: McGraw-Hill, 1983.
  • Everitt, B. Chance Rules: An Informal Guide to Probability, Risk, and Statistics. Copernicus, 1999.
  • Feller, W. An Introduction to Probability Theory and Its Applications, Vol. 1, 3rd ed. New York: Wiley, 1968.Fisher, N. I.; Lewis, T.; and Embleton, B. J. J. Statistical Analysis of Spherical Data. Cambridge, England: Cambridge University Press, 1987.
  • Fisher, R. A. and Prance, G. T. The Design of Experiments, 9th ed. rev. New York: Hafner, 1974.
  • Keeping, E. S. Introduction to Statistical Inference. New York: Dover, 1995.
  • Mises, R. von Probability, Statistics, and Truth, 2nd rev. English ed. New York: Dover, 1981.
  • O'Hagan, A. Kendall's Advanced Theory of Statistics, Vol. 2B: Bayesian Inference, 6th ed. New York: Oxford University Press, 1998.
  • Ostle, B. Statistics in Research: Basic Concepts and Techniques for Research Workers, 4th ed. Ames, IA: Iowa State University Press, 1988.
  • Papoulis, A. Probability, Random Variables, and Stochastic Processes, 2nd ed. New York: McGraw-Hill, 1984.
  • Press, W. H.; Flannery, B. P.; Teukolsky, S. A.; and Vetterling, W. T. "Statistical Decommention of Data." Ch. 14 in Numerical Recipes in FORTRAN: The Art of Scientific Computing, 2nd ed. Cambridge, England: Cambridge University Press, pp. 603-649, 1992.
  • Ross, S. M. A First Course in Probability, 5th ed. Englewood Cliffs, NJ: Prentice-Hall, 1997.
  • Ross, S. M. Applied Probability Models with Optimization Applications. New York: Dover, 1992.
  • Ross, S. M. Introduction to Probability Models, 6th ed. New York: Academic Press, 1997.
  • Spiegel, M. R. and Stephens, L. J. Theory and Problems of Statistics, 3rd ed. New York: McGraw-Hill, 1998.
  • Stuart, A.; and Ord, J. K. Kendall's Advanced Theory of Statistics, Vol. 1: Distribution Theory, 6th ed. New York: Oxford University Press, 1998.
  • Stuart, A.; and Ord, J. K. Kendall's Advanced Theory of Statistics, Vol. 2A: Classical Inference & the Linear Model, 6th ed. New York: Oxford University Press, 1999.
  • s. Székely, G. J. Paradoxes in Probability Theory and Mathematical Statistics, rev. ed. Dordrecht, Netherlands: Reidel, 1986.
Time Schedule Fall 2015
Faculty/Resource Person Lt Col Dr Muhammad Irfan PhD in Transportation Engineering