Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Statistics
  • Course Structure Diagram with Credits
  • Mathematical Statistics I
  • Learning Outcomes
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

  • 1. Explain vector of random variables and distributions of random vectors. 1.1. Express marginal and conditional distributions. 1.2. Calculate conditional expected value and variance. 1.3. Identify bivariate normal distribution.
  • 2. Find distributions of functions of random variables. 2.1. Perform Distribution function technique. 2.2. Use transformation technique. 2.3. Perform Moment generating function technique.
  • 3. Explain concepts of population, parameter and estimator. 3.1. Express properties of sample mean and variance. 3.2. Find Sampling distributions.
  • 4. Distinguish c onvergences types 4.1. Express convergence in probability, distribution. 4.2. Perform law of large numbers and central limit theorem. 4.3. Evalute order statistics and some related sample statistics.

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