Statistics and Random Processes

Последна измена: October 25, 2019

Course title: Statistics and Random Processes

Code: 3ФЕИТ08З014

Number of credits (ECTS): 6

Weekly number of classes: 3+2+0+0

Prerequisite for enrollment of the subject: Passed: Probability

Course Goals (acquired competencies): Adopt the basic concepts and methods from random processes and systems. Development of analytical thinking, critical abilities, problem solving, ability to analyze and synthesize.

Total available number of classes: 180

Course Syllabus: Descriptive statistics. Data and types of data. Displaying data. Estimation of parameters. Method moment. Maximum-Likelihood Estimation method. Confidence intervals. Testing of parametric hypotheses. Testing nonparametric tests. Pirsons test, Kolmogorov, Kolmogorov-Smirnov test. Random processes-general terms. Markov chains. Poisson’s process. Generalization of the Poisson process. Queuening systems.

Literature:

Required Literature

No.

Author

Title

Publisher

Year

1

John A. RiceMathematical Statistics and Data AnalysisArs Lamina2014

2

А. FieldDiscovering statistics using SPSSSAGE Publications2005

3

Oliver C. IbeFundamentals of Applied Probability and Random ProcessesElsevier2005

Additional Literature

No.

Author

Title

Publisher

Year

1

S. BrandtData Analysis, Statistical and Computational Methods for Scientists and EngineersSpringer1998