Statistics and Random Processes
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:
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Required Literature |
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No. |
Author |
Title |
Publisher |
Year |
|
1 |
John A. Rice |
Mathematical Statistics and Data Analysis |
Ars Lamina |
2014 |
|
2 |
А. Field |
Discovering statistics using SPSS |
SAGE Publications |
2005 |
|
3 |
Oliver C. Ibe |
Fundamentals of Applied Probability and Random Processes |
Elsevier |
2005 |
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Additional Literature |
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No. |
Author |
Title |
Publisher |
Year |
|
1 |
S. Brandt |
Data Analysis, Statistical and Computational Methods for Scientists and Engineers |
Springer |
1998 |
