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Statistical Methods for Telecommunications
Engineering & Social Sciences Program
Madrid, Spain
Dates: 1/16/20 - 5/30/20
Statistical Methods for Telecommunications
OVERVIEW
CEA CAPA Partner Institution: Universidad Carlos III de Madrid
Location: Madrid, Spain
Primary Subject Area: Computer Engineering
Other Subject Area: Electrical Engineering
Instruction in: English
Transcript Source: Partner Institution
Course Details: Level 300
Recommended Semester Credits: 3
Contact Hours: 42
Prerequisites: Statistics
Matlab
DESCRIPTION
Chapter 1. Review of basic concepts
1.1 Descriptive Statistics
1.2 Probability
1.3 Random variables
1.4 Probability models
Chapter 2. Point estimation
2.1 Introduction to statistical inference: population and sample
2.2 Sample Statistics and their distribution
2.3 Estimation and Estimators
2.4 Methods of moments and of maximum likelihood
Chapter 3.Confidence intervals and hypothesis testing
3.1 Confidence intervals
3.2 Parametric hypothesis tests
Chapter 4. Distribution fitting
4.1 Graphical methods
4.2 Goodness of fit chi-square test
4.3 Transformations
Chapter 5. Comparison of populations
5.1 Comparison of two means from independent samples
5.2 Comparison of two means from paired samples
5.3 Comparison of two variances from normal populations
Chapter 6. The multiple regression model
6.1 The simple regression model
6.2 The multiple regression model
6.3 Inference in the regression model
Chapter 7. Time series analysis
7.1 Introduction to time series analysis
Chapter 8. Aplications in telecommunication engineering
8.1 Inference problem solving in the telecommunicacion field
1.1 Descriptive Statistics
1.2 Probability
1.3 Random variables
1.4 Probability models
Chapter 2. Point estimation
2.1 Introduction to statistical inference: population and sample
2.2 Sample Statistics and their distribution
2.3 Estimation and Estimators
2.4 Methods of moments and of maximum likelihood
Chapter 3.Confidence intervals and hypothesis testing
3.1 Confidence intervals
3.2 Parametric hypothesis tests
Chapter 4. Distribution fitting
4.1 Graphical methods
4.2 Goodness of fit chi-square test
4.3 Transformations
Chapter 5. Comparison of populations
5.1 Comparison of two means from independent samples
5.2 Comparison of two means from paired samples
5.3 Comparison of two variances from normal populations
Chapter 6. The multiple regression model
6.1 The simple regression model
6.2 The multiple regression model
6.3 Inference in the regression model
Chapter 7. Time series analysis
7.1 Introduction to time series analysis
Chapter 8. Aplications in telecommunication engineering
8.1 Inference problem solving in the telecommunicacion field