Theory of Estimation
The Theory of Estimation is a fundamental branch of statistics that deals with making inferences about a population based on a sample of data. This course covers the principles and methods of estimation, including point estimation, interval estimation, and hypothesis testing.
The Theory of Estimation is a fundamental branch of statistics that deals with making inferences about a population based on a sample of data. This course covers the principles and methods of estimation, including point estimation, interval estimation, and hypothesis testing.
Course Objectives:
- Understand the basic concepts of estimation and its importance in statistics
- Learn various methods of point estimation, such as maximum likelihood estimation and method of moments
- Study interval estimation techniques, including confidence intervals for means, proportions, and variances
- Understand hypothesis testing and its relationship to estimation
- Apply estimation techniques to real-world problems in various fieldsCourse Objectives:
- Understand the basic concepts of estimation and its importance in statistics
- Learn various methods of point estimation, such as maximum likelihood estimation and method of moments
- Study interval estimation techniques, including confidence intervals for means, proportions, and variances
- Understand hypothesis testing and its relationship to estimation
- Apply estimation techniques to real-world problems in various fields