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Parameter Estimation Techniques Abstract Regression analysis is used to fit a model to collected data, which can then be used for various comparisons or prediction methods. Various techniques enable researchers to estimate unknown parameters to obtain a better knowledge of the underlying populations. In this undergraduate research project, I will look at three different methods of parameter estimation used in regression, least squares estimation, maximum likelihood estimation, and ridge regression estimation. The information will then be presented through the mathematical processor Latex. Biography
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