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- W3021612985 abstract "The method of least-squares is about estimating parameters by minimizing the squared discrepancies between observed data, on the one hand, and their expected values on the other. It is commonly used in the context of a regression model, where one observes pairs of variables (X, Y), with X, a covariable and Y, a response variable. The expectation of the response variable Y given the covariable X is modeled as a function fβ(X) depending on parameters β.Keywords:least-squares;linear hypothesis;regression" @default.
- W3021612985 created "2020-05-13" @default.
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- W3021612985 date "2014-09-29" @default.
- W3021612985 modified "2023-09-25" @default.
- W3021612985 title "Least‐Squares Estimation" @default.
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- W3021612985 doi "https://doi.org/10.1002/9781118445112.stat03982" @default.
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