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Topic: Science
Number of pages / Number of words: 8 / 1968
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Two of these methods are the ''Least Squares'' and ''Minimum Zone''.

1.1 Least Squares Method

The most frequently used method, but has no general optimal properties to recommend it. For problems where the parameter dependence is linear, the ''Least Squares'' (LS) method produces unbiased estimators of minimum variance...


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The method of least squares requires that a straight line be fitted to a set of data points such that the sum of the squares of the vertical deviations from the points to the line is minimized, if the regression is on y.

[pic]

Fig. 2.4 Linear regression on y-axis

1.1.1 Method

At observational points x1, ……...


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