Publication | Closed Access
IV.—On Least Squares and Linear Combination of Observations
889
Citations
2
References
1936
Year
Approximate RepresentationParameter EstimationEngineeringSquared CoefficientsApproximation MethodStatistical InferenceMultivariate ApproximationEstimation TheoryApproximation TheoryStatisticsIv.—on Least SquaresLinear Combinations
In a series of papers W. F. Sheppard (1912, 1914) has considered the approximate representation of equidistant, equally weighted, and uncorrelated observations under the following assumptions:– (i) The data being u 1 , u 2 , …, u n , the representation is to be given by linear combinations (ii) The linear combinations are to be such as would reproduce any set of values that were already values of a polynomial of degree not higher than the k th. (iii) The sum of squared coefficients which measures the mean square error of y i , is to be a minimum for each value of i .
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