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14.02.2021 | By Maukinos | Filed in: Weather.

These are identical results to those obtained by least squares adjustment of indirect observations set out in Chapter 4. Some Comments on the Two Applications of the Method of Least Squares 1. The method of least squares has been applied in two examples: (a) determining the parameters of a "line of best fit" through a number of data points. In general, redundant observations can improve the precision, accuracy and reliability of the observations as well as the derived results. Theory of errors and least squares adjustment is an important subject within the geomatics programme o¤ered at KTH. This is due to the fact that surveying and mapping (or production of spatial data) often requires mathematical processing of measurement data. . This chapter analyses the equations for performing least squares adjustments. It explores the fundamental principle of a least squares adjustment for observations having equal or unit weights. The more general case of least squares adjustment assumes that the observations have varying degrees of precision and thus varying weights.

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Least Squares Adjustment: Equal Weight Case, time: 12:17