PPT-ADJUSTMENT COMPUTATIONS STATISTICS AND LEAST SQUARES

Author : lam | Published Date : 2023-09-21

IN SURVEYING AND GIS PAUL WOLF CHARLES D GHILANI TRAVERSE CLOSURE ΔX 2 Δ Y 2 Distance Error Distance Error Total Distance Error per foot Or Error Ratio

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ADJUSTMENT COMPUTATIONS STATISTICS AND LEAST SQUARES: Transcript


IN SURVEYING AND GIS PAUL WOLF CHARLES D GHILANI TRAVERSE CLOSURE ΔX 2 Δ Y 2 Distance Error Distance Error Total Distance Error per foot Or Error Ratio Tan 1 Δ. 1 Computations . Traversing - Computations. Traverse computations are concerned with deriving co-ordinates for the new points that were measured, along with some quantifiable measure for the accuracy of these positions. . Photogrammetric Journey. Edward M. Mikhail. Professor of . Photogrammetry. Former Head, . Geomatics. Engineering. Purdue University. mikhail@ecn.purdue.edu. November 6, 2009. Fritz Ackermann’s Photogrammetric Journey. Least Squares. Method. of . Least. . Squares. :. Deterministic. . approach. . The. . inputs. u(1), u(2), ..., u(N) . are. . applied. . to. . the. . system. The. . outputs. y(1), y(2), ..., y(N) . Adaptive Filters. Definition. With the arrival of new data samples estimates are updated recursively.. Introduce a weighting factor to the sum-of-error-squares definition. Weighting factor. Forgetting factor. Sockliner 1 2 R 1 2 15 R R R Weakest position Decrease Increase Adjustment bolt Adjustment bolt Adjustment plate Tightening torque: 5 STATISTICS AND LEAST SQUARES . IN SURVEYING AND GIS. PAUL WOLF. CHARLES D. GHILANI. TRAVERSE CLOSURE. √. ΔX. 2 . +. Δ. Y. 2 . =Distance Error. Distance . Error/ Total Distance = Error per foot. Or Error Ratio . Error in a Series . Errors in a Sum. Error in Redundant Measurement. Error. . in. . a. . Series. Describe. s. . th. e. . erro. r. . of multiple measurements. wit. h. . identical. . standar. d. . In this Lecture we study whether changes . in the independent variables cause changes in the mean . response and we analyze . the data using a method known as analysis . of variance . scalability . improvements . and . applications . to . difference . of convex programming.. Georgina . Hall. Princeton, . ORFE. Joint work with . Amir Ali Ahmadi. Princeton, ORFE. 1. Nonnegative polynomials. How many squares are in the border? Share Your Way of Counting One student at a time, explain how you counted. Come to the board if it’s helpful. Does everyone else understand? Does someone else have another way? . in . surveys. . Part 1: 1 D. Weighting and Weighting Adjustments due to Unit Non-response. Seppo. . Laaksonen. Seppo.Laaksonen@Helsinki.Fi. Topics in Social Statistics_ Weighting Seppo. 1. Content. Matthew Heintzelman. EECS 800 SAR Study Project . ‹#›. . Background:. Typical SAR image formation . algorithms. produce relatively high sidelobes (fast-time and slow-time) that . contribute. to image speckle and can mask scatterers with a low RCS.. Steve Matthews, Statistics Canada. March 26. th. ONS Time Series Meetings. Current Research. Variance Estimation for Seasonally Adjusted Estimates. Bootstrap . / Linearization/ Model-based. State Space Models.

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