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ASSOCIATION OF CANADA LANDS SURVEYORS - BOARD OF EXAMINERS WESTERN CANADIAN BOARD OF EXAMINERS FOR LAND SURVEYORS ATLANTIC PROVINCES BOARD OF EXAMINERS FOR LAND SURVEYORS _______________________________________________________________________

SCHEDULE I / ITEM 2

March 2005

LEAST SQUARES ESTIMATION AND DATA ANALYSIS

Note: This examination consists of _6_ questions on _2_ pages. Marks

Q. No Time: 3 hours Value Earned

1

Define and briefly explain the following terms

a)

Precision

b)

Accuracy

c)

Correlation coefficient

d)

Redundancy of a linear system

e)

Unbiasedness of an estimator

10

2

Given the following mathematical model C

x

C 0 ) x , (

f l =

l

where f is the vector of mathematical model, x is the vector of unknown parameter and C

x

is its variance matrix, l is the vector of observations and C

l

is its variance matrix.

a) Formulate the variation function.

b) Derive the least squares normal equation.

c) Derive the least squares solution of the unknown parameters.

15

3

Given the angle measurements at a station along with their standard deviations:

Angle Measurement Standard Deviation

α 134o38’56” 6.7”

β 83o17’35” 9.9”

γ 142o03’14” 4.3”

α γ β

Perform least squares adjustment to the problem using a) Conditional equations (conditional adjustment) b) Observation equations (parametric adjustment)

30

(2)

4

Given the variance-covariance matrix of the horizontal coordinates (x, y) of a survey station, determine the semi-major and semi-minor axes and the orientation of the standard error ellipse associated with this station.

x

m

2

000838 .

0 000602 .

0

000602 .

0 000532 .

C 0

 

= 

10

5

A baseline of calibrated length (

µ

) 100.0m is measured 5 times. Each measurement is independent and made with the same precision. The sample mean (

x

) and sample standard deviation (s) are calculated from the measurements:

x

=100.5m s = 0.05m

a) Describe the major steps to test the mean value.

b) Test at the 5% level of confidence if the measured distance is significantly different from the calibrated distance.

The critical value that might be required in the testing is provided in the following table:

Percentiles of t distribution

t

α Degree of

freedom 0.90

t t

0.95

t

0.975

t

0.99

1 3.08 6.31 12.7 31.8

2 1.89 2.92 4.30 6.96

3 1.64 2.35 3.18 4.54

4 1.53 2.13 2.78 3.75

5 1.48 2.01 2.57 3.36

20

6

Given two distance measurements that are independent and have standard deviations σ

1

= 0.20m and σ

2

= 0.15m, respectively,

a) Calculate the standard deviations of the sum and of the difference of the two measurements.

b) Calculate the correlation between the sum and the difference.

15

Total Marks: 100

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