(i) Let Y1Y, be a set of independent random variables with E(Y) 0 +0, (i = 1,...,n) where #1, 2n are known and Var(Y,) squares estimators O,, O, and their covariance matrix. or, (i = 1,..,n). Find the least .... G) Let u be a set of ohservations on the indenendent random variablee V

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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3. (i) Let Y, ., Y, be a set of independent random variables with
E(Y,) = 0, +02x,
(i = 1,..,n)
%3D
....
where 1,..,n are known and Var(Y.) = or, (i = 1,...,n). Find the least
squares estimators O,, ê, and their covariance matrix.
(ii) Let y,n be a set of observations on the independent random variables Yi,..., Y
where
%3D
E(Y,) = i0,
Var(Y.) = i°o*
for i = 1, ..., n.
Derive the least squares estimate of 0 and obtain the variance of this estimator using
(a) Sw, the weighted sum of squares,
(b) matrix methods.
Transcribed Image Text:3. (i) Let Y, ., Y, be a set of independent random variables with E(Y,) = 0, +02x, (i = 1,..,n) %3D .... where 1,..,n are known and Var(Y.) = or, (i = 1,...,n). Find the least squares estimators O,, ê, and their covariance matrix. (ii) Let y,n be a set of observations on the independent random variables Yi,..., Y where %3D E(Y,) = i0, Var(Y.) = i°o* for i = 1, ..., n. Derive the least squares estimate of 0 and obtain the variance of this estimator using (a) Sw, the weighted sum of squares, (b) matrix methods.
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