A time series with a periodic component can be constructed from xt = U1 sin(2πω0t) + U2 cos(2πω0t), where U1 and U2 are independent random variables with zero means and E(U2 1 ) = E(U2 2 ) = σ2. The constant ω0 determines the period or time it takes the process to make one complete cycle. Show that this series is weakly stationary with autocovariance function
A time series with a periodic component can be constructed from xt = U1 sin(2πω0t) + U2 cos(2πω0t), where U1 and U2 are independent random variables with zero means and E(U2 1 ) = E(U2 2 ) = σ2. The constant ω0 determines the period or time it takes the process to make one complete cycle. Show that this series is weakly stationary with autocovariance function
MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Problem 1P
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Question
A time series with a periodic component can be constructed from
xt = U1 sin(2πω0t) + U2 cos(2πω0t),
where U1 and U2 are independent random variables with zero means and
E(U2
1 ) = E(U2
2 ) = σ2. The constant ω0 determines the period or time it
takes the process to make one complete cycle. Show that this series is weakly
stationary with autocovariance function
γ(h) = σ2 cos(2πω0h
![1.9 A time series with a periodic component can be constructed from
Xt = U1 sin(2Twot) + U2 cos(2Twot),
where U1 and U2 are independent random variables with zero means and
E(U?) = E(U;)
takes the process to make one complete cycle. Show that this series is weakly
stationary with autocovariance function
o2. The constant wo determines the period or time it
y(h) = o² cos(2™woh).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7a159f41-e21f-4de5-a83a-ebc24bbf731b%2Fadf48036-7db5-4839-b635-981d31b9e364%2Feiv1vle_processed.png&w=3840&q=75)
Transcribed Image Text:1.9 A time series with a periodic component can be constructed from
Xt = U1 sin(2Twot) + U2 cos(2Twot),
where U1 and U2 are independent random variables with zero means and
E(U?) = E(U;)
takes the process to make one complete cycle. Show that this series is weakly
stationary with autocovariance function
o2. The constant wo determines the period or time it
y(h) = o² cos(2™woh).
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