7- One of the following statement is not true a) The auto-covariance function and the power spectral density function are equivalent ways of describing a stationary stochastic process. b) For a sinusoidal input, the power is indirectly proportional to the squared amplitude of oscillation e F(m) = F,(@)+ F,(»), then F:(») relating to the deterministic component. d) Inference regarding the spectral density function is called an analysis of the frequency domain. e) If there is a trend and seasonal pattern in time series then we can use Holt- Winters methods

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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7- One of the following statement is not true
a) The auto-covariance function and the power spectral density function are
equivalent ways of describing a stationary stochastic process.
b) For a sinusoidal input, the power is indirectly proportional to the squared
amplitude of oscillation
) r F(@) = F,(@)+ F,(@), then F:(@) relating to the deterministic component.
d) Inference regarding the spectral density function is called an analysis of the
frequency domain.
e) If there is a trend and seasonal pattern in time series then we can use Holt-
Winters methods
Transcribed Image Text:7- One of the following statement is not true a) The auto-covariance function and the power spectral density function are equivalent ways of describing a stationary stochastic process. b) For a sinusoidal input, the power is indirectly proportional to the squared amplitude of oscillation ) r F(@) = F,(@)+ F,(@), then F:(@) relating to the deterministic component. d) Inference regarding the spectral density function is called an analysis of the frequency domain. e) If there is a trend and seasonal pattern in time series then we can use Holt- Winters methods
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