Related articles:
Estimator
Variance
Expectation-maximization algorithm
Detection theory
Matched filter
Signal processing
Spectral density
Information theory
Key terms:
n
estimator
frac
sigma
sum
hat
sample
maximum
mathbf
pi
mathrm
theta
ln p
error
partial
noise
parameters
statistical
filter
optimal
variance
bound
minimum
sqrt
mmse
exp
squared
probability
sample mean
derive
mathcal
bmatrix
maximum likelihood
spectral
unbiased estimator
detection
airplanes
estimation theory
method of moments
sample maximum
lower bound
uncertainty
signal processing
kalman filter
measured data
fisher information
uniform distribution
minimum mean squared error
minimum variance unbiased estimator
maximum likelihood estimator
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