



Estimates for identical parameters are heavily dependent on the
assumed underlying probability densities. To understand thissensitivity better, consider the following variety of
problems, each of which asks for estimates of quantitiesrelated to variance. Determine the bias and consistency in
each case.
Compute the maximum
a posteriori and
maximum likelihood estimates of
$$ based on
$L$ statistically independent observations of a Maxwellian
random variable
$r$ .
$$\forall r, , (r> 0)\land (> 0)\colon p(r, , r)=\sqrt{\frac{2}{}}^{3/2}r^{2}e^{(\frac{1}{2}\frac{r^{2}}{})}$$
$$\forall , > 0\colon p(, )=e^{()}$$
Find the maximum
a posteriori estimate
of the variance
$^{2}$ from
$L$ statistically independent observations having the
exponential density
$$\forall r, r> 0\colon p(r, r)=\frac{1}{\sqrt{^{2}}}e^{\left(\frac{r}{\sqrt{^{2}}}\right)}$$ where the variance is uniformly distributed over the interval
$\left[0 , {}_{\mathrm{max}}^{2}\right)$ .
Find the maximum likelihood estimate of the variance of
$L$ identically distributed, but dependent Gaussian random
variables. Here, the covariance matrix is written
$K_{r}=^{2}\stackrel{}{K}_{r}$ ,
where the normalized covariance matrix has trace
$\mathrm{tr}(\stackrel{}{K}_{r})=L$
Imagine yourself idly standing on the corner in a large city
when you note the serial number of a passing beer truck.Because you are idle, you wish to estimate (guess may be
more accurate here) how many beer trucks the city has fromthis single operation
Making appropriate assumptions, the beer truck's number is
drawn from a uniform probability density ranging betweenzero and some unknown upper limit, find the maximum
likelihood estimate of the upper limit.
Show that this estimate is biased.
In one of your extraordinarily idle moments, you observe
throughout the city
$L$ beer trucks. Assuming them to be independent
observations, now what is the maximum likelihood estimateof the total?
Is this estimate of
$$ biased? asymptotically biased? consistent?
We make
$L$ observations
${r}_{1},,{r}_{L}$ of a parameter
$$ corrupted by additive noise (
${r}_{l}=+{n}_{l}$ ). The parameter
$$ is a Gaussian random variable
[
$(, (0, {}_{}^{2}()))$ ]
and
${n}_{l}$ are statistically independent Gaussian random variables
[
$({n}_{l}, (0, {}_{n}^{2}()))$ ].
Find the MMSE estimate of
$$ .
Find the maximum
a posteriori estimate of
$$ .
Compute the resulting meansquared error for each estimate.
Consider an alternate procedure based on the same observations
${r}_{l}$ . Using the MMSE criterion, we estimate
$$ immediately after each observation. This procedure yieldsthe sequence of estimates
$({}_{1}({r}_{1}))$ ,
$({}_{2}({r}_{1}, {r}_{2}))$ ,,
$({}_{L}({r}_{1}, , {r}_{L}))$ . Express
$({}_{1})$ as a function of
$({}_{l1})$ ,
${}_{l1}^{2}$ , and
${r}_{l}$ . Here,
${}_{l}^{2}$ denotes the variance of the estimation error of the
${l}^{\mathrm{th}}$ estimate. Show that
$$\frac{1}{{}_{l}^{2}}=\frac{1}{{}_{}^{2}}+\frac{1}{{}_{n}^{2}}$$
Although the maximum likelihood estimation procedure was not
clearly defined until early in the 20th century, Gaussshowed in 1905 that the Gaussian density
It wasn't called the Gaussian density in
1805; this result is one of the reasons why it is.
was the
sole density for which the
maximum likelihood estimate of the mean equaledthe sample
average. Let
$\{{r}_{0}, , {r}_{L1}\}$ be a sequence of statistically independent, identically
distributed random variables.
What equation defines the maximum likelihood estimate
$({m}_{\mathrm{ML}})$ of the mean
$m$ when the common probability density function of the data
has the form
$p(rm)$ ?
The sample average is, of course,
$\sum \frac{{r}_{l}}{L}$ .
Show that it minimizes the meansquare error
$\sum ({r}_{l}m)^{2}$ .
Equating the sample average to
$({m}_{\mathrm{ML}})$ , combine this equation with the maximum
likelihood equation to show that the Gaussian densityuniquely satisfies the equations.
Because both equations equal 0, they can be equated. Use
the fact that they must hold for
all
$L$ to derive the result. Gauss thus showed that meansquared
error and the Gaussian density were closely linked,presaging ideas from modern robust estimation theory.
Questions & Answers
Application of nanotechnology in medicine
what is variations in raman spectra for nanomaterials
I only see partial conversation and what's the question here!
what about nanotechnology for water purification
please someone correct me if I'm wrong but I think one can use nanoparticles, specially silver nanoparticles for water treatment.
Damian
yes that's correct
Professor
is there industrial application of fullrenes.
What is the method to prepare fullrene on large scale.?
Rafiq
industrial application...? mmm I think on the medical side as drug carrier, but you should go deeper on your research, I may be wrong
Damian
How we are making nano material?
What is meant by 'nano scale'?
What is STMs full form?
LITNING
scanning tunneling microscope
Sahil
how nano science is used for hydrophobicity
Santosh
Do u think that Graphene and Fullrene fiber can be used to make Air Plane body structure the lightest and strongest.
Rafiq
Rafiq
what is differents between GO and RGO?
Mahi
what is simplest way to understand the applications of nano robots used to detect the cancer affected cell of human body.?
How this robot is carried to required site of body cell.?
what will be the carrier material and how can be detected that correct delivery of drug is done
Rafiq
Rafiq
if virus is killing to make ARTIFICIAL DNA OF GRAPHENE FOR KILLED THE VIRUS .THIS IS OUR ASSUMPTION
Anam
analytical skills graphene is prepared to kill any type viruses .
Anam
what is Nano technology ?
write examples of Nano molecule?
Bob
The nanotechnology is as new science, to scale nanometric
brayan
nanotechnology is the study, desing, synthesis, manipulation and application of materials and functional systems through control of matter at nanoscale
Damian
Is there any normative that regulates the use of silver nanoparticles?
what king of growth are you checking .?
Renato
What fields keep nano created devices from performing or assimulating ? Magnetic fields ? Are do they assimilate ?
why we need to study biomolecules, molecular biology in nanotechnology?
yes I'm doing my masters in nanotechnology, we are being studying all these domains as well..
Adin
biomolecules are e building blocks of every organics and inorganic materials.
Joe
anyone know any internet site where one can find nanotechnology papers?
sciencedirect big data base
Ernesto
Introduction about quantum dots in nanotechnology
nano basically means 10^(9). nanometer is a unit to measure length.
Bharti
how did you get the value of 2000N.What calculations are needed to arrive at it
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Source:
OpenStax, Statistical signal processing. OpenStax CNX. Dec 05, 2011 Download for free at http://cnx.org/content/col11382/1.1
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