# 7.1 Distribution approximations  (Page 2/3)

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Use of m-procedures to compare

We have two m-procedures to make the comparisons. First, we consider approximation of the Gaussian approximation to the Poisson distribution function μ = 10 . Gaussian approximation to the Poisson distribution function μ = 100 .

Poisson $\left(\mu \right)$ distribution. The m-procedure poissapp calls for a value of μ , selects a suitable range about $k=\mu$ and plots the distribution function for the Poisson distribution (stairs) and the normal (gaussian) distribution (dash dot) for $N\left(\mu ,\mu \right)$ . In addition, the continuity correction is applied to the gaussian distribution at integer values (circles). [link] shows plots for $\mu =10$ . It is clear that the continuity correction provides a much better approximation. The plots in [link] are for $\mu =100$ . Here the continuity correction provides the better approximation, but not by as much as for the smaller μ . Poisson and Gaussian approximation to the binomial: n = 1000, p = 0.03. Poisson and Gaussian approximation to the binomial: n = 50, p = 0.6.

The m-procedure bincomp compares the binomial, gaussian, and Poisson distributions. It calls for values of n and p , selects suitable k values, and plots the distribution function for the binomial, a continuous approximation to the distribution function for the Poisson,and continuity adjusted values of the gaussian distribution function at the integer values. [link] shows plots for $n=1000$ , $p=0.03$ . The good agreement of all three distribution functions is evident. [link] shows plots for $n=50$ , $p=0.6$ . There is still good agreement of the binomial and adjusted gaussian. However, the Poisson distribution does nottrack very well. The difficulty, as we see in the unit Variance , is the difference in variances— $npq$ for the binomial as compared with $np$ for the Poisson.

## Approximation of a real random variable by simple random variables

Simple random variables play a significant role, both in theory and applications. In the unit Random Variables , we show how a simple random variable is determined by the set of points on the real line representingthe possible values and the corresponding set of probabilities that each of these values is taken on. This describes the distribution of the random variable and makes possible calculations of eventprobabilities and parameters for the distribution.

A continuous random variable is characterized by a set of possible values spread continuously over an interval or collection of intervals. In this case, the probability is also spread smoothly. The distributionis described by a probability density function, whose value at any point indicates "the probability per unit length" near the point. A simple approximation is obtained by subdividing an interval whichincludes the range (the set of possible values) into small enough subintervals that the density is approximately constant over each subinterval. A point in each subinterval is selected and is assigned the probabilitymass in its subinterval. The combination of the selected points and the corresponding probabilities describes the distribution of an approximating simple random variable. Calculations based on thisdistribution approximate corresponding calculations on the continuous distribution.

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
I think
Professor
what is the stm
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 a peer
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?
?
Kyle
yes I'm doing my masters in nanotechnology, we are being studying all these domains as well..
why?
what school?
Kyle
biomolecules are e building blocks of every organics and inorganic materials.
Joe
anyone know any internet site where one can find nanotechnology papers?
research.net
kanaga
sciencedirect big data base
Ernesto
Introduction about quantum dots in nanotechnology
hi
Loga
what does nano mean?
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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