ckn.mfunction y = ckn(P,k) determines the probability of the
occurrence of
k or more of the
n independent events whose probabilities are in row or
column vector
P (
k may be a row or column vector)
function y = ckn(P,k)
% CKN y = ckn(P,k) Probability of k or more successes% Version of 5/15/95
% Probabilities of k or more of n independent events% Uses the m-functions mintable, minprob, csort
n = length(P);m = length(k);
T = sum(mintable(n)); % The number of successes in each mintermpm = minprob(P); % The probability of each minterm
[t,p]= csort(T,pm); % Sorts and consolidates success numbers
% and adds corresponding probabilitiesfor i = 1:m % Sums probabilities for each k value
y(i) = sum(p(k(i)+1:n+1));end
parallel.mfunction y = parallel(p) determines the probability
of a parallel combination of the independent events whose probabilities are in row or columnvector
p .
function y = parallel(p)
% PARALLEL y = parallel(p) Probaaability of parallel combination% Version of 3/3/93
% Probability of parallel combination.% Individual probabilities in row matrix p.
y = 1 - prod(1 - p);
Conditional probability and conditional idependence
bayes.m produces a Bayesian reversal of conditional probabilities. The
input consists of
$P\left(E\right|{A}_{i})$ and
$P\left({A}_{i}\right)$ for a disjoint class
$\{{A}_{i}:1\le i\le n\}$ whose union contains
E . The procedure calculates
$P\left({A}_{i}\right|E)$ and
$P\left({A}_{i}\right|{E}^{c})$ for
$1\le i\le n$ .
% BAYES file bayes.m Bayesian reversal of conditional probabilities
% Version of 7/6/93% Input P(E|Ai) and P(Ai)
% Calculates P(Ai|E) and P(Ai|Ec)disp('Requires input PEA = [P(E|A1) P(E|A2) ... P(E|An)]')disp(' and PA = [P(A1) P(A2) ... P(An)]')disp('Determines PAE = [P(A1|E) P(A2|E) ... P(An|E)]')disp(' and PAEc = [P(A1|Ec) P(A2|Ec) ... P(An|Ec)]')PEA = input('Enter matrix PEA of conditional probabilities ');
PA = input('Enter matrix PA of probabilities ');PE = PEA*PA';
PAE = (PEA.*PA)/PE;PAEc = ((1 - PEA).*PA)/(1 - PE);
disp(' ')disp(['P(E) = ',num2str(PE),])disp(' ')
disp(' P(E|Ai) P(Ai) P(Ai|E) P(Ai|Ec)')disp([PEA; PA; PAE; PAEc]')disp('Various quantities are in the matrices PEA, PA, PAE, PAEc, named above')
odds.m The procedure calculates posterior odds for for a specified profile
E .
Assumes data have been entered by the procedure
oddsf or
oddsp .
% ODDS file odds.m Posterior odds for profile
% Version of 12/4/93% Calculates posterior odds for profile E
% Assumes data has been entered by oddsdf or oddsdpE = input('Enter profile matrix E ');
C = diag(a(:,E))'; % aa = a(:,E) is an n by n matrix whose ith columnD = diag(b(:,E))'; % is the E(i)th column of a. The elements on the
% diagonal are b(i, E(i)), 1<= i<= n
% Similarly for b(:,E)R = prod(C./D)*(p1/p2); % Calculates posterior odds for profile
disp(' ')disp(['Odds favoring Group 1: ',num2str(R),])if R>1
disp('Classify in Group 1')else
disp('Classify in Group 2')end
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
Any one who tell me about Preparation and application of Nanomaterial for drug Delivery
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?