Antisense RNA therapy
ANTISENSE RNA THERAPY
Antisense RNA Therapy
B
YBy :shivani guleria
By:r
Reg no-11205013 Shivani Guleria
What is antisense RNA ?
Antisense RNA
is a single stranded RNA that is
complementary to messenger RNA (mRNA) strand transcribed
w

Math 541: Statistical Theory II
Methods of Evaluating Estimators
Instructor: Songfeng Zheng
Let X1 , X2 , , Xn be n i.i.d. random variables, i.e., a random sample from f (x|), where
is unknown. An estimator of is a function of (only) the n random variabl

ECE 531 - Detection and Estimation Theory
Homework 2
Solutions
3.3 (Luke Vercimak) The data x[n] = Arn + w[n] for n = 0, 1, . . . , N 1 are observed, where
w[n] is WGN with variance 2 and r > 0 is known. Find the CRLB for A. Show that an
efficient estimat

Math 541: Statistical Theory II
Maximum Likelihood Estimation
Lecturer: Songfeng Zheng
1
Maximum Likelihood Estimation
Maximum likelihood is a relatively simple method of constructing an estimator for an unknown parameter . It was introduced by R. A. Fish

Math 362, Problem Set 6
Due 3/23/11
1. (6.1.2) Let X1 , X2 , . . . , Xn be a random sample from a ( = 3, = )
distribution, 0 < < . Determine the mle of .
Answer
We have
L() =
1
3n 2n
Y
P
(Xi2 )e Xi /
`() = 3n log() n log(2) +
P
3n
Xi
`0 () =
+
.
2
X
2 log

Math 541: Statistical Theory II
Sufficient Statistics and Exponential Family
Lecturer: Songfeng Zheng
1
Statistics and Sufficient Statistics
Suppose we have a random sample X1 , , Xn taken from a distribution f (x|) which relies
on an unknown parameter in

14. Maximum likelihood estimation: MLE (LM 5.2)
14.1 Definition, method, and rationale
(i) The maximum likelihood estimate of parameter is the value of which maximizes the likelihood L().
(ii) For data values of an n-sample x1 , ., xn , outcomes of pdf fX