Line 21: Line 21:
 
</center>
 
</center>
 
----
 
----
<math>
+
waht
\begin{align*}
+
P(X=x|X+Y=n)
+
&=\frac{P(X=x, X+Y=n)}{P(X+Y=n)}\\
+
&=\frac{P(X=x, Y=n-x)}{P(X+Y=n)}
+
\end{align*}
+
\begin{align*}
+
P(X=x, Y=n-x)
+
&=P(X=x)P(Y=n-x)\\
+
&=\frac{e^{-\lambda_1}\lambda^x}{x!}\times \frac{e^{-\lambda_2}\lambda^(n-x)}{(n-x)!}\\
+
&=\frac{e^{-(\lambda_1+\lambda_2)}}{x!}
+
\left(
+
\begin{array}{c}
+
n\\x
+
\end{array}
+
\right)
+
\lambda_1^x\lambda_2^{n-x}
+
\end{align*}
+
\begin{align*}
+
{P(X+Y=n)}
+
&={\sum_{k=0}^{k=n}P(X=k,Y=n-k)}\\
+
&={\sum_{k=0}^{k=n}P(X=k)P(Y=n-k)}\\
+
&=\frac{e^{-(\lambda_1+\lambda_2)}}{n!}\sum_{k=0}^{k=n}
+
\left(
+
\begin{array}{c}
+
n\\k
+
\end{array}
+
\right)
+
\lambda_1^k\lambda_2^{n-k}
+
&=\frac{e^{-(\lambda_1+\lambda_2)}}{n!}(\lambda_1+\lambda_2)^n
+
\end{align*}
+
So
+
\begin{align*}
+
P(X=x|X+Y=n) &=
+
\left(
+
\begin{array}{c}
+
n\\k
+
\end{array}
+
\right)
+
(\frac{\lambda_1}{\lambda_1+\lambda_2})^x(\frac{\lambda_2}{\lambda_1+\lambda_2})^{n-x}
+
\end{align*}
+
</math>
+
 
----
 
----
 
[[ECE-QE_CS1-2015|Back to QE CS question 1, August 2015]]
 
[[ECE-QE_CS1-2015|Back to QE CS question 1, August 2015]]
  
 
[[ECE_PhD_Qualifying_Exams|Back to ECE Qualifying Exams (QE) page]]
 
[[ECE_PhD_Qualifying_Exams|Back to ECE Qualifying Exams (QE) page]]

Revision as of 13:08, 3 December 2015


ECE Ph.D. Qualifying Exam

Communication, Networking, Signal and Image Processing (CS)

Question 1: Probability and Random Processes

August 2015


waht


Back to QE CS question 1, August 2015

Back to ECE Qualifying Exams (QE) page

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva