introduction to statistics Fall 2010
Exercise 8
1. If X is a binomial random variable with expectated value 6 and variance 2.4, find
P (X = 5).
In a binomial, E(X) = np, V ar(X) = np(1 p) and
P (X = i) =
Then substituting n =
E(X)
p
P (X = 5) =
n!
pi (1 p
See discussions, stats, and author profiles for this publication at: https:/www.researchgate.net/publication/255770407
Novel Approaches to Cognitive Informatics and
Natural Intelligence
Book January 2008
DOI: 10.4018/978-1-60566-170-4
CITATIONS
READS
7
15
JSS
Journal of Statistical Software
October 2009, Volume 32, Issue 6.
http:/www.jstatsoft.org/
mixtools: An R Package for Analyzing Finite
Mixture Models
Tatiana Benaglia
Didier Chauveau
Pennsylvania State University
Universite dOrleans
David R. Hunter
De
Chapter 11: The Order Up-To
Model
Medtronics InSync pacemaker supply chain and
objectives
Look at problem from two persopectives
One distribution center (DC) in Mounds View, MN.
About 500 sales territories throughout the country.
Consider Susan Magnot
Ev01ut10naryA190r1thm5
7 h 0 m a 5 8~ck*
Un1ver51ty 0f D0rtmund Department 0f C0mputer 5c1ence
P . 0 . 8 0 x 50 05 00 4600 D0rtmund 50 6ermany
A65tract
6enet1c A190r1thm5 and Ev01ut10n 5trate91e5, the
ma1n repre5entat1ve5 0f a c1a55 0f a190r1thm5 6a5ed
0n
University of Tennessee, Knoxville
Trace: Tennessee Research and Creative
Exchange
Doctoral Dissertations
Graduate School
8-2012
Solving Combinatorial Optimization Problems
Using Genetic Algorithms and Ant Colony
Optimization
Gautham Puttur Rajappa
grajap
Gaussian Nave Bayes, and
Logistic Regression
Required reading:
Mitchell draft chapter (see course website)
Recommended reading:
Bishop, Chapter 3.1.3, 3.1.4
Ng and Jordan paper (see course website)
Machine Learning 10-701
Tom M. Mitchell
Machine Learni
Modeling
Detailed
Operations
Chapter 5
Last revision August 20, 2006
What Well Do .
Model 5-1: Simple call center
Lower-level modeling, Advanced Process panel
Three-way decisions, Variables, Expressions, Storages
Blocks panel
Terminating vs. steady-state
201
Chapter 10
Optimization of
Inventory for Optimal
Replenishment Policies
and Lead-Time with
Time Varying Demand:
A Genetic Algorithm Approach
Kaushik Kumar
Birla Institute of Technology, India
Supriyo Roy
Birla Institute of Technology, India
ABSTRACT
C