Master of Engineering Management Program
BA503
Financial and Managerial Accounting
cial
Case Study #1
November 2nd, 2014
Sezgi Arifo
Arifolu
Peyman Jafari
Ahmet Gkhan Tiryaki
BA503
Financial and Managerial Accounting
Case Study #1
November 2nd, 2014
Net s
IE 325
S. Dayank
STOCHASTIC MODELING
Homework 7
Spring 2015
Friday, April 3
Read Section 2.4 of Chapter IV from Pinsky and Karlin.
Solve the following four problems.
1. The lifetime of a component of a computer is measured in discrete units and has prob
IE 325
S. Dayank
STOCHASTIC MODELING
Homework 6
Spring 2015
Friday, March 27
Read Section 1 of Chapter IV from Pinsky and Karlin.
Solve the following four problems.
1. Let X be a regular MC on some state space E with one-step transition probability matr
IE 325
S. Dayank
STOCHASTIC MODELING
Homework 4
Spring 2015
Friday, March 6
Read Sections 1 and 2 Chapter III from Pinsky and Karlin.
Solve the following four problems.
1. Let X = (Xn ) be a Markov chain on E = cfw_0, 1, 2 with Pcfw_X0 = 0 = 0.3 and Pcf
IE 325
S. Dayank
STOCHASTIC MODELING
Homework 3
Spring 2015
Friday, February 27
Read Sections 2 and 3 of Chapter II from Pinsky and Karlin.
Solve the following four problems.
1. The number of voltage surges in factory on a typical day has Poisson distri
Spring 2015 IE 325 Homework 2 Solutions
QTN 1. We can presume that each coin is tossed twices whether a head appears in the
rst toss and dene events
Fi = cfw_the rst toss of the ith coin results in heads,
Si = cfw_the second toss of the ith coin results i
IE 325
S. Dayank
STOCHASTIC MODELING
Homework 2
Spring 2015
Friday, February 20
Read Section 3 of Chapter I and Section 1 of Chapter II from Pinsky and Karlin.
Solve the following four problems.
1. We toss 10 coins. Each coin shows heads with probabilit
IE 325
S. Dayank
STOCHASTIC MODELING
Homework 1
Spring 2015
Friday, February 13
Read Sections 2.1-2.3, 2.7 of Chapter I from Pinsky and Karlin.
Solve the following four problems.
1. Let A, B, C be three events. Express the following new events using set
Essay 4
Title:Withreferencetotwoareasofknowledgediscussthewayin
whichsharedknowledgecanshapepersonalknowledge.
Introduction
1. Define the key terms and concepts in the title: I believe the
key terms here are: knowledge, shared knowledge, personal
knowledg
IE 325
S. Dayank
STOCHASTIC MODELING
Homework 8
Spring 2015
Friday, April 10
Read Section 1 of Chapter V from Pinsky and Karlin.
Solve the following four problems.
1. Let X = cfw_Xt ; t 0 be a Poisson process with rate = 3. Calculate
(a) Pcfw_X2 3,
(b)