The R Series
Statistics
The book first gives an overview of the R language and basic statistical concepts before discussing nonparametrics. It presents rankbased methods for
one and twosample probl
Quiz 7
Answer the following questions on this sheet. You will need to submit it on elearning.
1. Answer #6 on page 109 of your coursepack. To get to the solution, give me the:
a. sample estimate
0.75
Quiz 7
Answer the following questions on this sheet. You will need to submit it on elearning.
1. Answer #6 on page 109 of your coursepack. To get to the solution, give me the:
a. sample estimate
0.75
Quiz 7
Answer the following questions on this sheet. You will need to submit it on elearning.
1. Answer #6 on page 109 of your coursepack. To get to the solution, give me the:
a. sample estimate
0.75
Quiz 7
Answer the following questions on this sheet. You will need to submit it on elearning.
1. Answer #6 on page 109 of your coursepack. To get to the solution, give me the:
a. sample estimate
0.75
Quiz 7
Answer the following questions on this sheet. You will need to submit it on elearning.
1. Answer #6 on page 109 of your coursepack. To get to the solution, give me the:
a. sample estimate
0.75
Quiz 7
Answer the following questions on this sheet. You will need to submit it on elearning.
1. Answer #6 on page 109 of your coursepack. To get to the solution, give me the:
a. sample estimate
48/6
Quiz 7
Answer the following questions on this sheet. You will need to submit it on elearning.
1. Answer #6 on page 109 of your coursepack. To get to the solution, give me the:
a. sample estimate
0.75
Quiz 7
Answer the following questions on this sheet. You will need to submit it on elearning.
1. Answer #6 on page 109 of your coursepack. To get to the solution, give me the:
a. sample estimate
0.75
Quiz 7
Answer the following questions on this sheet. You will need to submit it on elearning.
1. Answer #6 on page 109 of your coursepack. To get to the solution, give me the:
a. sample estimate
0.75
Quiz 7
Answer the following questions on this sheet. You will need to submit it on elearning.
1. Answer #6 on page 109 of your coursepack. To get to the solution, give me the:
a. sample estimate
0.75
Take Notes
International & Global Studies
172/180
58/70
340/420
570/670
85.0 B
Micro Economics
34/41
24/40
58/81
70.0 C
Media & the Sexes
114.5/120
79/90
67/80
260.5/290
.89B
2
NONDISCLOSURE AGREEMENT
This Nondisclosure Agreement (this Agreement), dated effective as of the date signed by parties
below (the Effective Date) is between WoTaBu Intl., Inc. (WoTaBu Intl.) and the
Situational/SWOT Analysis
While conducting a PEST analysis for World Wide Eats, we will look at the strengths,
weaknesses, opportunities, and threats in our restaurant.
Strengths:
o Variety: World Wid
Chris Carroll
Planning Project
12/1/15
Asheville, North Carolina is a city in Buncombe county and it is the largest city in
Western North Carolina, and that also makes it the 11th largest city in the
Chris Carroll
1/19/16
World Ecology Problems
I was pretty surprised by my footprint because I thought that I treated the environment a lot
better than I actually do according to my score since I got a
Situational/SWOT Analysis
While conducting a PEST analysis for World Wide Eats, we will look at the strengths,
weaknesses, opportunities, and threats in our restaurant.
Strengths:
o Variety: World Wid
Chris Carroll
World Ecology Problems
Planet in Peril Part 1
4/19/16
Planet in Peril is a documentary about a full year long investigation to study things that
are causing huge problems including clima
Bryan Jones Portals Past

For this piece, I chose Formalist Criticism I feel that this piece was too simple in a
way. Formalist Criticism is criticism on an art piece that deals with elements of art
S6880 #15
Optimization and Root Finding
Optimization and Root Finding
In statistics, often arises in maximum likelihood problem:
i.i.d.
Data : x1 , . . . , xn f (x), x = (x1 , . . . , xn )t
n
Likelih
S6880 #16
Introduction to Resampling Procedures
Jackknife and Bootstrap
Introduction
For X F , X1 , . . . , Xn sampled from X . Want to estimate , a
parameter depending on F . = (F ). Examples:
(F ) =
S6880 #14
Variance Reduction Methods #2: Buffons Needle
Experiment
Buffons Needle Experiment
Original Form
The goal of the experiment is to determine the value of
empirically.
The Buffons needle expe
S6880 #11
Sampling from Marginal Densities
Possibility of Direct Generation
Problem: Given a random vector X = (X1 , , Xk )t .
Want: to generate a random variate from its i th
component Xi .
If: compo
S6880 #12
Monte Carlo (Techniques for) Integration
What is Monte Carlo Method
Use a stochastic model as a mean to study a deterministic
system. Example includes Monte Carlo integretation.
Monte Carlo
S6880 #11b
Sampling from Marginal Densities, An Example
An Example
Outline
1
An Example
An ExampleBinomialBetaPoisson Model
Hatching Insect Eggs Example in Full Form
(WMU)
S6880 #11b
S6880, Class No
S6880 #10
Sampling Methods
Sampling with Replacement
Want: Select a sample of size n with replacement from
cfw_x1 , x2 , , xN .
Method: Generate discrete uniform from the indices
cfw_1, 2, , N and in
S6880 #9
Generating Order Statistics
Direct Generation and Sorting
X F (x ), cost = sampling + sorting
Example sorting algorithm: quick sort, need O (n log n)
comparisons.
Inversion Method
Generate U1
S6880 #8
Generate Nonuniform Random Number #2
Marsaglias Method for Generating Normal r.v.s
rectanglewedgetail
First note that x N (0, 1) can be
generated by generating x from a half
normal and ass
S6880 #7
Generate Nonuniform Random Number #1
Inverse CDF
F (X ) U (0, 1) if X is continuous. That is, for continuous r.v. X ,
X = F 1 (U ). In general,
dene F 1 (u ) = mincfw_x : F (x ) u ,
then
X F