Design of
Experiment
Stat590
Lecture 1
Design of Experiment
Stat590
Lecture 1
Textbook: A First Course in Design and Analysis of
Experiments by Gary Oehlert, Freeman New York, 2000
Source: Chapter 1 and 2
What is
experiment
Experiment and
observational
st
Design of
Experiment
Stat590
Lecture 5
Design of Experiment
Stat590
Lecture 5
Textbook: A First Course in Design and Analysis of
Experiments by Gary Oehlert, Freeman New York, 2000
Source: Chapter 5
Multiple
Comparison
Problem of
multiple
comparison
Multi
Design of
Experiment
Stat590
Lecture 3
Design of Experiment
Stat590
Lecture 3
Textbook: A First Course in Design and Analysis of
Experiments by Gary Oehlert, Freeman New York, 2000
Source: Chapter 6
Assumptions and
Tools for
Checking and
Fixing
Assumption
Design of
Experiment
Stat590
Lecture 4
Design of Experiment
Stat590
Lecture 4
Textbook: A First Course in Design and Analysis of
Experiments by Gary Oehlert, Freeman New York, 2000
Source: Chapter 4 and 5
Contrasts
Contrasts
Estimation and
Inferences
Orth
Design of
Experiment
Stat590
Lecture 6
Design of Experiment
Stat590
Lecture 6
Textbook: A First Course in Design and Analysis of
Experiments by Gary Oehlert, Freeman New York, 2000
Source: Chapter 7 and 8
Sample Size for
CRD
How to choose
sample size
Calc
DESIGN OF EXPERIMENTS
16:960:590:01
FALL 2014
ARC 105, BC
M 6:40 9:30 PM
Text (free online):
A First Course in Design and
Analysis of Experiments
By Gary W. Oehlert,
W.H. Freeman & Co., 2000
Instructor:
Patrick Rojas, Ph.D.
[email protected]
Office h
Design of
Experiment
Stat590
Lecture 7
Design of Experiment
Stat590
Lecture 7
Textbook: A First Course in Design and Analysis of
Experiments by Gary Oehlert, Freeman New York, 2000
Source: Chapter 8 and 9
More on Two
Factor Design
Unreplicated
Two-factor
RUID # 158002821
Quality Management Assignment 6 (Statistical Process Control) Fall 2015
All work on this assignment
was done independently.
Print Your Last/Family Name: _Rao_
Print Your First/Given Name: _Kallakuri Suparna_
Signature: _
ISE580_F15_SPC
1
Quality Management Assignment 6 (Statistical Process Control) Fall 2015
All work on this assignment
was done independently.
Print Your Last/Family Name: _Singh_
Print Your First/Given Name: _Siddharth_
Signature: _
ISE580_F15_SPC
1
Question 1 (Xbar-R)
As
Table P-value = 0.05, 0.10
Computer P-value = 0.07172
(d)
t 0 = 1.55
Note that the degrees of freedom is (12 +12) 2 = 22. This is a two-sided test
The degrees of freedom are 15 1 = 14. This is a one-sided test.
2.7.
versusHH
: 1 > 2 0with
witha asample
sa
STAT 5200 Handout #17: Nesting and Crossing Examples (Ch. 12)
Example I is a simple nested factorial design. Example II is a bit more complicated.
Example I: Factory Layout
An industrial engineer conducts an experiment to evaluate different approaches to
The solutions for set #5 (Chapters 9 and 10) are:
-Question 9.3 solution:
_
Yij.is an estimator of the (i,j) cell whose parameters are:
mu + alpha i + beta j + alphabetaij
_
Then a contrast such as SumoveriSumover j[Wij*Yij.] =
SumoveriSumover j[Wij*alpha
CNC
Numerical control (NC) is the automation of machine tools that are operated by precisely
programmed commands encoded on a storage medium, as opposed to controlled manually via
hand wheels or levers, or mechanically automated via cams alone. Most NC to
STRUTS: Statistical Rules of Thumb
Gerald van Belle
Departments of Environmental Health and Biostatistics
University of Washington
Seattle, WA
98195-4691
Steven P. Millard
Probability, Statistics and Information
Seattle, WA
98115-5117
c
You may cite this
SET #1
Homework #1
This is a permutation test similar to the example included in the recent email (Sept.16), follows
the structure of Exercise # 2.4 from the book, but with simpler numbers:
Treatment A with n=3, has responses 250, 150, 140
Treatment B wit
USING R FOR DESIGN OF EXPERIMENTS 16:960:590:01
Once you call the R program you see on the screen a prompt to receive input commands. The default prompt is
for the Windows environment.
The R commands are presented in italics in these notes. The symbol # c
Design of Experiments (DOE)
Notes
Experimentation by varying one factor at a time began with Francis Bacon (XVI century),
in his experimentum crucis. Modern statistical experiments started with R. A. Fisher's use
in agricultural research during the 1920s.
Contents
input data for Example 3.1, DOE
Extract the design matrix and the responses
Solve the linear system
Find the residuals and MSE
use anova1
input data for Example 3.1, DOE
The data represent 5 replicates of 4 effect levels, generating the first 20
RUID # 158002821
Quality Management Assignment 6 (Statistical Process Control) Fall 2015
All work on this assignment
was done independently.
Print Your Last/Family Name: _Rao_
Print Your First/Given Name: _Kallakuri Suparna_
Signature: _
ISE580_F15_SPC
1
Longitudinal Data
A type of repeated measures
Outcomes are measured at multiple time points for each
subject
Same number of time points per subject (equally spaced)
Under the same or different conditions
Allows study of change overtime
Outcome measu
1. No. 4
VOL.
TECHNOMETRICS
Use of Half-Normal
Factorial
NOVEMBER, 1959
Plots in Interpreting
Two-Level
Experiments
CUTHBERT DANIEL
New York
City
Plotting the empirical cumulative distribution of the usual set of orthogonal contrasts computed from a 2p ex
SAS/STAT 9.2 Users Guide
The Four Types of Estimable
Functions
(Book Excerpt)
SAS Documentation
This document is an individual chapter from SAS/STAT 9.2 Users Guide.
The correct bibliographic citation for the complete manual is as follows: SAS Institute
NORMAL PROBABILITY PLOT using quantiles = (i 0.5)/n for x(i). You can
use (i-1/3)/(n+1/3) or (i-3/8)/(n+1/4) instead.
QUANTILE TO QUANTILE PLOTS (Q-Q plots)
A QQ plot is a plot of the quantiles of two distributions against each other, or a plot based on e
Ronald Fisher in 1935[3] introduced fiducial inference in order to apply it to this problem. He
referred to an earlier paper by Walter Ulrich Behrens from 1929. Behrens and Fisher proposed to
find the probability distribution of
where and are the two samp
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concoct:
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Design of
Experiment
Stat590
Lecture 8
Design of Experiment
Stat590
Lecture 8
Textbook: A First Course in Design and Analysis of
Experiments by Gary Oehlert, Freeman New York, 2000
Source: Chapter 10 and 11
Unbalanced
Factorial
Random Eects
One-factor
ran