STATGRAPHICS Rev. 7/3/2009
ARIMA Charts
Summary
The ARIMA (AutoRegressive Integrated Moving Average) Charts procedure creates control
charts for a single numeric variable where the data have been collected either individually or in
subgroups. In contrast
STATGRAPHICS Rev. 7/6/2009
Capability Analysis (Defects Per Unit)
This procedure is designed to estimate the mean number of defects per unit in a population based
on samples of items from that population. For each item, the number of defects is counted.
T
STATGRAPHICS Rev. 7/6/2009
C Chart
Summary
The C Chart procedure creates a control chart for data that describes the number of
nonconformities recorded as the result of inspecting m samples. The samples could represent a
group of n items, a fixed period o
STATGRAPHICS Rev. 7/6/2009
Capability Analysis (Percent Defective)
This procedure is designed to estimate the percentage of defective items in a population based on
samples of items from that population that have been classified as either defective or non
STATGRAPHICS Rev. 7/3/2009
Box-Cox Transformations
Summary
The Box-Cox Transformations procedure is designed to determine an optimal transformation
for Y while fitting a linear regression model. It is useful when the variability of Y changes as a
function
STATGRAPHICS Rev. 7/3/2009
Acceptance Charts
Summary
The Acceptance Charts procedure creates control charts with modified control limits based on
both the standard deviation of the process and on specification limits for the variable being
plotted. These
STATGRAPHICS Rev. 7/3/2009
Calibration Models
Summary
The Calibration Models procedure is designed to construct a statistical model describing the
relationship between 2 variables, X and Y, where the intent of the model-building is to construct
an equatio
STATGRAPHICS Rev. 7/6/2009
Capability Analysis (Variable Data)
Summary
The Capability Analysis procedures for variable data are designed to compare a sample of
measurements collected from a process to established specification limits for that variable. An
STATGRAPHICS Rev. 6/18/2009
Barchart
The Barchart procedure plots a column of counts or frequencies using either vertical or
horizontal bars. If desired, error bars may be added to display the sampling error in the
frequencies.
Sample StatFolio: barchart.
STATGRAPHICS Rev. 7/3/2009
Bicubic Spline
Summary
The Bicubic Spline procedure connects a grid of (X,Y,Z) triplets with a smooth function
consisting of piecewise cubic polynomials. The function can then be used to determine an
interpolated value for Z at
STATGRAPHICS Rev. 7/3/2009
Automatic Forecasting SnapStat
Summary
The Automatic Forecasting SnapStat creates a one-page summary of forecasts generated for a
time series. Like the Automatic Forecasting procedure, this SnapStat tries a collection of
forecas
STATGRAPHICS Rev. 2/20/2009
Analysis Procedures
The main STATGRAPHICS menu provides access to over 150 procedures that perform
statistical analyses. Each of the procedures operates similarly:
1. Data Input Dialog Box: When first selected, the procedure di
STATGRAPHICS Rev. 7/6/2009
Canonical Correlations
Summary
The Canonical Correlations procedure is designed to help identify associations between two
sets of variables. It does so by finding linear combinations of the variables in the two sets that
exhibit
STATGRAPHICS Rev. 7/3/2009
Automatic Forecasting
Summary
The Automatic Forecasting procedure is designed to forecast future values of time
series data. A time series consists of a set of sequential numeric data taken at equally
spaced intervals, usually o
STATGRAPHICS Rev. 7/3/2009
Arrhenius Plot
Summary
The Arrhenius Plot procedure is designed to plot data from an accelerated life test in which
failure times have been recorded and percentiles estimated at a number of different temperatures.
The percentile
STATGRAPHICS Rev. 7/3/2009
Box-and-Whisker Plot
Summary
The Box-and-Whisker Plot procedure creates a plot designed to illustrate important features of
a numeric data column. It was first described by John Tukey (1977) in his box Exploratory Data
Analysis.
STATGRAPHICS Rev. 1/12/2010
Andrews Plot
Summary
The Andrews Plot is a multivariate visualization technique that can be very useful in identifying
differences and similarities amongst observed cases when the number of dimensions is too large
to use a stan
STATGRAPHICS Rev. 7/3/2009
Bubble Chart
Summary
The Bubble Chart is an X-Y scatterplot on which the value of a third and possibly fourth variable
is shown by changing the size and/or color of the point symbols. It is one way to plot
multivariate data in 2
JSS
Journal of Statistical Software
February 2008, Volume 24, Issue 9.
http:/www.jstatsoft.org/
A statnet Tutorial
Steven M. Goodreau
Mark S. Handcock
David R. Hunter
University of Washington
University of Washington
Penn State University
Carter T. Butts
Tutorial for the R Statistical Package
University of Colorado Denver
Stephanie Santorico
Mark Shin
Contents
1 Basics
2
2 Importing Data
10
3 Basic Analysis
14
4 Plotting
22
5 Installing Packages
29
This document is associated with datasets and scripts as
Chapter 2
Norms, Traces and
Discriminants
We continue building our algebraic background to prepare for algebraic number theory.
2.1
2.1.1
Norms and Traces
Denitions and Comments
If E/F is a eld extension of nite degree n, then in particular, E is a nite-d
Chapter 1
Introduction
Techniques of abstract algebra have been applied to problems in number theory for a long
time, notably in the eort to prove Fermats last theorem. As an introductory example,
we will sketch a problem for which an algebraic approach w
Lecture 11. Multicollinearity
Data, US 1963-1985
Housing = new housing units started
(thousands)
Intrate = interest rate on mortgages
GNP
= GNP (billions of 1982 $)
Pop
= US population (millions)
Regressions with dependent variable housing
and independent
(copyright by Scott M. Lynch, February 2003)
1
Multicollinearity (Soc 504)
Until now, we have assumed that the data are well-conditioned for linear regression. The
next few sets of notes will consider what happens when the data are not so cooperative. The
Remarks on Expository
Writing in Mathematics
Robert B. Ash
Successful graduate students in mathematics are able to reach an advanced level in one
or more areas. Textbooks are an important part of this process. A skilled lecturer is able
to illuminate and
Table of Contents
Chapter 1
Introduction
1.1 Integral Extensions
1.2 Localization
Chapter 2
Norms, Traces and Discriminants
2.1 Norms and traces
2.2 The Basic Setup For Algebraic Number Theory
2.3 The Discriminant
Chapter 3
3.1
3.2
3.3
3.4
Dedekind Domain
Multicollinearity
Collinearity in a regression framework refers to the situation where one of the columns of the
design matrix (i.e. one of the predictors in the model) is linearly dependent on other columns. The
linear dependency may be caused by one pre
1
A Course In Algebraic Number Theory
Robert B. Ash
Preface
This is a text for a basic course in algebraic number theory, written in accordance with
the following objectives.
1. Provide reasonable coverage for a one-semester course.
2. Assume as prerequis
1
TITLE PAGE
THE IMPACT OF AGRICULTURAL DEVELOPMENT
ON NIGERIA ECONOMIC GROWTH (19802010)
A PROJECT SUBMITTED IN PARTIAL FULFILLMENT OF
THE REQUIREMENTS FOR THE AWARD OF BACHELOR
OF SCIENCE (B.Sc.) DEGREE IN ECONOMICS
BY
ONUNZE MARTIN TOCHUKWU
EC/2008/657