The University of the South Pacific
Tutorial 2 Data Collection Sampling (Chapter 6)
EC203 Economic Statistics
Semester 1, 2013
Learning Outcomes
Different techniques of Probability (or Random) Sampling; including simple random, stratified, and
cluster .
K
The University of the South Pacific
Tutorial 3 ANS Graphical and Tabular Descriptive Methods (Text Ref. :Ch.2)
EC203 Economic Statistics
Semester 1, 2013
1. For following data entries identify:
I.
The level of measurement for each (i.e. whether the possib
The University of the South Pacific
Tutorial 2 ANSWERS Data Collection Sampling (Chapter 6)
EC203 Economic Statistics
Semester 1, 2013
Learning Outcomes
Different techniques of Probability (or Random) Sampling; including simple random, stratified, and
clu
prices, the complexity of the plant, and
the high reliability
requirements
for
steam
and
power
supply. To improve
operational stability and flexibility and
reduce energy costs,
ABB Predict & Control can be used to
coordinate control and
optimization.
The
ABBs Advanced Process Control (APC)
is a set of world-class
control and optimization products, which
are fully integrated
into a uniquely powerful suite that meets
the requirements of
every process application, from a smallscale single-unit plant
to a lar
installation, and easy diagnostics and
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suite is based on a set of common
components, which give
the products a uniform look and feel and
provide a familiar
interface for engineers and operators.
ABBs advanced solutions encompass
the f
statistical regressions, statistical process
control (SPC) and
multivariate SPC (MvSPC)
- APC Performance Manager - allows
seamless continuous
optimization
by
tracing
performance and presenting
APC
further possibilities for improvements
Connectivity throu
cutting-edge
ABB
technology
that
replaces the typical MPC
collection of single-input/single-output
(SISO) step response
models
with
a
true
multiple-
input/multiple-output (MIMO) state
space model.
Traditional MPC uses finite impulse
response models, which
primary energy such as gas or external
power supply.
APC
design
for
powerhousewww.abb.com/oilandgas
Rev 1-15-03
the
Table of Contents for the 2nd Edition of
Process Dynamics & Control
By
- User-defined trajectories for setpoints,
feed-forwards and
constraints
- Native representation of integral models
(like level) makes
it easy to control levels
- Online update of models and tuning
parameters based on
process conditions
The
Kalman
filter
optimization with prioritized control
targets and time-domain
tuning parameters. Multiple levels of
constraints are difficult
to
tune
without
a
sequential optimization
multi-objective,
algorithm
like
P&Cs.
Where
competitors controllers use a
gain scheduli
for application configuration, data preprocessing, model
building,
controller
tuning,
offline
simulation and analysis.
The online package comprises P&C
Built-in Client Operator
Interface, and P&C Engine the
computational core of Predict
and Control. P&C O
unrivaled success rate in improving
productivity in
a wide variety of industrial processes.
ABB
Advanced Process Control
5
Inferential Modeling Platform
Creates non-linear inferential models
from process data
Inferential Modeling Platform (IMP) is a
softw
non-linear
dynamic
processes.
This
approach utilizes the
simplicity and robustness of linear
models to improve the
performance of model predictive control.
Offline and online capabilities
Predict & Control is a native Windows
client-server
package
compris
statistical
process
control
and
multivariate statistical
process control.
IMP is a native Windows client-server
software
package
for
the
offline
development (IMP Model Builder) and
online deployment
(IMP Online) of inferential models.
IMP Model Builder
Th
Once that has been achieved, we with
the help of your
process engineers usually find that
there are possibilities to
further optimize process behavior.
For instance, we might start by assessing
the performance of
your DCS PID controllers, monitoring
how t
measure online what the laboratory takes
several hours to
measure. Then, we might assess the
performance of each
item of process-critical equipment and
use Predict & Control
to push each unit to its performance limit
and squeeze the
maximum revenues out o
control and optimization solutions, many
of which are based
on our powerful Advanced Process
Control (APC) suite of
control and optimization products.
ABB brings a wealth of expertise and
customer commitment
to every control project. We have the
worlds la
Actual constraint
MPC provides multivariable control
and is able to reduce variance
MPC provides optimal
control and automatically
shifts the target
Economic
optimum
Constraint 2
Constraint 3
Constraint 1
Operators
preferred
operating region
space models to accurately account for
complex process
dynamics with a reduced number of
parameters. Additionally,
this technology makes it possible to
implement explicit
state estimation by using the Kalman
filter to achieve early
and accurate disturbanc
Stepwise optimization and continuous
collaboration
Process optimization is a long-term
undertaking based on a
relationship of collaboration between the
customer and ABB.
If the customer has a process problem or
simply wishes to
enhance the performance of
Simple Linear Regression &
Correlation
Chapter 16 (6th ) or Ch. 14 (5th)
week 10 &11
Part 1
Note:
Section 16.5 and 16.6 (6th) and section 14.5 and
14.6 (5th ) non-examinable.
Chapter outline
Part 1
18.1 Model
18.2 Estimating the coefficients
18.3 Error va
The University of the South Pacific EC 203 Economic Statistics
Tutorial 9 ANS Hypothesis testing: Describing a single population
Text reference: 5tH Ed. chapter 12 (Exclude section 12.5) or 6thy Ed. Chapter 13 (Exclude section 13.5)
Coverage
o
o
o
o
o
Con
Revision: first understand week content well, then do chapter and slides examples, then tutorials
and then attempt below questions and check answers at the back of the textbook, if any queries
contact any teaching staff.
WEEK 6TH Edition
5
6. 2, 6.4 ,6.6
WEEK 1
Introduction to Statistics
Reading: Ch.1 and Ch2.1
Learning objectives
LO1 describe the two major branches of statistics
descriptive statistics and inferential statistics
LO2 understand the key statistical concepts population,
sample, parameter, s
EC203 Economic Statistics
The University of the South Pacific
Tutorial 1 Introduction to Statistics
Coverage
Key statistical concepts
Descriptive and inferential statistics
Role of statistics in Economics and Commerce.
Types of Data
Reading: textbook chap
EC203: ECONOMIC STATISTICS
Semester 1 2014
Test 1 version B Answers
Instructions
1.
2.
3.
4.
5.
6.
Permitted Materials: Calculator
Provided Materials: Appropriate formulas and statistical tables.
All questions are compulsory.
This test is out of 50 and co
EC203: ECONOMIC STATISTICS
Semester 1 2014
Test 1 version B
Instructions
1.
2.
3.
4.
5.
6.
Permitted Materials: Calculator
Provided Materials: Appropriate formulas and statistical tables.
All questions are compulsory.
This test is out of 50 and contribute
EC203 Economic Statistics
The University of the South Pacific
Tutorial 1 Answers Introduction to Statistics
Coverage
Key statistical concepts
Descriptive and inferential statistics
Role of statistics in Economics and Commerce.
Types of Data
Reading: textb