MATH3821代做、代写Modelling、Java，c++，Python程序语言代做

日期：2020-07-23 10:20

UNIVERSITY OF NEW SOUTH WALES

SCHOOL OF MATHEMATICS AND STATISTICS

MATH3821 Statistical Modelling and Computing

Term Two 2020

Assignment Two

Given: Friday 17th July 2020 Due date: Sunday 2nd August 2020

INSTRUCTIONS: This assignment is to be done collaboratively by a group of 5 students. The same

mark will be given for the report to each student within the group, unless I have good reasons to believe that

somebody did not do anything.

You will need to produce and submit a report of your work in PDF format. This report will not contain more

than 10 pages, excluding the Appendix that should contain your computing codes. The report is due 11:59

pm, Sunday 2nd August. The first page of this PDF should be this page. Only one of the five students

should submit the PDF file on Moodle, with the names of the other students in the group clearly indicated in

the document.

I/We declare that this assessment item is my/our own work, except where acknowledged, and has not been

submitted for academic credit elsewhere. I/We acknowledge that the assessor of this item may, for the

purpose of assessing this item reproduce this assessment item and provide a copy to another member of the

University; and/or communicate a copy of this assessment item to a plagiarism checking service (which may

then retain a copy of the assessment item on its database for the purpose of future plagiarism checking). I/We

certify that I/We have read and understood the University Rules in respect of Student Academic Misconduct.

Name Student No Signature Date

1

Every other year, at the Joint Statistical Meetings, the Graphics Section and the Computing Section join in

sponsoring a special Poster Session called The Data Exposition , but more commonly known as The Data

Expo. All of the papers presented in this Poster Session are reports of analyses of a common data set provided

for the occasion. In addition, all papers presented in the session are encouraged to report the use of graphical

methods employed during the development of their analysis and to use graphics to convey their findings.

For your assignment 2, you are asked to explore one of these data sets (http://stat-computing.org/dataexpo/)

using one or several of the statistical modelling approaches presented in MATH3821. You might consider

using simulation strategies to investigate the appropriateness of assumptions you will make, or to provide

accuracies of your estimators (e.g., via the Bootstrap).

You should address the following in your written report:

? Goal of your statistical analysis: depending on the problem you decide to work on (and you can

formulate any question you think can be adressed with the data you chose), state clearly what the goal

of your analysis is (i.e., what question(s) you are trying to answer).

? Data collection and exploratory analysis: how did you collect the data. What exploratory analyses did

you do, graphical or otherwise. Which variables do you choose to use in your analysis and why?

? Model choice: what models did you fit? what assumptions did you made on the data generating process?

? Model fitting: what software did you use? how is variable/model selection carried out. Provide any

relevant computing code to support your results.

? Diagnostics: What model checking diagnostics did you carry out if any? What are the limitations if

any.

? Model assessment: How would you assess how useful/good your model is at prediction (if any)? what

are the limitations of your model? You don’t actually need to carry out any formal assessment, a

description of what you can do is enough.

2