ST4253 Group Project: Drug Sales Data Analysis
This project asks us to fit an appropriate model for the drug sales dataset - monthly anti-diabetic drug sales in Australia from 1992 to 2008. Total monthly scripts for pharmaceutical products falling under ATC code A10, as recorded by the Australian Health Insurance Commission.
First of all, we will look in the original dataset, trying to find some attributes about the time series data. We can effortlessly know that the maximum and minimum of data are 29.7 and 2.8,
with a mean value of 10.7.
#StatisticalAnalysis
#TimeSeriesModels
#StatisticalInference
#Autocorrelation
#MultivariateStatistics
#MathematicalModeling
#AutoregressiveIntegratedMovingAverage
#StatisticalForecasting
#TimeSeries
#AutoregressiveMovingAverageModel
#AkaikeInformationCriterion
#Forecasting
1
Found Helpful
7 Pages
Essays / Projects
Year Uploaded: 2022
#StatisticalAnalysis
#TimeSeriesModels
#StatisticalInference
#Autocorrelation
#MultivariateStatistics
#MathematicalModeling
#AutoregressiveIntegratedMovingAverage
#StatisticalForecasting
#TimeSeries
#AutoregressiveMovingAverageModel
#AkaikeInformationCriterion
#Forecasting
1
Found Helpful
7 Pages
Essays / Projects
Year Uploaded: 2022This document is 20 Exchange Credits
Details
More about this document
This document has been hand checked
Every document on Thinkswap has been carefully hand checked to make sure it's correctly described and categorised. No more browsing through piles of irrelevant study resources.
This is an Essay / Project
Essays / Projects are typically greater than 5 pages in length and are assessments that have been previously submitted by a student for academic grading.
What are Exchange Credits?
Exchange Credits represent the worth of each document on Thinkswap. In exchange for uploading documents you will receive Exchange Credits. These credits can then be used to download other documents for free.
Satisfaction Guarantee
We want you to be satisfied with your learning, that’s why all documents on Thinkswap are covered by our Satisfaction Guarantee. If a document is not of an acceptable quality or the document was incorrectly described or categorised, we will provide a full refund of Exchange Credits so that you can get another document. For more information please read Thinkswap's Satisfaction Guarantee
Integrity
Studying with Academic
Integrity
Integrity
Studying from past student work is an amazing way to learn and research, however you must always act with academic integrity.
This document is the prior work of another student. Thinkswap has partnered with Turnitin to ensure students cannot copy directly from our resources. Understand how to responsibly use this work by visiting ‘Using Thinkswap resources correctly’.
This document is the prior work of another student. Thinkswap has partnered with Turnitin to ensure students cannot copy directly from our resources. Understand how to responsibly use this work by visiting ‘Using Thinkswap resources correctly’.
How Thinkswap works
Find the study resources that suit your needs
Browse 200,000+ study notes and past assignments.
Swap your credits
Earn credits by sharing your own documents or buy credits to access resources.
Study anytime
Access and download PDFs of your materials online or offline.
Let the revision begin
Browse NUS Subjects
Thinkswap's high quality resources are categorised by subject or course.
Our Study Resources
Explore Thinkswap
Choose Region
Choose university or high school
Our Network
Trusted by students across the globe