UNIVERSITY OF GUELPH 
STAT*4360 - Applied Time Series Analysis 
Comprehensive Revision Guide and Notes 2024 
 
Part 01: About This Guide 
Part 02: Sample Examination 
Part 03: Suggested Solutions to Exam Paper 
Part 04: Study Tips for Students 
 
The 24/7 Online Support You Deserve 
Need to reach out to us with questions or for help? You'll connect with a private tutor who is extremely passionate about the course, ready to provide assistance and ensure that you're on the right track to graduating. 
 
Looking for more study resources? 
Find out about all the services and resources available for students at the University of Guelph

University of Guelph - STAT*4360: Applied Time Series Analysis (Solutions)

C$35.00

ACADEMIC YEAR 2023 - 2024

University	University of Guelph
Study Level	Undergraduate
Course Code	STAT*4360
Course Name	Applied Time Series Analysis
Study Material	Comprehensive Revision Guide and Notes
Page Length	30 pages

This Comprehensive Revision Guide and Notes for STAT*4360: Applied Time Series Analysis, University of Guelph - is designed to help you understand the content, structure, and format of the 2024 exam. The guide provides practical strategies for effective exam preparation, including techniques, hints, and tips. It also includes exam-like questions with solutions and clear, straightforward diagrams to enhance understanding and recall during the examination. Thoroughly updated to the latest course edition, this self-study set covers all examinable topics, ensuring students are fully prepared to approach the exam with confidence.

Course Overview:

(Credit Weight: 0.50) This course investigates the nature of stationary stochastic processes from the spectral and time domain points of view. Aspects of parameter estimation and prediction in a computationally intensive environment are the presentation style. The methods developed in this course have applicability in many sciences, such as engineering, environmental sciences, geography, soil sciences, and life sciences. Prerequisite: STAT*3240.

Key Areas of Focus:

Understand the basics of time series analysis.
Identify and analyze stationary processes in time series data.
Perform spectral analysis to study frequency components.
Apply Autoregressive Moving Average (ARMA) models to time series data.
Smooth periodograms for better frequency analysis.
Use Autoregressive Integrated Moving Average (ARIMA) models for non-stationary data.
Conduct time series regression to model relationships over time.

COURSE CODE	COURSE NAME
ACCT*1220	Introductory Financial Accounting
ACCT*1240	Applied Financial Accounting
ACCT*2230	Management Accounting
ACCT*3340	Intermediate Financial Accounting II
ACCT*3350	Taxation
ECON*1050	Introductory Microeconomics
ECON*1100	Introductory Macroeconomics
ECON*2310	Intermediate Microeconomics
ECON*2740	Economic Statistics
ECON*3740	Introduction to Econometrics
FIN*2000	Introduction to Finance
FIN*3000	Investments
FIN*3100	Corporate Finance
FIN*3200	Fundamentals of Derivatives
FIN*3500	Money, Credit, and the Financial System
HROB*2090	Individuals and Groups in Organizations
MCS*1000	Introductory Marketing
MCS*3040	Business and Consumer Law
STAT*2040	Statistics I
STAT*2060	Statistics for Business Decisions
STAT*4360	Applied Time Series Analysis

University of Guelph - STAT*4360: Applied Time Series Analysis (Solutions)

INFORMATION

COURSE DESCRIPTION

RELATED COURSES