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STA304H1F/1003HF Fall 2018 Assignment # 3 Posted: Friday, November 2, 2018 Due: Online into Crowdmark by 10pm on Tuesday, November 27, 2018 Note: E-mail submissions will NOT be accepted. Late assignments will be subjected to a penalty of 20% per day late. Submissions will not be accepted beyond 48 hours of the due date. Instructions: […]

STAT:3200 – Applied Linear Regression, Homework 9 Assigned by Dr. Erning Li on 11/16/2018. Due at the beginning of class on Friday, November 30, 2018. Coverage: Multicollinearity, Model selection. 1. A simulation study of the impacts of multicollinearity: In statistics, Monte Carlo simulation can be used to assess the performance of a method. With simulations,

MSc Accounting and Finance: Applied Econometrics Assessed Exercise Instructions Please complete the Exercise below and submit: Point 1. before 4/11/2018 at 23:59 on The Hub. Submission will only be possible via The Hub. Late submissions will not be considered. Points 2. and 3. before 3/12/2018 at 23:59 on The Hub. Submission will only be possible

1. Download the dataset “Ohanian_HW1” from the course website. There are 200 observations. (A) Plot the data, and label this as Ögure 1. Do you think that the data are stationary? If so, why do you think that? (B) Estimate an AR(1) model for data points 1-150. You decide whether you wish to include a

STA304H1F/1003HF Fall 2018 Assignment # 3 Posted: Friday, November 2, 2018 Due: Online into Crowdmark by 10pm on Tuesday, November 27, 2018 Note: E-mail submissions will NOT be accepted. Late assignments will be subjected to a penalty of 20% per day late. Submissions will not be accepted beyond 48 hours of the due date. Instructions:

11/7/2018 Assignment 2 preview | Crowdmark This is a preview of what students will see when they are submitting the assignment. Interactive features are disabled. Assignment 2 Due: Monday November 26, 2018 1:00 PM (Eastern Standard Time) Assignment description Reminders from the syllabus: Late assignments have 10% per day deducted and those that are more

Assignment 1 – CSC3060 “AIDA” 30% of the module mark. Deadline: 5pm Friday, 16th November 2018. This version: 2018-10-04 Introduction In this assignment, you will: (a)  Create a dataset of handwritten symbols (which you will use for your analyses and experiments in the rest of Assignment 1, and in Assignment 2) (b)  Calculate features (i.e.

SCHOOL OF ELECTRICAL ENGINEERING AND COMPUTING BIG DATA AND DATA ANALYTICS LAB PROJECT 5 This lab project is based on a dataset about movie success in 2014 and 2015 by Ahmad et al. (2015) which is available on the online platform by Lichman et al (2013). The dataset file movidata.csv can be downloaded from Blackboard.

2B03 Assignment 3 Sampling Distributions and Statistical Inference (Chapters 5, 6 & 7) Your Name and Student ID Due Tuesday October 30 2018 (due in class prior to the start of the lecture) Instructions: You are to use R Markdown for generating your assignment (see the item Assignments and R Markdown on the course website

Problem Set 4 Due on Monday, Nov. 5 5:00 p.m. Fall 2018 Please round numbers to 4 decimal places. Write down your answers clearly and show all the important steps you used in your calculations. You do not need to provide your programming code in R or STATA. 1 Problem 1 – Empirical Exercise Download