In this question you will consider properties of sample estimators in time series context and perform inference and testing. You may use R to assist you in calculations, but you should state the formula of any estimator you are calculating as well as the value you obtain for the estimator, and if R is used, the R command utilised. You can either obtain the solution by calculator or by R. 15 samples from a time series: You are given T {y₁,..., y15} = = {-0.92, 1.08, 0.20, -0.63, 1.36, 1.33, -1.06, 0.11, -1.00, -0.68, 1.81, 1.71, 0.93,-0.75, -2.16}

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
icon
Related questions
Question

R preferred

In this question you will consider properties of sample estimators
in time series context and perform inference and testing. You
may use R to assist you in calculations, but you should state the
formula of any estimator you are calculating as well as the value
you obtain for the estimator, and if R is used, the R command
utilised. You can either obtain the solution by calculator or by R.
You are given T = 15 samples from a time series:
{y₁,..., y15}
= {-0.92, 1.08, 0.20, -0.63, 1.36, 1.33, -1.06,
0.11, -1.00, -0.68, 1.81, 1.71, 0.93,-0.75, -2.16}
(c) Calculate a 95% confidence interval for estimator r(2) and
determine if the estimator is statistically different from 0.
You may assume that the Central Limit Theorem applies and
therefore the estimator has an asymptotic Gaussian distribu-
tion and you may use Bartlett's formula for the evaluation of
the finite sample standard error. Finally state the outcome
of your findings. Remark on the effect of such a small sample
size on this conclusion.
Transcribed Image Text:In this question you will consider properties of sample estimators in time series context and perform inference and testing. You may use R to assist you in calculations, but you should state the formula of any estimator you are calculating as well as the value you obtain for the estimator, and if R is used, the R command utilised. You can either obtain the solution by calculator or by R. You are given T = 15 samples from a time series: {y₁,..., y15} = {-0.92, 1.08, 0.20, -0.63, 1.36, 1.33, -1.06, 0.11, -1.00, -0.68, 1.81, 1.71, 0.93,-0.75, -2.16} (c) Calculate a 95% confidence interval for estimator r(2) and determine if the estimator is statistically different from 0. You may assume that the Central Limit Theorem applies and therefore the estimator has an asymptotic Gaussian distribu- tion and you may use Bartlett's formula for the evaluation of the finite sample standard error. Finally state the outcome of your findings. Remark on the effect of such a small sample size on this conclusion.
Expert Solution
Step 1

In this question, we are given a time series data set of size T=15. We are asked to calculate a confidence interval for the estimator r(2) and determine if the estimator is statistically different from 0.

 

Given:

Time series is given as,

{y1,..., Y15} = {-0.92, 1.08, 0.20, -0.63, 1.36, 1.33, -1.06, 0.11, -1.00, -0.68, 1.81, 1.71, 0.93, -0.75, -2.16}

T = 15 samples

 

 

steps

Step by step

Solved in 3 steps

Blurred answer
Recommended textbooks for you
Advanced Engineering Mathematics
Advanced Engineering Mathematics
Advanced Math
ISBN:
9780470458365
Author:
Erwin Kreyszig
Publisher:
Wiley, John & Sons, Incorporated
Numerical Methods for Engineers
Numerical Methods for Engineers
Advanced Math
ISBN:
9780073397924
Author:
Steven C. Chapra Dr., Raymond P. Canale
Publisher:
McGraw-Hill Education
Introductory Mathematics for Engineering Applicat…
Introductory Mathematics for Engineering Applicat…
Advanced Math
ISBN:
9781118141809
Author:
Nathan Klingbeil
Publisher:
WILEY
Mathematics For Machine Technology
Mathematics For Machine Technology
Advanced Math
ISBN:
9781337798310
Author:
Peterson, John.
Publisher:
Cengage Learning,
Basic Technical Mathematics
Basic Technical Mathematics
Advanced Math
ISBN:
9780134437705
Author:
Washington
Publisher:
PEARSON
Topology
Topology
Advanced Math
ISBN:
9780134689517
Author:
Munkres, James R.
Publisher:
Pearson,