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A sequence of 400 observations were made and found to be serially correlated. The auto correlation co-efficients were estimated as r1 = 0.25, r2 = 0.18, r3 = 0.13, r4 = 0.08. Others were not significantly different from zero. The mean of samples was found to be 18.3 and the variance as 958. Assume that the estimate lies within + 3 units of the true mean with confidence of 0.95. Calculate the minimum sample size for simulation to arrive at proper results.

A sequence of 400 observations were made and found to be serially correlated. The auto correlation co-efficients were estimated as r1 = 0.25, r2 = 0.18, r3 = 0.13, r4 = 0.08. Others were not significantly different from zero. The mean of samples was found to be 18.3 and the variance as 958. Assume that the estimate lies within + 3 units of the true mean with confidence of 0.95. Calculate the minimum sample size for simulation to arrive at proper results.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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A sequence of 400 observations were made and found to be serially correlated. The auto correlation co-efficients were estimated as r1 = 0.25, r2 = 0.18, r3 = 0.13, r4 = 0.08. Others were not significantly different from zero. The mean of samples was found to be 18.3 and the variance as 958. Assume that the estimate lies within + 3 units of the true mean with confidence of 0.95. Calculate the minimum sample size for simulation to arrive at proper results.
Transcribed Image Text:A sequence of 400 observations were made and found to be serially correlated. The auto correlation co-efficients were estimated as r1 = 0.25, r2 = 0.18, r3 = 0.13, r4 = 0.08. Others were not significantly different from zero. The mean of samples was found to be 18.3 and the variance as 958. Assume that the estimate lies within + 3 units of the true mean with confidence of 0.95. Calculate the minimum sample size for simulation to arrive at proper results.
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