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The Box-Jenkins methodology is a well known and widely used time series modeling tool. This book mainly describes the application of Box-Jenkins methodology to identify the patterns of signals from the noisy and inconsistent time series data collected from the field tests (actual durability test) of a ground vehicle. Since, durability tests are costly in-terms of time and money and they are important to ensure the safety and reliability of a ground vehicle, accelerated durability lab tests can be used to spot failures before actual road tests. Identified patterns of the signals of different…mehr

Produktbeschreibung
The Box-Jenkins methodology is a well known and widely used time series modeling tool. This book mainly describes the application of Box-Jenkins methodology to identify the patterns of signals from the noisy and inconsistent time series data collected from the field tests (actual durability test) of a ground vehicle. Since, durability tests are costly in-terms of time and money and they are important to ensure the safety and reliability of a ground vehicle, accelerated durability lab tests can be used to spot failures before actual road tests. Identified patterns of the signals of different road conditions or obstacles can be used to simulate the accelerated durability lab tests accurately.
Autorenporträt
Mostofa Ali Sarkar is a qualified research analyst with market and clinical research. He has obtained a Master of Science (in Statistics) degree from University of Manitoba, Canada and another Master of Science (in Applied Statistics) degree from ISRT, University of Dhaka, Bangladesh. Currently he is working as a Research Assistant.