Product Research

The Art and Science Behind Successful Product Launches

Nonfiction, Science & Nature, Technology, Industrial Design, Mathematics, Applied
Cover of the book Product Research by , Springer Netherlands
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9789048128600
Publisher: Springer Netherlands Publication: March 11, 2010
Imprint: Springer Language: English
Author:
ISBN: 9789048128600
Publisher: Springer Netherlands
Publication: March 11, 2010
Imprint: Springer
Language: English
    1. 1 Background Uncertainty can be considered as the lack of adequate information to make a decision. It is important to quantify uncertainties in mathematical models used for design and optimization of nondeterministic engineering systems. In general, - certainty can be broadly classi?ed into three types (Bae et al. 2004; Ha-Rok 2004; Klir and Wierman 1998; Oberkampf and Helton 2002; Sentz 2002). The ?rst one is aleatory uncertainty (also referred to as stochastic uncertainty or inherent - certainty) – it results from the fact that a system can behave in random ways. For example, the failure of an engine can be modeled as an aleatory uncertaintybecause the failure can occur at a random time. One cannot predict exactly when the engine will fail even if a large quantity of failure data is gathered (available). The second one is epistemic uncertainty (also known as subjective uncertainty or reducible - certainty) – it is the uncertainty of the outcome of some random event due to lack of knowledge or information in any phase or activity of the modeling process. By gaining information about the system or environmental factors, one can reduce the epistemic uncertainty. For example, a lack of experimental data to characterize new materials and processes leads to epistemic uncertainty.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
    1. 1 Background Uncertainty can be considered as the lack of adequate information to make a decision. It is important to quantify uncertainties in mathematical models used for design and optimization of nondeterministic engineering systems. In general, - certainty can be broadly classi?ed into three types (Bae et al. 2004; Ha-Rok 2004; Klir and Wierman 1998; Oberkampf and Helton 2002; Sentz 2002). The ?rst one is aleatory uncertainty (also referred to as stochastic uncertainty or inherent - certainty) – it results from the fact that a system can behave in random ways. For example, the failure of an engine can be modeled as an aleatory uncertaintybecause the failure can occur at a random time. One cannot predict exactly when the engine will fail even if a large quantity of failure data is gathered (available). The second one is epistemic uncertainty (also known as subjective uncertainty or reducible - certainty) – it is the uncertainty of the outcome of some random event due to lack of knowledge or information in any phase or activity of the modeling process. By gaining information about the system or environmental factors, one can reduce the epistemic uncertainty. For example, a lack of experimental data to characterize new materials and processes leads to epistemic uncertainty.

More books from Springer Netherlands

Cover of the book American Jewish Year Book 2012 by
Cover of the book Transplantation and Changing Management of Organ Failure by
Cover of the book Social Issues in Sustainable Fisheries Management by
Cover of the book Reclaiming Contaminated Land by
Cover of the book Flux-Corrected Transport by
Cover of the book Stem Cells and Cancer Stem Cells, Volume 6 by
Cover of the book Differential Geometry and Mathematical Physics by
Cover of the book Reproduction in New World Primates by
Cover of the book Adapting to Climate Change by
Cover of the book Combating Water Scarcity in Southern Africa by
Cover of the book Climate Change, Climate Science and Economics by
Cover of the book Hart's Legal Philosophy by
Cover of the book Catholic Education: Distinctive and Inclusive by
Cover of the book A Theory of Immediate Awareness by
Cover of the book The Logic of Mind by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy