Search results
Results from the WOW.Com Content Network
Experimental uncertainty analysis is a technique that analyses a derived quantity, based on the uncertainties in the experimentally measured quantities that are used in some form of mathematical relationship ("model") to calculate that derived quantity.
Aleatoric uncertainty is also known as stochastic uncertainty, and is representative of unknowns that differ each time we run the same experiment. For example, a single arrow shot with a mechanical bow that exactly duplicates each launch (the same acceleration, altitude, direction and final velocity) will not all impact the same point on the ...
Hope became another repeated topic and theme in the campaign, being the fourth most stated concept behind the economy, change, and security. [2] Below is an example of hope as a motif from Obama's 2004 Democratic National Convention keynote address: "Hope in the face of difficulty. Hope in the face of uncertainty. The audacity of hope!" [4]
Taking into account uncertainty arising from different sources, whether in the context of uncertainty analysis or sensitivity analysis (for calculating sensitivity indices), requires multiple samples of the uncertain parameters and, consequently, running the model (evaluating the -function) multiple times. Depending on the complexity of the ...
be done at any time of the time of the year with equal success. Don't think of this as a book that's only about January through December --- if you're reading it now, then now's the time to answer the questions, believe you can do it, and get on with it. This book is divided into three parts: Part One An introduction to the principles on which Best
Alternative decision techniques are robust to the uncertainty of probability of outcomes, either not depending on probabilities of outcomes and only requiring scenario analysis (as in minimax or minimax regret), or being less sensitive to assumptions. Bayesian approaches to probability treat it as a degree of belief. Thus, they do not ...
An external-time energy–time uncertainty principle might say that measuring the energy of a quantum system to an accuracy requires a time interval > /. [38] However, Yakir Aharonov and David Bohm [ 46 ] [ 36 ] have shown that, in some quantum systems, energy can be measured accurately within an arbitrarily short time: external-time ...
With a constant measurement uncertainty budget, complete data records can now be acquired. The measurement uncertainty applies to every single measurement point. If the measurement uncertainty is constant, this simplifies the further processing based on the data records. Example. Determination of the temperature of the oil in an oil sump.