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| MavicaNet - Classic |
Error Analysis | |
 | Katalog / Kultur / Wissenschaft / Mathematische Wissenschaften / Wahrscheinlichkeit und Statistik / Error Analysis |
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Error Analysis with Applications in Engineering
The book presents, in simple manner, branches of Error Analysis finding direct applications in solving various problem in engineering practice. It deals not only with one-dimensional but also with two- and three-dimensional distributions, as well as with two- and three dimensional vectorial functions of independent random variables. [eng] |
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Introduction to Error Analysis, Second Edition, John R. Taylor
An Introduction to Error Analysis, The Study of Uncertainties in Physical Measurements, Second Edition, 1997, by John R. Taylor, published by University Science Books. [eng] |
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Standard Error Analysis
We illustrate standard error analysis with the simple example of evaluating the scalar function y=f(z). Let the output of the subroutine which implements f(z) be denoted ; this includes the effects of roundoff. If where is small, then we say is a backward stable algorithm for f, or that the backward error is small. In other words, is the exact value of f at a slightly perturbed input. [eng] |
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Error Analysis
The knowledge we have of the physical world is obtained by doing experiments and making measurements. It is important to understand how to express such data and how to analyze and draw meaningful conclusions from it. [eng] |
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Error Analysis (Non-Calculus)
An introduction to error analysis suitable for freshman non-calculus physics courses. [eng] |
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Error Analysis
A description of the techniques using to determine how error propagates through an experimental procedure. [eng] |
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Standard Error Analysis
Illustration of standard error analysis with the simple example of evaluating the scalar function y = f(z). [eng] |
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Statistical Error Analysis
Random errors can arise from minute vibrations in the apparatus, quantum uncertainties in the system being studied, and many other small but uncontrolled effects. Fortunately, almost all the random errors you encounter can be characterized by a Gaussian distribution, also known as a bell curve. This simple mathematical form describes the probability of encountering any given error. [eng] |
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