Reliability engineering is an engineering field, that deals with the study of reliability. the ability of a system or component to perform its required functions under stated conditions for a specified period of time. it is often reported in terms of a probability.
reliability is the ability of a person or system to perform and maintain its functions in routine circumstances, as well as hostile or unexpected circumstances.
*it is the probability that a component part, equipment, or system will satisfactorily perform its intended function under given circumstances, such as environmental conditions, limitations as to operating time, and frequency and thoroughness of maintenance for a specified period of time. The amount of credence placed in a result. The precision of a measurement, as measured by the variance of repeated measurements of the same object.
Reliability: It works as expected.Safety: It doesn't endanger your life or health.
Reliability is related with failure, i.e., how long it is expected that component or system will work perfectly as stated without failure or error. Robustness is ability of system or component to perform as expected under erroneous, stressful, or unexpected inputs or conditions (in perturbations)
A software is a set of machine readable instructions to run hardware! Software engineering is, however, the study and an application of engineering to the design, development and maintenance of software.
spelling difference
In Canada the difference between an engineering technician and an engineering technologist is a technologist has more training in Science, Mathematics, and is required to write a thesis.
Reliability: It works as expected.Safety: It doesn't endanger your life or health.
"Quality is conformance to customer expectations""Reliability is quality over time"
reliability is how long the connection is available such as up time latency is how busy the connection is and how long it takes for data to come and go from the network
Reliability and relevance can conflict when there is a trade-off between the two. For example, including more diverse data sources may increase relevance but decrease reliability. It is important to strike a balance between reliability and relevance based on the specific context and goals of the research or decision-making process.
The relationship between maintenance and reliability is strong. If you maintain something it will stay reliable for a longer period of time than if you don't.
tradeoffs between logisitcs reliability and systems reliability
validity is whether the results are valid so the data has no mistakes of as such in it whereas reliability is the dependability; when the results you have are accurate and are of enough quality.
Alternate form reliability assesses consistency between two different versions of a test, whereas parallel form reliability assesses consistency between two parallel forms of the same test. Alternate form reliability involves different content and format, while parallel form reliability involves similar content and format. Both aim to measure the consistency of test scores across different versions.
No, low variance does not necessarily lead to high inter rater reliability. Inter rater reliability is focused on the consistency of ratings between different raters, while variance measures the spread or dispersion of scores within a dataset. It is possible to have low variance but still have low inter rater reliability if raters are consistently scoring inaccurately or inconsistently.
in the analysis of company report it is assumed that the information is accurate and reliable and provide a suitable basis for comparison
Information such as the the value of the intellect of employee's may be considered relevant, but the reliability of this information is very low as it is difficult to determine a measurement for intellect.
Reliability is related with failure, i.e., how long it is expected that component or system will work perfectly as stated without failure or error. Robustness is ability of system or component to perform as expected under erroneous, stressful, or unexpected inputs or conditions (in perturbations)