Question: When does an error occur in volleyball?
About the article "Volleyball", section "Scoring".

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Special receiver conditions.
Overrun error.
An "overrun error" occurs when the receiver cannot process the character that just came in before the next one arrives.
Various devices have different amounts of buffer space to hold received characters.
The CPU must service the UART in order to remove characters from the input buffer.
If the CPU does not service the UART quickly enough and the buffer becomes full, an Overrun Error will occur, and incoming characters will be lost. 
The word error entails different meanings and usages relative to how it is conceptually applied.
The concrete meaning of the Latin word "error" is "wandering" or "straying".
Unlike an illusion, an error or a mistake can sometimes be dispelled through knowledge (knowing that one is looking at a mirage and not at real water does not make the mirage disappear).
For example, a person who uses too much of an ingredient in a recipe and has a failed product can learn the right amount to use and avoid repeating the mistake.
However, some errors can occur even when individuals have the required knowledge to perform a task correctly.
Examples include forgetting to collect change after buying chocolate from a vending machine, forgetting the original document after making photocopies, and forgetting to turn the gas off after cooking a meal.
Some errors occur when an individual is distracted by something else. 
In survey sampling, total survey error includes all forms of survey error including sampling variability, interviewer effects, frame errors, response bias, and non-response bias.
Total survey error is the difference between a population parameter (such as the mean, total or proportion) and the estimate of that parameter based on the sample survey or census.
It has two components: sampling error and nonsampling error.
Sampling error results from the variability inherent in using a randomly selected fraction of the population for estimation.
(These errors occur in sample surveys but not in censuses.)
Nonsampling error is the sum of all other errors, including errors in frame construction, sample selection, data collection, data processing and estimation methods.
(These errors occur in both sample surveys and censuses.
)The survey literature decomposes nonsampling errors into five general sources or types: specification error, frame error, nonresponse error, measurement error, and processing error.
Specification error occurs when the concept implied by the survey question differs from the concept meant to be measured in the survey.
Specification error is often caused by poor communication between the researcher, data analyst, or survey sponsor and the questionnaire designer.
Frame error typically results from the frame construction process.
For example, some units may be omitted or duplicated an unknown number of times, or some ineligible units may be included on the frame, such as businesses that are not farms in a farm survey.
Nonresponse error encompasses both unit nonresponse (sampling unit does not respond to any part of the questionnaire) and item nonresponse (the questionnaire is partially completed).
When the reason for nonresponse is related to the missing value, parameter estimates can be biased when nonresponse is not accounted for.
Measurement error occurs when the method of obtaining the measurement affects the recorded value, often involving simultaneously the respondent, the interviewer, and the survey questionnaire.
Measurement error has been studied and reported extensively in the survey methods literature, perhaps more than any other source of nonsampling error.
Finally, processing error refers to errors that arise during the data processing stage, including errors in the editing of the data, data encoding, the assignment of survey weights, and tabulation of the survey data. 
In electronics and computing, a soft error is a type of error where a signal or datum is wrong.
Errors may be caused by a defect, usually understood either to be a mistake in design or construction, or a broken component.
A soft error is also a signal or datum which is wrong, but is not assumed to imply such a mistake or breakage.
After observing a soft error, there is no implication that the system is any less reliable than before.
In the spacecraft industry this kind of error is called a single-event upset.
In a computer's memory system, a soft error changes an instruction in a program or a data value.
Soft errors typically can be remedied by cold booting the computer.
A soft error will not damage a system's hardware; the only damage is to the data that is being processed.
There are two types of soft errors:  Chip-level soft error  These errors occur when the radioactive atoms in the chip's material decay and release alpha particles into the chip.
Because an alpha particle contains a positive charge and kinetic energy, the particle can hit a memory cell and cause the cell to change state to a different value.
The atomic reaction is so tiny that it does not damage the actual structure of the chip.
System-level soft error These errors occur when the data being processed is hit with a noise phenomenon, typically when the data is on a data bus.
The computer tries to interpret the noise as a data bit, which can cause errors in addressing or processing program code.
The bad data bit can even be saved in memory and cause problems at a later time.
If detected, a soft error may be corrected by rewriting correct data in place of erroneous data.
Highly reliable systems use error correction to correct soft errors on the fly.
However, in many systems, it may be impossible to determine the correct data, or even to discover that an error is present at all.
In addition, before the correction can occur, the system may have crashed, in which case the recovery procedure must include a reboot.
Soft errors involve changes to data — the electrons in a storage circuit, for example — but not changes to the physical circuit itself, the atoms.
If the data is rewritten, the circuit will work perfectly again.
Soft errors can occur on transmission lines, in digital logic, analog circuits, magnetic storage, and elsewhere, but are most commonly known in semiconductor storage. 
 error in astronomy.
Precise parallax measurements of distance have an associated error.
However this error in the measured parallax angle does not translate directly into an error for the distance, except for relatively small angles.
The reason for this is that an error toward a smaller angle results in a greater error in distance than an error toward a larger angle.
However, an approximation of the distance error can be computed by formula_10 where "d" is the distance and "p" is the parallax.
The approximation is far more accurate for parallax errors that are small relative to the parallax than for relatively large errors.
For meaningful results in stellar astronomy, Dutch astronomer Floor van Leeuwen recommends that the parallax error be no more than 10% of the total parallax when computing this error estimate.