Error is the lack of ability in explaining empirical phenomena. It can be classified in many ways,depending on the context. In human behavior, it could be considered an unintentional deviation from a desired aim. In measurement issues, the main distinction is between random and sistematic errors. In a statistical sense, it could be viewed either as a result of a measurement process – usually represented as a stochastic process – or as a lack of information about the data generation process. In applied sciences, modeling the error is a relevant source of knowledge and, generally, one of the main aims is to measure or control it
A scholarly research study into the issue of error as understood in the procedures of architectural ...
At the turn of the 19th century, Carl Friedrich Gauß founded error calculus by predicting the then u...
It is important for science students to understand not only how to estimate error sizes in measureme...
Errors in educational research and measurement arise from four main sources: (a) errors associated w...
Researchers’ ability to draw inferences from their empirical work hinges on the degree of measuremen...
The discussion of “error” has gained momentum in forensic science in the wake of the Daubert guideli...
Purpose To provide an organizational schema for systematic error and random error in estimating caus...
Measurement is the act or the result of a quantitative comparison between a given quantity and a qua...
We consider the implications of an alternative to the classical measurement-error model, in which th...
In spite of endless discussions about uncertainties the debate about errors is less animated. It mak...
Sampling error refers to variability that is unique to the sample. If the sample is the entire popul...
Summary: It is explained that the theory of errors is the application of the statistical method to t...
During recent years the significance of the concept of human error has changed considerably. The rea...
Excerpts from the article: Some of the recent advances in probability and mathematical statistics t...
Thinking scientifically consists of systematic observation, experiment, measurement, testing and mod...
A scholarly research study into the issue of error as understood in the procedures of architectural ...
At the turn of the 19th century, Carl Friedrich Gauß founded error calculus by predicting the then u...
It is important for science students to understand not only how to estimate error sizes in measureme...
Errors in educational research and measurement arise from four main sources: (a) errors associated w...
Researchers’ ability to draw inferences from their empirical work hinges on the degree of measuremen...
The discussion of “error” has gained momentum in forensic science in the wake of the Daubert guideli...
Purpose To provide an organizational schema for systematic error and random error in estimating caus...
Measurement is the act or the result of a quantitative comparison between a given quantity and a qua...
We consider the implications of an alternative to the classical measurement-error model, in which th...
In spite of endless discussions about uncertainties the debate about errors is less animated. It mak...
Sampling error refers to variability that is unique to the sample. If the sample is the entire popul...
Summary: It is explained that the theory of errors is the application of the statistical method to t...
During recent years the significance of the concept of human error has changed considerably. The rea...
Excerpts from the article: Some of the recent advances in probability and mathematical statistics t...
Thinking scientifically consists of systematic observation, experiment, measurement, testing and mod...
A scholarly research study into the issue of error as understood in the procedures of architectural ...
At the turn of the 19th century, Carl Friedrich Gauß founded error calculus by predicting the then u...
It is important for science students to understand not only how to estimate error sizes in measureme...