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Topics referred to by the same term
Error analysis can refer to one of the following: Error analysis (mathematics) is concerned with the changes in the output of the model as the parameters
Error_analysis
Approach in linguistics
materials. The two major causes of error, as coined by the error analysis approach, are the Interlingual error, which is an error made by the learner's linguistic
Error_analysis_(linguistics)
Study of kind and quantity of error
In mathematics, error analysis is the study of kind and quantity of error, or uncertainty, that may be present in the solution to a problem. This issue
Error_analysis_(mathematics)
Incorrect or inaccurate action
scholarly linguistics, but might be considered errors in prescriptivist contexts. See also Error analysis (linguistics). A gaffe is usually made in a social
Error
Detail of the global positioning system
The error analysis for the Global Positioning System is important for understanding how GPS works, and for knowing what magnitude of error should be expected
Error analysis for the Global Positioning System
Error_analysis_for_the_Global_Positioning_System
Analysis of software performed when running a program
performs run-time threading and memory error analysis in Windows. Parasoft Insure++ is a runtime memory analysis and error detection tool. Its Inuse component
Dynamic_program_analysis
Statistics concept
distinction is most important in regression analysis, where the concepts are sometimes called the regression errors and regression residuals and where they
Errors_and_residuals
Analysis of compression artifacts in digital data with lossy compression
Error level analysis (ELA) is the analysis of compression artifacts in digital data with lossy compression such as JPEG. When used, lossy compression is
Error_level_analysis
Statistical error measure
use different scales. The mean absolute error is a common measure of forecast error in time series analysis, sometimes used in confusion with the more
Mean_absolute_error
Concepts from statistical hypothesis testing
is the incorrect acceptance of a false null hypothesis. An analysis commits a Type I error when some baseline assumption is incorrectly rejected because
Type_I_and_type_II_errors
Strategies to make sure approximate calculations stay close to accurate
mitigating floating-point error. Though not the primary focus of numerical analysis, numerical error analysis exists for the analysis and minimization of floating-point
Floating-point error mitigation
Floating-point_error_mitigation
Difference between a measured value of a quantity and its true value
systematic errors include errors in equipment calibration, uncertainty in correction terms applied during experimental analysis, and errors due to the
Observational_error
Randomized algorithm for verifying matrix multiplication
fast matrix multiplication). The error analysis also shows that if the algorithm is run k {\displaystyle k} times, an error bound of less than 1 / 2 k {\displaystyle
Freivalds'_algorithm
Unintended deviation from the rules of a language variety
an L2 learner gets upon making errors benefits them in developing the L2 knowledge. Error analysis (linguistics) Error treatment (linguistics) Grammaticality
Error_(linguistics)
Text input method
may commit errors and correct them. The identification of errors and generation of error rate statistics is easy to automate. Through analysis of keystrokes
Typing
Effect of variables' uncertainties on the uncertainty of a function based on them
Retrieved 3 October 2012. Clifford, A. A. (1973). Multivariate error analysis: a handbook of error propagation and calculation in many-parameter systems. John
Propagation_of_uncertainty
Internet error message
indicates a client error, such as a mistyped Uniform Resource Locator (URL). The following two digits indicate the specific error encountered. HTTP's
HTTP_404
Factor in safety, ergonomics and system resilience
Simplified Human Error Analysis Code (SHEAN). More recently, the US Nuclear Regulatory Commission has published the Standardized Plant Analysis Risk – Human
Human_reliability
Methods for numerical approximations
solutions within specified error bounds are used. The overall goal of the field of numerical analysis is the design and analysis of techniques to give approximate
Numerical_analysis
Technique used in the field of human reliability assessment (HRA)
probability of human error occurring throughout the completion of a task. From such an analysis (after calculating a probability of human error in a given task)
Technique for human error-rate prediction
Technique_for_human_error-rate_prediction
Test statistic
Its square root is called regression standard error, standard error of the regression, or standard error of the equation (see Ordinary least squares § Reduced
Reduced_chi-squared_statistic
Statistical property
standard error of the mean is a measure of the dispersion of sample means around the population mean. In regression analysis, the term "standard error" can
Standard_error
Computer approximation for real numbers
"Roundoff Error and the Patriot Missile" (PDF), SIAM News, 25 (4): 11, retrieved 2024-11-15 Wilkinson, James Hardy (2003-09-08). "Error Analysis". In Ralston
Floating-point_arithmetic
Computational error due to rounding numbers
numerical analysis is to estimate computation errors. Computation errors, also called numerical errors, include both truncation errors and roundoff errors. When
Round-off_error
Numerical integration method
_{k=1}^{N-1}f(x_{k})\right).} As discussed below, it is also possible to place error bounds on the accuracy of the value of a definite integral estimated using
Trapezoidal_rule
floating-point numbers. Loss of significance Numerical analysis Error analysis (mathematics) Round-off error Kahan summation algorithm Numerical sign problem
Numerical_error
Branch of mathematics
of numerical analysis is concerned with obtaining approximate solutions while maintaining reasonable bounds on errors. Numerical analysis naturally finds
Mathematical_analysis
Technique used in the field of human reliability assessment
sensitivity analysis. The methodology of ATHEANA is not predictive but does serve as a diagnostic modelling tool. Furthermore, its lack of Human Error Probability
ATHEANA
British-born American physicist
college-level physics textbooks. His bestselling book is An Introduction to Error Analysis, which has been translated into nine languages. His intermediate-level
John_R._Taylor
Method to improve accuracy of numerical solutions to systems of linear equations
A\mathbf {x} =\mathbf {b} \,,} due to the compounded accumulation of rounding errors, the computed solution x ^ {\displaystyle {\hat {\mathbf {x} }}} may sometimes
Iterative_refinement
Mathematical concept
measurement of 4.5 cm, thereby introducing an error). In the mathematical field of numerical analysis, the crucial concept of numerical stability associated
Approximation_error
Numerical method for solving ordinary differential equations
equations. It follows from the error analysis of the trapezoidal rule for quadrature that the local truncation error τ n {\displaystyle \tau _{n}} of
Trapezoidal rule (differential equations)
Trapezoidal_rule_(differential_equations)
Type of signal filter
functions with duration T {\displaystyle T} producing an error in the reconstructed output signal. The error produced from time variant inputs is difficult to
Low-pass_filter
Legal concept
trial. Harmless error is easiest to understand in an evidentiary context. Evidentiary errors are subject to harmless error analysis, under Federal Rule
Harmless_error
Quantization error in numerical analysis
In numerical analysis, computational physics, and simulation, discretization error is the error resulting from the fact that a function of a continuous
Discretization_error
Collection of statistical models
Applied in the Study of Analysis of Variance Problems, II. Effects of Inequality of Variance and of Correlation Between Errors in the Two-Way Classification"
Analysis_of_variance
Action with unintended consequences
and execution (for example: slips or errors of execution versus mistakes or errors of intention) by level of analysis; for example, perceptual (e.g., optical
Human_error
Measures of observational error
Accuracy and precision are measures of observational error; accuracy is how close a given set of measurements is to the true value and precision is how
Accuracy_and_precision
New Zealand linguist (born 1943)
research on error analysis, including Error Analysis: Perspectives on Second Language Acquisition (1974), was influential in the study of learner errors and interlanguage
Jack_C._Richards
Statistical method
combinations of the potential factors plus "error" terms, hence factor analysis can be thought of as a special case of errors-in-variables models. The correlation
Factor_analysis
Error from taking a finite sum of an infinite series
In numerical analysis and scientific computing, truncation error is an error caused by approximating a mathematical process. The term truncation comes
Truncation_error
Set of statistical processes for estimating the relationships among variables
measured with error, regression with more predictor variables than observations, and causal inference with regression. Modern regression analysis is typically
Regression_analysis
1895 train accident in Paris, France
domain and was used as the cover page in the book An Introduction to Error Analysis by John Taylor. It is also on the cover of On This Day in History Sh
Montparnasse_derailment
Computer science concept
"literal-or-identifier + literal-or-identifier" and then the error will be detected during contextual analysis (when type checking occurs). In some cases, this validation
Syntax_error
Connected input and output streams for computer programs
program is run as a daemon, its standard error stream is redirected into a log file, typically for error analysis purposes. Streams may be used to chain
Standard_streams
Scheme for controlling errors in data over noisy communication channels
theory, and coding theory, forward error correction (FEC) or channel coding is a technique used for controlling errors in data transmission over unreliable
Error_correction_code
analysis are due to the same type 1 error that resulted in the exploratory model in the first place. The confirmatory analysis therefore will not be more informative
Data_analysis
Bug in a program that causes incorrect operation, but not termination
logic errors is the production of wrong solutions, though static analysis may sometimes spot them. One of the ways to find this type of error is to put
Logic_error
Checking software against expectations
include reverse engineering (using dynamic code analysis) to determine, for instance, boundary values or error messages. Manipulating input data and formatting
Software_testing
Quantum algorithm for solving systems of linear equations
{initial} \rangle } to | b ⟩ {\displaystyle |b\rangle } efficiently. Any error in the preparation of | b ⟩ {\displaystyle |b\rangle } is ignored. The algorithm
HHL_algorithm
Psychological phenomenon
of the meta-analysis concluded that the existing weight of evidence does not support the first form of the fundamental attribution error, but does not
Fundamental_attribution_error
Asymptotic variances under heteroskedasticity
(HC) standard errors arises in statistics and econometrics in the context of linear regression and time series analysis. These are also known
Heteroskedasticity-consistent standard errors
Heteroskedasticity-consistent_standard_errors
Cognitive Reliability and Error Analysis Method (CREAM), the taxonomy used by the Confidential Incident Reporting & Analysis System (CIRAS) in the UK rail
Safety_taxonomy
Measure of the error of an estimator
In regression analysis, "mean squared error", often referred to as mean squared prediction error or "out-of-sample mean squared error", can also refer
Mean_squared_error
1994 book by Antonio Damasio
Descartes' Error: Emotion, Reason, and the Human Brain is a 1994 book by neuroscientist António Damásio describing the physiology of rational thought
Descartes'_Error
Flaw of binary classification
Prior probabilities for these classes need to be accounted for in error analysis. Precision and recall help, but precision too can be biased by unbalanced
Accuracy_paradox
English linguist
at Edinburgh University, known for his contribution to the study of error analysis. He was the first Chair of the British Association for Applied Linguistics
Pit_Corder
Algorithm in numerical analysis
In numerical analysis, the Kahan summation algorithm, also known as compensated summation, significantly reduces the numerical error in the total obtained
Kahan_summation_algorithm
Tool to flag poor computer code
style or formatting errors, known as "linters" or "linting tools", even though the original Lint program performed static program analysis. Stephen C. Johnson
Lint_(software)
Numerical measure of a statistical relationship between variables
Retrieved April 17, 2014. Taylor, John R. (1997). An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements (PDF) (2nd ed.)
Correlation_coefficient
Academic journal
automatic differentiation, approximations and error analysis, parametric programming, sensitivity analysis, and management science. Computational Optimization
Computational Optimization and Applications
Computational_Optimization_and_Applications
Code that indicates the nature of an error
reporting errors Exit status Failure HRESULT, a computer programming data type used for error codes Static code analysis "What is an Error Code?". ComputerHope
Error_code
Analysis of potential system failures
events). Interface hazard analysis, human error analysis and others may be added for completion in scenario modelling. The analysis should always be started
Failure mode and effects analysis
Failure_mode_and_effects_analysis
Mistake made in typing printed material
A typographical error (often shortened to typo), also called a misprint, is a spelling or transposition mistake made in the typing of printed or electronic
Typographical_error
Sigmoid shape special function
In mathematics, the error function (also called the Gauss error function), often denoted by e r f {\displaystyle \mathbf {erf} } , is the function erf
Error_function
Iraqi mathematician
his contributions to Shannon Sampling Theory, Its Generalizations, Error Analysis, and Historical Reviews, and in particular his establishment in 2002
Abdul_Jerri
General linear model that blends ANOVA and regression
the CV×IV interaction term. In this analysis, you need to use the adjusted means and adjusted mean squared error. The adjusted means (also referred to
Analysis_of_covariance
Analysis of computer programs without executing them
static analysis that typically checks source code for programming errors, suspicious constructs, and style issues. The sophistication of the analysis performed
Static_program_analysis
Overthinking causes
based on hasty judgment or a gut reaction. Analysis paralysis is when the fear of either making an error or forgoing a superior solution outweighs the
Analysis_paralysis
Study of collection and analysis of data
country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a
Statistics
Upper bound on rounding error in floating-point arithmetic
approximation error due to rounding in floating point number systems. This value characterizes computer arithmetic in the field of numerical analysis, and by
Machine_epsilon
key technologies used in modern signal integrity test; notably Error Location Analysis and statistically deep eye-diagramming integrated with BERT measurement
SyntheSys_Research
Blackboard used by Albert Einstein on 16 May 1931 lectures at the University of Oxford
Einstein's 1931 paper – and on the blackboard – contain a systematic error. Analysis of the 1931 paper shows that, given the contemporaneous Hubble constant
Einstein's_Blackboard
Process where information about current status is used to influence future status
the loop gain "Operational amplifier gain stability, Part 2: DC gain-error analysis" (PDF). ... shows the simplified open-loop gain ... along with the closed-loop
Feedback
Method for bounding the errors of numerical computations
mathematics, interval analysis or interval computation) is a mathematical technique used to mitigate rounding and measurement errors in mathematical computation
Interval_arithmetic
Approximation method in statistics
the least-squares approach to regression analysis is optimal in the sense that in a linear model where the errors have a mean of zero, are uncorrelated,
Least_squares
Algorithm that estimates unknowns from a series of measurements over time
covariances matrices.[citation needed] This sensitivity analysis describes the behavior of the estimation error covariance when the noise covariances as well as
Kalman_filter
Method of data analysis
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data
Principal_component_analysis
Number of incorrect bits transmitted
synchronization errors. The bit error rate (BER) is the number of bit errors per unit time. The bit error ratio (also BER) is the number of bit errors divided
Bit_error_rate
Diagnostic plot of binary classifier ability
can be generalized to multiple classes) at varying threshold values. ROC analysis is commonly applied in the assessment of diagnostic test performance in
Receiver operating characteristic
Receiver_operating_characteristic
Standards organisation in France
along with information about systematic and random error values (in the form of an "error analysis"), the GUM approach is to express the result of a measurement
Joint Committee for Guides in Metrology
Joint_Committee_for_Guides_in_Metrology
Numerical analysis procedure
linear partial differential equations. The analysis is based on the Fourier decomposition of numerical error and was developed at Los Alamos National Laboratory
Von Neumann stability analysis
Von_Neumann_stability_analysis
Algorithm for computing convex hulls in a set of points
Jiang and N. F. Stewart elaborated on this and using the backward error analysis made two primary conclusions. The first is that the convex hull is a
Graham_scan
Methods of calculating definite integrals
An important part of the analysis of any numerical integration method is to study the behavior of the approximation error as a function of the number
Numerical_integration
Term used in safety work and accident prevention
Chiu, Ming-Chuan; Hsieh, Min-Chih (29 November 2015). "Latent human error analysis and efficient improvement strategies by fuzzy TOPSIS in aviation maintenance
Latent_human_error
Method of designing experiments
Association 68, 353-360 Bevington and Robinson, Data Reduction and Error Analysis for the Physical Sciences, 2nd Ed. McGraw–Hill (1992) Czitrom, Veronica
One-factor-at-a-time_method
Violation of codes of scholarly conduct and ethical behavior in scientific research
be used to detect fraudulent data include error analysis. Measurements generally have a small amount of error, and repeated measurements of the same item
Scientific_misconduct
Extension to cover cases with multiple dependent variables
Multivariate analysis of covariance (MANCOVA) is an extension of analysis of covariance (ANCOVA) methods to cover cases where there is more than one dependent
Multivariate analysis of covariance
Multivariate_analysis_of_covariance
English mathematician and computer scientist
recognition for his work in computations in linear algebra and 'backward' error analysis." In the same year, he also gave the Society for Industrial and Applied
James_H._Wilkinson
Description of limiting behavior of a function
In mathematical analysis, asymptotic analysis, also known as asymptotics, is the development and application of methods that generate an approximate analytical
Asymptotic_analysis
Logarithmic distance scale
+1}\delta \mu \approx 0.461d\ \delta \mu } which is derived using standard error analysis. Distance is not the only quantity relevant in determining the difference
Distance_modulus
Process of mathematical modelling, performed on a computer
not perfect, rounding and truncation errors multiply this error, so it is useful to perform an "error analysis" to confirm that values output by the
Computer_simulation
Specialized form of regression analysis, in statistics
seeks to overcome some limitations of traditional regression analysis. A regression analysis models the relationship between one or more independent variables
Robust_regression
Statistical amount
ISBN 0-9771170-1-4, 1980. Bevington, Philip R (1969). Data Reduction and Error Analysis for the Physical Sciences. New York, N.Y.: McGraw-Hill. OCLC 300283069
Weighted_arithmetic_mean
1986 United States Supreme Court case
Rule of Criminal Procedure 8(b) is subject to harmless error analysis, and it is not reversible error per se. In 1896, the United States Supreme Court held
United_States_v._Lane
Software bug with identified root cause but no fix
A known error is a software bug that has not been fixed, but has an identified root cause and either has low disruptive impact on end users or a known
Known_error
Statistical method
that parallel analysis was among the best-performing existing methods, but was slightly outperformed by their proposed prediction error-based approach
Parallel_analysis
Play by William Shakespeare
The Comedy of Errors is one of William Shakespeare's earliest plays. It is his shortest and one of his most farcical comedies, with a major part of the
The_Comedy_of_Errors
reconstructing the missing data from error correction codes. C2 error correction is an analysis over many interleaved frames. C2 error correction codes are also
C2_error
Error in the mendelian inheritance
A Mendelian error in the genetic analysis of a species, describes an allele in an individual which could not have been received from either of its biological
Mendelian_error
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