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Covariance and correlation
In signal processing, cross-correlation is a measure of similarity of two series as a function of the displacement of one relative to the other. This
Cross-correlation
Concept in digital signal processing
The cross-correlation matrix of two random vectors is a matrix containing as elements the cross-correlations of all pairs of elements of the random vectors
Cross-correlation_matrix
Statistical relationship
In statistics, correlation is a type of statistical relationship between two random variables or bivariate data. It usually refers to the extent to which
Correlation
Correlation of a signal with a time-shifted copy of itself, as a function of shift
Autocorrelation, sometimes known as serial correlation in the discrete time case, measures the correlation of a signal with a delayed copy of itself.
Autocorrelation
Measure of linear correlation
In statistics, the Pearson correlation coefficient (PCC), also known as Pearson's r, the Pearson product-moment correlation coefficient (PPMCC), or simply
Pearson correlation coefficient
Pearson_correlation_coefficient
Function in discrete mathematics
DTFT of a finite length sequence. (§ Sampling the DTFT) It is the cross correlation of the input sequence, x n {\displaystyle x_{n}} , and a complex sinusoid
Discrete_Fourier_transform
Nonparametric measure of rank correlation
In statistics, Spearman's rank correlation coefficient or Spearman's ρ is a number ranging from -1 to 1 that indicates how strongly two sets of ranks
Spearman's rank correlation coefficient
Spearman's_rank_correlation_coefficient
Correlation as a function of distance
made up of autocorrelations. Correlation functions of different random variables are sometimes called cross-correlation functions to emphasize that different
Correlation_function
Concepts in probability and statistics
the variable Y). In this case the cross-covariance and cross-correlation are functions of the time difference: cross-covariance σ X Y ( m ) = E [ ( X n
Covariance_and_correlation
Type of statistical analysis
Fluorescence correlation spectroscopy (FCS) is a statistical analysis, via time correlation, of stationary fluctuations of the fluorescence intensity.
Fluorescence correlation spectroscopy
Fluorescence_correlation_spectroscopy
Numerical measure of a statistical relationship between variables
A correlation coefficient is a numerical measure of some type of linear correlation, meaning a linear function between two variables. The variables may
Correlation_coefficient
Statistical measure of association for two binary variables
known as the mean square contingency coefficient or Yule coefficient of correlation and commonly denoted by φ or rφ, is a measure of association between
Phi_coefficient
Statistical model validation technique
specification like swap sampling and prospective studies. Due to correlations, cross-validation with random splits might be problematic for time-series
Cross-validation_(statistics)
Table that displays the frequency of variables
Interactive cross tabulation, chi-squared independent test, and tutorial Fisher and chi-squared calculator of 2 × 2 contingency table More Correlation Coefficients
Contingency_table
Technique to find image offset
particularly to a subset of cross-correlation techniques that isolate the phase information from the Fourier-space representation of the cross-correlogram. The following
Phase_correlation
Plot using the dispersal of scattered dots to show the relationship between variables
positive correlation between the variables being studied. If the pattern of dots slopes from upper left to lower right, it indicates a negative correlation. A
Scatter_plot
Sequence of data points over time
auto-correlation and cross-correlation analysis. In the time domain, correlation and analysis can be made in a filter-like manner using scaled correlation
Time_series
Signal processing technique
additive noise having a normal distribution. In other words, the cross-correlation of the received signal with the transmitted signal is computed. This
Pulse_compression
Integral expressing the amount of overlap of one function as it is shifted over another
similar to cross-correlation: for real-valued functions, of a continuous or discrete variable, convolution f ∗ g {\displaystyle f*g} differs from cross-correlation
Convolution
Empirical law on the variance of species in a habitat
fits the data when there is positive correlation of disease status of neighbors. Where there is a negative correlation between the likelihood of neighbours
Taylor's_law
Technique in digital image processing
additional variable of color is either not present or not relevant. Cross correlation techniques compare the similarities of the search and template images
Template_matching
Simultaneous observation and analysis of more than one outcome variable
over time. Iconography of correlations consists in replacing a correlation matrix by a diagram where the "remarkable" correlations are represented by a solid
Multivariate_statistics
Relative measure of dispersion expressed as the ratio of standard deviation to the mean
Square Deviation (RMSD). While many natural processes indeed show a correlation between the average value and the amount of variation around it, accurate
Coefficient_of_variation
Radar system that does not transmit
processing techniques to exploit a variety of broadcast signals and to use cross-correlation techniques to achieve sufficient signal processing gain to detect
Passive_radar
Statistic measuring inter-rater agreement for categorical items
unweighted kappa calculation given above. Bangdiwala's B Intraclass correlation Krippendorff's alpha Statistical classification Banerjee, M.; Capozzoli
Cohen's_kappa
Type of statistics
two different variables. Quantitative measures of dependence include correlation (such as Pearson's r when both variables are continuous, or Spearman's
Descriptive_statistics
Relative importance of certain frequencies in a composite signal
the cross-correlation of x ( t ) {\displaystyle x(t)} with y ( t ) {\displaystyle y(t)} and R y x ( τ ) {\displaystyle R_{yx}(\tau )} is the cross-correlation
Spectral_density
Way of inferring information from cross-covariance matrices
statistics, canonical-correlation analysis (CCA), also called canonical variates analysis, is a way of inferring information from cross-covariance matrices
Canonical_correlation
When a radio signal reaches a remote receiver
Figure 4a (third plot) is the cross-correlation function ( P 1 ⋆ P 0 ) {\displaystyle (P_{1}\star P_{0})} . The cross-correlation function slides one curve
Time_of_arrival
Measure of distance between two proportions
distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics
Cohen's_h
produce three-dimensional data, the Fourier shell correlation (FSC) measures the normalised cross-correlation coefficient between two 3-dimensional volumes
Fourier_shell_correlation
Fluorescence cross-correlation spectroscopy (FCCS) is a spectroscopic technique that examines the interactions of fluorescent particles of different colours
Fluorescence cross-correlation spectroscopy
Fluorescence_cross-correlation_spectroscopy
Concept in probability and statistics
by these two fixed locations. Autoregressive process Correlation Cross-covariance Cross-correlation Noise covariance estimation (as an application example)
Autocovariance
Technique for determining size distribution of particles
the intensity or photon autocorrelation function (also known as photon correlation spectroscopy – PCS or quasi-elastic light scattering – QELS). In the
Dynamic_light_scattering
Comparison of two distributions
"probability plot correlation coefficient" (PPCC plot) is the correlation coefficient between the paired sample quantiles. The closer the correlation coefficient
Q–Q_plot
Method of data analysis
is also related to canonical correlation analysis (CCA). CCA defines coordinate systems that optimally describe the cross-covariance between two datasets
Principal_component_analysis
Class of statistical models
(GEEs) allow for the correlation between observations without the use of an explicit probability model for the origin of the correlations, so there is no explicit
Generalized_linear_model
Statistical measure of variability
distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics
Median_absolute_deviation
Test of normality in frequentist statistics
distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics
Shapiro–Wilk_test
Concept in machine learning
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
Double_descent
Nonparametric test of the null hypothesis
measure of rank correlation known as the rank-biserial correlation. Edward Cureton introduced and named the measure. Like other correlational measures, the
Mann–Whitney_U_test
Diagnostic plot of binary classifier ability
prediction from the real class) and their geometric mean is the Matthews correlation coefficient.[citation needed] Whereas ROC AUC varies between 0 and 1
Receiver operating characteristic
Receiver_operating_characteristic
Processes that maintain quality at a constant level
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
Quality_control
Statistical measure of how far values spread from their average
the average correlation remains constant or converges too. So for the variance of the mean of standardized variables with equal correlations or converging
Variance
Collection of statistical models
formal analysis in a 1918 article on theoretical population genetics, The Correlation Between Relatives on the Supposition of Mendelian Inheritance. His first
Analysis_of_variance
Random variable with multiple component dimensions
]\operatorname {E} [\mathbf {X} ]^{T}} . Similarly for the cross-correlation matrix and the cross-covariance matrix: R X Y = K X Y + E [ X ] E [ Y ] T
Multivariate_random_variable
Statistical measure to determine how suited data is for factor analysis
there are large partial correlations compared to the sum of correlations. In other words, there are widespread correlations which would be a large problem
Kaiser–Meyer–Olkin_test
Type of chart
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
Bar_chart
Measure of covariance of components of a random vector
related to the covariance matrix is the matrix of Pearson product-moment correlation coefficients between each of the random variables in the random vector
Covariance_matrix
Range to estimate an unknown parameter
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
Confidence_interval
Statistic for rank correlation
In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's τ coefficient (after the Greek letter τ, tau), is a statistic
Kendall rank correlation coefficient
Kendall_rank_correlation_coefficient
Statistical test
distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics
Z-test
Type of statistical measure over subsets of a dataset
distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics
Moving_average
Set of statistical processes for estimating the relationships among variables
such procedures is linear regression based on polychoric correlation (or polyserial correlations) between the categorical variables. Such procedures differ
Regression_analysis
Statistical hypothesis test for forecasting
another, first proposed in 1969. Ordinarily, regressions reflect "mere" correlations, but Clive Granger argued that causality in economics could be tested
Granger_causality
Statistical hypothesis test
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
F-test
Statistical test comparing two probability distributions
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
Kolmogorov–Smirnov_test
Unit of information
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
Data
Statistical hypothesis test
signed-rank test, one can use the rank-biserial correlation. If the test statistic T is reported, the rank correlation r is equal to the test statistic T divided
Wilcoxon_signed-rank_test
Term in statistical hypothesis testing
(more data tends to provide more power), and the effect size (effects or correlations that are large relative to the variability of the data tend to provide
Power_(statistics)
Method used in statistics, pattern recognition, and other fields
Structure Correlation Coefficients: The correlation between each predictor and the discriminant score of each function. This is a zero-order correlation (i.e
Linear_discriminant_analysis
Statistics applied to risk in insurance and other financial products
personnel. Whether this is statistically correct or a self-fulfilling correlation remains under debate. Another example is the use of actuarial models
Actuarial_science
Study of collection and analysis of data
Chi-squared test Correlation Factor analysis Mann–Whitney U Mean square weighted deviation (MSWD) Pearson product-moment correlation coefficient Regression
Statistics
Measure of statistical dispersion
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
Interquartile_range
Type of mathematical model
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
Statistical_model
Statistical property
ordinary least squares is inefficient for a different reason: serial correlation. A = σ 2 [ 1 0 0 0 1 0 0 0 1 ] B = σ 2 [ 1 0 0 0 2 0 0 0 3 ] C = σ 2
Homoscedasticity and heteroscedasticity
Homoscedasticity_and_heteroscedasticity
Concept in inferential statistics
between two means in units of standard deviation (cf. Cohen's d), the correlation coefficient between two variables or its square, and other measures.
Statistical_significance
Statistical interpretation with many tests
On the other hand, the approach remains valid even in the presence of correlation among the test statistics, as long as the Poisson distribution can be
Multiple_comparisons_problem
Statistical property
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
Standard_error
Relationship between items in a set
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
Ranking
Series of questions for gathering information
(2018-07-25). "Introduction: Translation of questionnaires in cross-national and cross-cultural research". Translation & Interpreting. 10 (2): 1–4. doi:10
Questionnaire
YaDICs is a program written to perform digital image correlation on 2D and 3D tomographic images. The program was designed to be both modular, by its
YaDICs
Statistical phenomenon
{y}}-{\hat {\beta }}\,{\bar {x}},\end{aligned}}} where rxy is the sample correlation coefficient between x and y, sx is the standard deviation of x, and sy
Regression_toward_the_mean
Position that there is no relationship between two phenomena
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
Null_hypothesis
Value that appears most often in a set of data
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
Mode_(statistics)
Number of values in the final calculation of a statistic that are free to vary
would involve an observation covariance matrix Σ indicating the non-zero correlation among observations. The more general formulation of effective degree
Degrees of freedom (statistics)
Degrees_of_freedom_(statistics)
Function describing the distribution of galaxies in the universe
astronomy, a correlation function describes the distribution of objects (often stars or galaxies) in the universe. By default, "correlation function" refers
Correlation function (astronomy)
Correlation_function_(astronomy)
above SRP objective function can be expressed as a sum of generalized cross-correlations (GCCs) for the different microphone pairs at the time-lag corresponding
Steered-response_power
Criterion for model selection
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
Bayesian information criterion
Bayesian_information_criterion
Non-parametric statistic used to estimate the survival function
distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics
Kaplan–Meier_estimator
Type of study based on universal sampling
research, epidemiology, social science, and biology, a cross-sectional study (also known as a cross-sectional analysis, transverse study, prevalence study)
Cross-sectional_study
Data visualization
The unusual percentiles 2%, 9%, 91%, 98% are sometimes used for whisker cross-hatches and whisker ends to depict the seven-number summary. If the data
Box_plot
Statistical hypothesis test
t_{\text{score}}={\frac {r{\sqrt {n-2}}}{\sqrt {1-r^{2}}}},} where r is the Pearson correlation coefficient. The tscore, intercept can be determined from the tscore
Student's_t-test
Interpretation of probability
distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics
Bayesian_probability
Measure of the shape of a function
distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics
Moment_(mathematics)
Method of quality control
distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics
Statistical_process_control
Experiment methodology
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
A/B_testing
Statistic which divides a data set into 100 parts and analyzes it as a percentage
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
Percentile
Scientific procedure performed to validate a hypothesis
discerned. The degree to which this is possible depends on the observed correlation between explanatory variables in the observed data. When these variables
Experiment
of correlation measures the timespan over which there is appreciable autocorrelation or cross-correlation in stochastic processes. The correlation coefficient
Life-time_of_correlation
Statistical test that compares goodness of fit
distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics
Likelihood-ratio_test
Distinction between nominal, ordinal, interval and ratio variables
standard deviation is not allowed). Those restrictions would imply that correlations can only be evaluated using rank order methods, and statistical significance
Level_of_measurement
Generates a forecast of future values of a time series
distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics
Exponential_smoothing
Model of differential privacy
protection, a personalized differential privacy protection method based on cross-correlation constraints is proposed by researcher Hu. By protecting sensitive
Local_differential_privacy
Mathematical relation assigning a probability event to a cost
distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics
Loss_function
Mathematical image techniques
been extended to almost any imaging technology. The concept of using cross-correlation to measure shifts in datasets has been known for a long time, and
Digital image correlation and tracking
Digital_image_correlation_and_tracking
Type of average of a collection of numbers
Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional
Arithmetic_mean
Statistical considerations on how many observations to make
distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics
Sample_size_determination
Techniques to study geometric data
One of the recent methods is presented by Tahmasebi et al. uses a cross-correlation function to improve the spatial pattern reproduction. They call their
Spatial_analysis
Statistical hypothesis test
distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics
Chi-squared_test
CROSS CORRELATION
CROSS CORRELATION
Surname or Lastname
English
English : nickname from Old French, Middle English cras ‘big’, ‘fat’ (Latin crassus).Possibly an altered spelling of German Krass.
Boy/Male
American, Australian, British, Chinese, Christian, English, French, Gaelic, German, Irish, Latin, Scandinavian, Scottish, Teutonic
Red Haired; Headland; Red; Surname; Wood; Rose; Having a Big Heart
Boy/Male
German American Scottish Shakespearean Teutonic
Red. Surname.
Boy/Male
Basque
Holy cross.
Surname or Lastname
Scottish and English (of Norman origin)
Scottish and English (of Norman origin) : habitational name for someone from Rots near Caen in Normandy, probably named with the Germanic element rod ‘clearing’. Compare Rhodes. This was the original home of a family de Ros, who were established in Kent in 1130.Scottish and English : habitational name from any of various places called Ross or Roos(e), deriving the name from Welsh rhós ‘upland’ or moorland, or from a British ancestor of this word, which also had the sense ‘promontory’. This is the sense of the cognate Gaelic word ros. Known sources of the surname include Roos in Humberside (formerly in East Yorkshire) and the region of northern Scotland known as Ross. Other possible sources are Ross-on-Wye in Herefordshire, Ross in Northumbria (which is on a promontory), and Roose in LancashireEnglish and German : from the Germanic personal name Rozzo, a short form of the various compound names with the first element hrÅd ‘renown’, introduced into England by the Normans in the form Roce.German and Jewish (Ashkenazic) : metonymic occupational name for a breeder or keeper of horses, from Middle High German ros, German Ross ‘horse’; perhaps also a nickname for someone thought to resemble a horse or a habitational name for someone who lived at a house distinguished by the sign of a horse.Jewish : Americanized form of Rose 3.
Boy/Male
English
By the cross.
Girl/Female
Spanish
Holy cross.
Boy/Male
English Norse Teutonic
By the cross.
Surname or Lastname
English
English : topographic name for someone who lived near a stone cross set up by the roadside or in a marketplace, from Old Norse kross (via Gaelic from Latin crux, genitive crucis), which in Middle English quickly and comprehensively displaced the Old English form crūc (see Crouch). In a few cases the surname may have been given originally to someone who lived by a crossroads, but this sense of the word seems to have been a comparatively late development. In other cases, the surname (and its European cognates) may have denoted someone who carried the cross in processions of the Christian Church, but in English at least the usual word for this sense was Crozier.Irish : reduced form of McCrossen.In North America this name has absorbed examples of cognate names from other languages, such as French Lacroix.
Boy/Male
English
Literally 'cross land'.
Boy/Male
Armenian
Small cross.
Surname or Lastname
English
English : variant of Close 1.German : variant of Kloss.
Surname or Lastname
English and Irish
English and Irish : variant spelling of Cross.
Boy/Male
Christian & English(British/American/Australian)
Wood
Boy/Male
American, Australian, Chinese, Latin, Spanish
Cross
Boy/Male
English
Literally 'cross land'.
Male
Italian
Short form of Italian Crocifisso, or Croccifixio, CROSS means "cross; crucifix" or "way of the cross."
Surname or Lastname
German and Jewish (Ashkenazic)
German and Jewish (Ashkenazic) : nickname for a big man, from Middle High German grÅz ‘large’, ‘thick’, ‘corpulent’, German gross. The Jewish name has been Hebraicized as Gadol, from Hebrew gadol ‘large’.English : nickname for a big man, from Middle English, Old French gros (Late Latin grossus, of Germanic origin, thus etymologically the same word as in 1 above). The English vocabulary word did not develop the sense ‘excessively fat’ until the 16th century.
Male
English
Scottish surname transferred to forename use, derived from the Gaelic word ros, ROSS means "headland, promontory."
Boy/Male
African, Hindu, Indian
To Cross
CROSS CORRELATION
CROSS CORRELATION
Boy/Male
Arabic
Orator; Speaker
Boy/Male
Hindu, Indian
Features
Girl/Female
Gujarati, Indian, Traditional
Strength
Surname or Lastname
English
English : variant of Hickman.
Girl/Female
Indian, Punjabi, Sikh
Affairs; Marriage
Boy/Male
Indian
Small
Boy/Male
Hindu
One who has yellow colored body
Boy/Male
Tamil
Kirthik | கீரà¯à®¤à®¿à®•
God Murugan, Nakshatra
Boy/Male
Hindu, Indian, Sanskrit
Cow-herder
Boy/Male
English Scottish
Abbreviation of names beginning with 'Ken-'.
CROSS CORRELATION
CROSS CORRELATION
CROSS CORRELATION
CROSS CORRELATION
CROSS CORRELATION
p. pr. & vb. n.
of Cross-examine
n.
A piece of money stamped with the figure of a cross, also, that side of such a piece on which the cross is stamped; hence, money in general.
n.
Same as Cross-spale.
n.
Alt. of Cross-spall
n.
See Cross, n.
n.
A monument in the form of a cross, or surmounted by a cross, set up in a public place; as, a market cross; a boundary cross; Charing Cross in London.
n.
A line drawn across or through another line.
prep.
Athwart; across.
n.
See Cross, n.
superl.
Great; palpable; serious; vagrant; shameful; as, a gross mistake; gross injustice; gross negligence.
imp. & p. p.
of Cross-examine
n.
One who cross-examines or conducts a crosse-examination.
imp. & p. p.
of Cross-question
superl.
Whole; entire; total; without deduction; as, the gross sum, or gross amount, the gross weight; -- opposed to net.
v. t.
To lay or draw something, as a line, across; as, to cross the letter t.
v. t.
To put across or athwart; to cause to intersect; as, to cross the arms.
v. t.
To cancel by marking crosses on or over, or drawing a line across; to erase; -- usually with out, off, or over; as, to cross out a name.
p. pr. & vb. n.
of Cross-question
n.
One of the temporary wooden braces, placed horizontally across a frame to hold it in position until the deck beams are in; a cross-pawl.
a.
Made in an opposite direction, or an inverse relation; mutually inverse; interchanged; as, cross interrogatories; cross marriages, as when a brother and sister marry persons standing in the same relation to each other.