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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
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
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
Numerical measure of a statistical relationship between variables
{\displaystyle \sum x^{2}} and ∑ y 2 {\displaystyle \sum y^{2}} are the sums of squared x-scores and squared y-scores. Intraclass correlation (ICC) is a descriptive
Correlation_coefficient
Covariance and correlation
cross-correlation of f ( − t ) ¯ {\displaystyle {\overline {f(-t)}}} and g ( t ) {\displaystyle g(t)} ) gives the probability density function of the sum X
Cross-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
Descriptive statistic
In statistics, the intraclass correlation, or the intraclass correlation coefficient (ICC), is a descriptive statistic that can be used when quantitative
Intraclass_correlation
Statistic comparing ordinal rankings
of discordant pairs (see Kendall tau rank correlation coefficient). The sum ∑ a i j 2 {\displaystyle \sum a_{ij}^{2}} is just n ( n − 1 ) / 2 {\displaystyle
Rank_correlation
Concept in probability theory and statistics
In probability theory and statistics, partial correlation measures the degree of association between two random variables, with the effect of a set of
Partial_correlation
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
In chaos theory, the correlation sum is the estimator of the correlation integral, which reflects the mean probability that the states at two different
Correlation_sum
Statistical measure of association for two binary variables
one of the four sums in the denominator is zero, the denominator can be arbitrarily set to one; this results in a Matthews correlation coefficient of zero
Phi_coefficient
Nonparametric test of the null hypothesis
U} test (also called the Mann–Whitney–Wilcoxon (MWW/MWU), Wilcoxon rank-sum test, or Wilcoxon–Mann–Whitney test) is a nonparametric statistical test
Mann–Whitney_U_test
Statistical concept
c {\displaystyle \mathbf {c} ^{\top }\,\mathbf {c} } , the sum of the squared correlations with the dependent variable. If the predictor variables are
Coefficient of multiple correlation
Coefficient_of_multiple_correlation
The correlation ratio η (eta) is defined as to satisfy η 2 = ∑ x n x ( y ¯ x − y ¯ ) 2 ∑ x , i ( y x i − y ¯ ) 2 {\displaystyle \eta ^{2}={\frac {\sum _{x}n_{x}({\overline
Correlation_ratio
Indicator for how well data points fit a line or curve
(which includes an intercept), r2 is simply the square of the sample correlation coefficient (r), between the observed outcomes and the observed predictor
Coefficient_of_determination
Correlation coefficient used when one variable is dichotomous
The point biserial correlation coefficient (rpb) is a correlation coefficient used when one variable (e.g. Y) is dichotomous; Y can either be "naturally"
Point-biserial correlation coefficient
Point-biserial_correlation_coefficient
In statistics, a measurement of the agreement between two variables
{\displaystyle s_{xy}={\frac {1}{N}}\sum _{n=1}^{N}(x_{n}-{\bar {x}})(y_{n}-{\bar {y}}).} Whereas the ordinary correlation coefficient (Pearson's) is immune
Concordance correlation coefficient
Concordance_correlation_coefficient
Statistical measure of a dendrogram's faithfulness to the data
statistics, and especially in biostatistics, cophenetic correlation (more precisely, the cophenetic correlation coefficient) is a measure of how faithfully a dendrogram
Cophenetic_correlation
Statistical measure of the discrepancy between data and an estimation model
− y i ) 2 . {\displaystyle S_{yy}=\sum _{i=1}^{n}({\bar {y}}-y_{i})^{2}.} The Pearson product-moment correlation is given by r = S x y S x x S y y ;
Residual_sum_of_squares
total correlation is the amount of information shared among the variables in the set. The sum ∑ i = 1 n H ( X i ) {\displaystyle {\begin{matrix}\sum
Total_correlation
Linear regression model with a single explanatory variable
to make the sum of these squared deviations as small as possible. In this case, the slope of the fitted line is equal to the correlation between y and
Simple_linear_regression
Method of partitioning data points into groups based on their similarity
partitioning data points into groups based on similarity or dissimilarity. Correlation clustering is a clustering framework in which a set of objects is partitioned
Correlation_clustering
Statistical measure
In statistics and in probability theory, distance correlation is a measure of dependence between two paired random vectors of arbitrary, not necessarily
Distance_correlation
Sequence of data points over time
measures Measures based on the correlation sum Correlation dimension Correlation integral Correlation density Correlation entropy Approximate entropy Sample
Time_series
Measure of the joint variability
not necessarily have the same units. In those situations, we use the correlation coefficient, which normalizes the covariance to a value between -1 and
Covariance
delay. The correlation integral is used to estimate the correlation dimension. An estimator of the correlation integral is the correlation sum: C ( ε )
Correlation_integral
Expectation value of time-ordered quantum operators
]}} using its Taylor series, the n-point correlation function becomes a sum of interaction picture correlation functions which can be evaluated using Wick's
Correlation function (quantum field theory)
Correlation_function_(quantum_field_theory)
Mathematical image techniques
Digital image correlation and tracking is an optical method that employs tracking and image registration techniques for accurate 2D and 3D measurements
Digital image correlation and tracking
Digital_image_correlation_and_tracking
Statistical measure of how far values spread from their average
absolute deviation; for example, the variance of a sum of uncorrelated random variables is equal to the sum of their variances. A disadvantage of the variance
Variance
Mapping of data into a single system
Common examples of image similarity measures include cross-correlation, mutual information, sum of squared intensity differences, and ratio image uniformity
Image_registration
Statistical method
diagonals of the correlation matrix; FA adjusts the diagonals of the correlation matrix with the unique factors. PCA minimizes the sum of squared perpendicular
Factor_analysis
Statistical hypothesis test
rank-biserial correlation. If the test statistic T is reported, the rank correlation r is equal to the test statistic T divided by the total rank sum S, or r = T/S
Wilcoxon_signed-rank_test
Method of analysing a dynamical system
specific state will recur. It is almost equal with the definition of the correlation sum, where the LOI is excluded from the computation. The next measure is
Recurrence quantification analysis
Recurrence_quantification_analysis
Mathematical framework for investment risk
individual variances of the assets themselves. In reality, most assets have a correlation 0 < ρ < 1 {\displaystyle 0<\rho <1} . Markowitz proved that as long as
Modern_portfolio_theory
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
Set of statistical processes for estimating the relationships among variables
least squares computes the unique line (or hyperplane) that minimizes the sum of squared differences between the true data and that line (or hyperplane)
Regression_analysis
Statistical measure of the magnitude of a phenomenon
deviations within each groups. SS is the sum of squares in ANOVA. Another measure that is used with correlation differences is Cohen's q. This is the difference
Effect_size
Procedure for comparing multivariate sample means
the additional sum of squares explained by adding the grouping information and S res {\textstyle S_{\text{res}}} is the residual sum of squares of the
Multivariate analysis of variance
Multivariate_analysis_of_variance
Integral expressing the amount of overlap of one function as it is shifted over another
cross-correlation: for real-valued functions, of a continuous or discrete variable, convolution f ∗ g {\displaystyle f*g} differs from cross-correlation f
Convolution
Method of data analysis
"remarkable" correlations of the correlation matrix, by a solid line (positive correlation) or dotted line (negative correlation). A strong correlation is not
Principal_component_analysis
Measure of dependence
mutual information. While total correlation is bounded by the sum entropies of the n elements, the dual total correlation is bounded by the joint-entropy
Dual_total_correlation
Statistical modeling method
to use an all positive correlations (APC) arrangement of the strongly correlated variables under which pairwise correlations among these variables are
Linear_regression
produce three-dimensional data, the Fourier shell correlation (FSC) measures the normalised cross-correlation coefficient between two 3-dimensional volumes
Fourier_shell_correlation
Formal fallacy in statistical interpretation
ecological fallacies are: confusion between ecological correlations and individual correlations, confusion between group average and total average, Simpson's
Ecological_fallacy
Description of particle density in statistical mechanics
In statistical mechanics, the radial distribution function, (or pair correlation function) g ( r ) {\displaystyle g(r)} in a system of particles (atoms
Radial_distribution_function
Concept in statistical analysis
of the other variable (possibly the independent variable) (see also correlation and simple linear regression). Bivariate analysis can be contrasted with
Bivariate_analysis
Test statistic
− e t − 1 ) 2 ∑ t = 1 T e t 2 , {\displaystyle d={\sum _{t=2}^{T}(e_{t}-e_{t-1})^{2} \over {\sum _{t=1}^{T}e_{t}^{2}}},} where T {\textstyle T} is the
Durbin–Watson_statistic
Statistical transformation
z-transformation) of a Pearson correlation coefficient is its inverse hyperbolic tangent (artanh). When the sample correlation coefficient r is near 1 or
Fisher_transformation
Way of inferring information from cross-covariance matrices
are correlations among the variables, then canonical-correlation analysis will find linear combinations of X and Y that have a maximum correlation with
Canonical_correlation
Approximation method in statistics
least squares is a method to determine the best-fit model by minimizing the sum of the squared residuals—the differences between observed values and the
Least_squares
Measure of a system's order
mechanics, the correlation function is a measure of the order in a system, as characterized by a mathematical correlation function. Correlation functions describe
Correlation function (statistical mechanics)
Correlation_function_(statistical_mechanics)
In statistics, scaled correlation is a form of a coefficient of correlation applicable to data that have a temporal component such as time series. It
Scaled_correlation
Mathematical model of ferromagnetism in statistical mechanics
total correlation is given by the contribution to the correlation by summing over all paths linking two points, which is bounded above by the sum over
Ising_model
Statistic measuring inter-rater agreement for categorical items
{\displaystyle p_{e}=\sum _{k}{\widehat {p_{k,k}}}\ {\overset {\text{ind.}}{=}}\ \sum _{k}{\widehat {p_{k,\cdot }}}\ {\widehat {p_{\cdot ,k}}}=\sum _{k}{\frac {O_{k
Cohen's_kappa
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
Type of financial derivative
realized correlation formula simplifies to: ρ realized = 2 n ( n − 1 ) ∑ i > j ρ i , j {\displaystyle \rho _{\text{realized }}={\frac {2}{n(n-1)}}\sum _{i>j}{\rho
Correlation_swap
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
Measure of variation in statistics
\left({\frac {1}{N}}\sum _{i=1}^{N}X_{i}\right)={\frac {1}{N^{2}}}\operatorname {var} \left(\sum _{i=1}^{N}X_{i}\right)\\&={\frac {1}{N^{2}}}\sum _{i=1}^{N}\operatorname
Standard_deviation
Effect of variables' uncertainties on the uncertainty of a function based on them
uncertainties are correlated then covariance must be taken into account. Correlation can arise from two different sources. First, the measurement errors may
Propagation_of_uncertainty
Statistical model for a binary dependent variable
) ln ( 1 − p k ) ) {\displaystyle \ell =\sum _{k:y_{k}=1}\ln(p_{k})+\sum _{k:y_{k}=0}\ln(1-p_{k})=\sum _{k=1}^{K}\left(\,y_{k}\ln(p_{k})+(1-y_{k})
Logistic_regression
Data transformation of statistics into rank
include: Friedman test Kruskal–Wallis test Rank products Spearman's rank correlation coefficient Mann–Whitney U test Wilcoxon signed-rank test Van der Waerden
Ranking_(statistics)
Computational quantum mechanical modelling method to investigate electronic structure
a perturbation theory approach the direct correlation function is given by the sum of the direct correlation in a known system such as hard spheres and
Density_functional_theory
Fundamental theorem in probability theory and statistics
{1}{s_{n}^{2+\delta }}}\,\sum _{i=1}^{n}\operatorname {E} \left[\left|X_{i}-\mu _{i}\right|^{2+\delta }\right]=0} is satisfied, then a sum of X i − μ i s n {\textstyle
Central_limit_theorem
Statistical hypothesis test
1 k p i = n {\displaystyle {\begin{aligned}&\sum _{i=1}^{k}{p_{i}}=1\\[8pt]&\sum _{i=1}^{k}{m_{i}}=n\sum _{i=1}^{k}{p_{i}}=n\end{aligned}}} Pearson proposed
Chi-squared_test
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
Quantum-mechanical framework for simulating molecules and solids
_{n\rightarrow \infty }\sum _{j=2}^{n}E_{c}^{\text{GLn}}[n]=\sum _{j=2}^{\infty }E_{j}=E_{c}[n]} and the corresponding correlation potential v c ( r ) =
Görling–Levy perturbation theory
Görling–Levy_perturbation_theory
Representation learning technique
Similarity Correlation Euclidean Distance Distance between ends of vectors | a − b | {\displaystyle |a-b|} ∑ ( a n − b n ) 2 {\displaystyle {\sqrt {\sum
Embedding_(machine_learning)
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
Method of estimating the parameters of a statistical model, given observations
}}^{2}={\frac {1}{n}}\sum _{i=1}^{n}(x_{i}-{\bar {x}})^{2}={\frac {1}{n}}\sum _{i=1}^{n}x_{i}^{2}-{\frac {1}{n^{2}}}\sum _{i=1}^{n}\sum _{j=1}^{n}x_{i}x_{j}
Maximum_likelihood_estimation
Statistical method for handling multiple comparisons
(including the case of negative correlation), c(m) is the harmonic number: c ( m ) = ∑ i = 1 m 1 i {\displaystyle c(m)=\sum _{i=1}^{m}{\frac {1}{i}}} . Note
False_discovery_rate
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
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
Statistical method
distribution, such as percentile points, proportions, Odds ratio, and correlation coefficients. However, despite its simplicity, bootstrapping can be applied
Bootstrapping_(statistics)
Measure of the asymmetry of random variables
{m_{3}}{s^{3}}}={\frac {{\tfrac {1}{n}}\sum _{i=1}^{n}\left(x_{i}-{\bar {x}}\right)^{3}}{\left[{\tfrac {1}{n-1}}\sum _{i=1}^{n}\left(x_{i}-{\bar
Skewness
Measure of dependence between two variables
limited to real-valued random variables and linear dependence like the correlation coefficient, MI is more general and determines how different the joint
Mutual_information
Grouping a set of objects by similarity
subspace clustering and DiSH) and correlation clustering (HiCO, hierarchical correlation clustering, 4C using "correlation connectivity" and ERiC exploring
Cluster_analysis
Statistical measure used in survey research
total of n = ∑ n k {\displaystyle n=\sum n_{k}} observations. The observations have a block diagonal correlation matrix in which every pair of observations
Design_effect
Function for integral Fourier-like transform
wavelet correlates with a signal if a portion of the signal is similar. Correlation is at the core of many practical wavelet applications. As a mathematical
Wavelet
Decomposition of periodic functions
function into a sum of trigonometric functions. The Fourier series is an example of a trigonometric series. By expressing a function as a sum of sines and
Fourier_series
Statistical term
path tracing rules, for calculating the correlation between two variables. The correlation is equal to the sum of the contribution of all the pathways
Path_analysis_(statistics)
Statistical measure of association
of their maximum possible variation. φc2 is the mean square canonical correlation between the variables.[citation needed] In the case of a 2 × 2 contingency
Cramér's_V
Type of statistical measure over subsets of a dataset
{\text{next}}}&={\frac {1}{k}}\sum _{i=n-k+2}^{n+1}p_{i}\\&={\frac {1}{k}}{\Big (}\underbrace {p_{n-k+2}+p_{n-k+3}+\dots +p_{n}+p_{n+1}} _{\sum _{i=n-k+2}^{n+1}p_{i}}+\underbrace
Moving_average
Pattern-recognition performance metrics
{\text{Recall}}={\frac {\sum {\frac {2x_{i}y_{i}}{x_{i}^{2}+y_{i}^{2}}}x_{i}^{2}}{\sum x_{i}^{2}}}} F = ∑ 2 x i y i ∑ x i 2 + y i 2 {\displaystyle F={\frac {\sum 2x_{i}y_{i}}{\sum
Precision_and_recall
Set of rules pertaining to pericyclic reactions
symmetry relationships and stereospecificity. In 1969, they would use correlation diagrams to state a generalized pericyclic selection rule equivalent
Woodward–Hoffmann_rules
Variable representing a random phenomenon
variables, sometimes to construct them, and to define notions such as correlation and dependence or independence based on a joint distribution of two or
Random_variable
Non-parametric method for testing whether samples originate from the same distribution
{Red}N}-1){\frac {\sum _{i=1}^{\color {Orange}g}{\color {ChromeYellow}n_{i}}({\color {Blue}{\bar {r}}_{i\cdot }}-{\color {Purple}{\bar {r}}})^{2}}{\sum _{i=1}^{\color
Kruskal–Wallis_test
Table that displays the frequency of variables
the Theory of Contingency and Its Relation to Association and Normal Correlation", part of the Drapers' Company Research Memoirs Biometric Series I published
Contingency_table
Quantum version of the classical action
spacelike separations. General correlation functions can always be written as a sum of products of connected correlation functions. The quantum effective
Effective_action
Statistical test comparing two probability distributions
{\begin{aligned}\operatorname {Pr} (K\leq x)&=1-2\sum _{k=1}^{\infty }(-1)^{k-1}e^{-2k^{2}x^{2}}\\&={\frac {\sqrt {2\pi }}{x}}\sum _{k=1}^{\infty }e^{-(2k-1)^{2}\pi ^{2}/(8x^{2})}
Kolmogorov–Smirnov_test
Type of Monte Carlo algorithms for signal processing and statistical inference
( y k | ξ k j ) δ ξ k i ( d x k ) {\displaystyle \sum _{i=1}^{N}{\frac {p(y_{k}|\xi _{k}^{i})}{\sum _{j=1}^{N}p(y_{k}|\xi _{k}^{j})}}\delta _{\xi _{k}^{i}}(dx_{k})}
Particle_filter
Chart of correlation statistics
In the analysis of data, a correlogram is a chart of correlation statistics. For example, in time series analysis, a plot of the sample autocorrelations
Correlogram
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
Statistical hypothesis test for the presence of serial correlation
observed data series. In particular, it tests for the presence of serial correlation that has not been included in a proposed model structure and which, if
Breusch–Godfrey_test
Generalization of the one-dimensional normal distribution to higher dimensions
_{Y}}}\right)^{2}\right]\right)} where ρ {\displaystyle \rho } is the correlation between X {\displaystyle X} and Y {\displaystyle Y} and where σ X > 0
Multivariate normal distribution
Multivariate_normal_distribution
Position that there is no relationship between two phenomena
distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics
Null_hypothesis
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
Fourth standardized moment in statistics
{Kurt} [Y]-3={\frac {\sum _{i=1}^{n}\sigma _{i}^{\,4}\cdot \left(\operatorname {Kurt} \left[X_{i}\right]-3\right)}{\left(\sum _{j=1}^{n}\sigma _{j}^{\
Kurtosis
Statistical distribution for dependence between random variables
interval [0, 1]. Copulas are used to describe / model the dependence (inter-correlation) between random variables. Their name, introduced by applied mathematician
Copula_(statistics)
Theory and technique of psychological measurement
relating to measurement theory (e.g., item response theory, intraclass correlation) or specialize as learning and development professionals. The word psychometry
Psychometrics
CORRELATION SUM
CORRELATION SUM
Surname or Lastname
English
English : patronymic from Summer 1.Irish (Sligo) : adopted as an English equivalent of Gaelic Ó Somacháin ‘descendant of Somachán’, a nickname meaning ‘gentle’, ‘innocent’.Americanized form of some like-sounding Ashkenazic Jewish name.
Surname or Lastname
German
German : diminutive of Summer 5.English (Bedfordshire) : unexplained.
Girl/Female
Biblical
Punishment, correction.
Surname or Lastname
English
English : habitational name from Summerfield in Wiltshire.Scottish : variant of Somerville.Americanized form of Ashkenazic Jewish Sommerfeld(t) (see Sommerfeld).
Surname or Lastname
English (Somerset and Gloucestershire)
English (Somerset and Gloucestershire) : probably a variant of Summerhill.
Boy/Male
British, English
From the Summer Town
Surname or Lastname
English and German
English and German : from Middle English sum(m)er, Middle High German sumer ‘summer’, hence a nickname for someone of a warm or sunny disposition, or for someone associated with the season of summer in some other way.English : assimilated variant of Sumner.English : assimilated variant of Sumpter.Irish (Leinster and Munster) : Anglicization (part translation) of Gaelic Ó Samhraidh ‘descendant of Samhradh’, a byname meaning ‘summer’. The Gaelic name is also Anglicized as O’Sawrie, O’Sawra.German : from Middle High German summer ‘woven basket’ and, by extension, a measure of grain; also ‘drum’, hence a metonymic occupational name or nickname from any of these senses.
Surname or Lastname
English
English : habitational name from Somerford in Cheshire, Somerford Keynes in Gloucestershire, or Great and Little Somerford in Wiltshire, named with Old English sumor ‘summer’ + ford ‘ford’, i.e. a place where a river could be forded in the summer.
Surname or Lastname
English
English : patronymic from Summer 1.
Surname or Lastname
English
English : occupational name for a carrier, from Middle English sum(p)ter ‘(driver of a) pack animal’.
Boy/Male
French
From the summer estate.
Biblical
punishment; correction
Surname or Lastname
English
English : variant of Sumpter.Fort Sumter, SC, was named in honor of Thomas Sumter, known as the ‘Gamecock of the Revolution’ for the fear he inspired in the British and Tory forces and the pivotal role he played in key American victories. Born in 1734 near Charlottesville, VA, he was of Welsh heritage; his ancestors probably emigrated to America in the late 17th century.
Surname or Lastname
English
English : occupational name for a summoner, an official who was responsible for ensuring the appearance of witnesses in court, Middle English sumner, sumnor.William Sumner came to Dorchester, MA, from England in about 1635. His descendants include U.S. Senator Charles Sumner, a major force in the struggle to end slavery, who was born in 1811 in Boston.
Boy/Male
English American French
Summoner.
Girl/Female
English American
Born during the summer.
Boy/Male
English
From the summer estate.
Surname or Lastname
English
English : variant or patronymic form of Sumner.
Surname or Lastname
English
English : habitational name from a place named Somerton, usually from Old English sumor ‘summer’ + tūn ‘farmstead’, notably Somerton in Oxfordshire, where the surname is still relatively common. There are also places so named in Somerset and Norfolk which may also have contributed to the surname.
Girl/Female
Muslim
Fruit, Summer fruit
CORRELATION SUM
CORRELATION SUM
Boy/Male
British, English
From the Noblemsn's Land
Male
Greek
(Σίμων) Greek form of Hebrew Shimown, SIMÅŒN means "hearkening." In the bible, this is the name of many characters, including a sorcerer and a brother of Jesus.Â
Girl/Female
American, Australian, French
Dear One; Darling; Similar to Cherie Dear One
Boy/Male
Muslim
High, Safe
Girl/Female
Indian
Goddess Durga ‘s name
Girl/Female
Indian
Purity
Girl/Female
Indian
Earthen water jug
Boy/Male
Indian
Righteous
Girl/Female
Hindu, Indian, Sanskrit
Skill; Skill Talent
Girl/Female
Muslim
A bracelet
CORRELATION SUM
CORRELATION SUM
CORRELATION SUM
CORRELATION SUM
CORRELATION SUM
n.
The act or process of passing, or causing to pass, from a fluid to a solid state, as by the abstraction of heat; the act or process of freezing.
a.
Having or indicating a reciprocal relation.
n.
Correction; chastisement; punishment inflicted by way of correction and training.
n.
Abatement of noxious qualities; the counteraction of what is inconvenient or hurtful in its effects; as, the correction of acidity in the stomach.
n.
The antecedent of a pronoun.
n.
Reciprocal relation; corresponding similarity or parallelism of relation or law; capacity of being converted into, or of giving place to, one another, under certain conditions; as, the correlation of forces, or of zymotic diseases.
n.
The quality or state of being irrelative; want of connection or relation.
a.
Submissive to correction; docile.
n.
The quality of correlation; reciprocation; interchange; interaction; interdependence.
n.
An allowance made for inaccuracy in an instrument; as, chronometer correction; compass correction.
n.
Quality of being correlative.
n.
Emendation; correction.
n.
Mutual or reciprocal relation; correlation.
n.
That which is congealed.
n.
The state of being congealed.
n.
The flowing of different streams into one.
n.
One who, or that which, stands in a reciprocal relation, or is correlated, to some other person or thing.
p. pr. & vb. n.
of Correlate
n.
The act corrugating; contraction into wrinkles or alternate ridges and grooves.
adv.
In a correlative relation.