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Type of statistical model
Simultaneous equations models are a type of statistical model in which the dependent variables are functions of other dependent variables, rather than
Simultaneous_equations_model
Set of equations to be solved together
mathematics, a set of simultaneous equations, also known as a system of equations or an equation system, is a finite set of equations for which common solutions
System_of_equations
Form of causal modeling that fit networks of constructs to data
squares path modeling – Method for structural equation modeling Partial least squares regression – Statistical method Simultaneous equations model – Type of
Structural_equation_modeling
Statistics method
method is to have, or to find, a set of simultaneous equations involving both the sample data and the unknown model parameters which are to be solved in
Estimating_equations
Set of statistical processes for estimating the relationships among variables
Minimization of this function results in a set of normal equations, a set of simultaneous linear equations in the parameters, which are solved to yield the parameter
Regression_analysis
theoretical economic models. The term is inherited from the simultaneous equations model. Structural estimation is extensively using the equations from the economics
Structural_estimation
Concept in statistical mathematics
unrelated regression equations (SURE) model, proposed by Arnold Zellner in (1962), is a generalization of a linear regression model that consists of several
Seemingly unrelated regressions
Seemingly_unrelated_regressions
Parameter estimation technique in statistics, particularly econometrics
the estimation of multiple-equation econometric models where the equations have variables in common. Consider a linear model for the supply and demand
Parameter identification problem
Parameter_identification_problem
Class of statistical models
Generalized estimating equations (GEEs) allow for the correlation between observations without the use of an explicit probability model for the origin of the
Generalized_linear_model
Results from a system of equations in econometrics
endogenous variable. Simultaneous equations model#Structural and reduced form System of linear equations Simultaneous equations "Reduced form" is also
Reduced_form
Statistical model to calculate the value of multiple quantities as they change over time
the forces influencing a variable as do structural models with simultaneous equations. The only prior knowledge required is a list of variables which
Vector_autoregression
Statistics concept
x and y value for the i-th data sample. Then the model can be written as a system of linear equations: [ y 1 y 2 y 3 ⋮ y n ] = [ 1 x 1 x 1 2 … x 1 m 1
Polynomial_regression
Statistical property which a model must satisfy to allow precise inference
ε ⊥ η ⊥ x*, then the model becomes identifiable. System identification Structural identifiability Observability Simultaneous equations model Raue, A.; Kreutz
Identifiability
Type of statistical measure over subsets of a dataset
applications in image signal processing. In a moving average regression model, a variable of interest is assumed to be a weighted moving average of unobserved
Moving_average
Several equations of degree 1 to be solved simultaneously
In mathematics, a system of linear equations (or linear system) is a collection of two or more linear equations involving the same variables. For example
System_of_linear_equations
Number of values in the final calculation of a statistic that are free to vary
biologist Ronald Fisher, beginning with his 1922 work on chi squares. In equations, the typical symbol for degrees of freedom is ν (lowercase Greek letter
Degrees of freedom (statistics)
Degrees_of_freedom_(statistics)
Time series model
degrees of freedom, where T ′ {\displaystyle T'} is the number of equations in the model which fits the residuals vs the lags (i.e. T ′ = T − q {\displaystyle
Autoregressive conditional heteroskedasticity
Autoregressive_conditional_heteroskedasticity
Statistical modeling method
distributions and state equations. The combination of swept or unswept matrices provides an alternative method for estimating linear regression models. A large number
Linear_regression
Linear regression model with a single explanatory variable
}}{\widehat {\beta }}} equations. These expanded equations may be derived from the more general polynomial regression equations by defining the regression
Simple_linear_regression
Statistical linear model
general linear model or general multivariate regression model is a compact way of simultaneously writing several multiple linear regression models. In that
General_linear_model
Statistical relationship
in meta-analysis; the most common are Thorndike's case II and case III equations. Various correlation measures in use may be undefined for certain joint
Correlation
Measure of variation in statistics
or std dev, and is most commonly represented in mathematical texts and equations by the lowercase Greek letter σ (sigma). The standard deviation of a random
Standard_deviation
Probabilistic problem-solving algorithm
"Propagation of chaos for a class of non-linear parabolic equations". Lecture Series in Differential Equations, Catholic Univ. 7: 41–57. McKean, Henry P. (1966)
Monte_Carlo_method
Position that there is no relationship between two phenomena
Kessel Publishing. ISBN 978-90-79418-01-5. Efron, B. (2004). "Large-Scale Simultaneous Hypothesis Testing". Journal of the American Statistical Association
Null_hypothesis
Statistical hypothesis test
the Pearson distribution to model the observation and performing a test of goodness of fit to determine how well the model really fits to the observations
Chi-squared_test
Correlation of a signal with a time-shifted copy of itself, as a function of shift
the sample autocorrelation function". Random Operators and Stochastic Equations. 17 (2): 125–130. doi:10.1515/ROSE.2009.008. Hassani, Hossein (2010).
Autocorrelation
Function of the observed sample results
a result", and "does not provide a good measure of evidence regarding a model or hypothesis" without "context or other evidence". That said, a 2019 task
P-value
Unit of information
"Evidence of unreliable data and poor data provenance in clinical prediction model research and clinical practice". BMC Medicine. doi:10.1186/s12916-026-04981-y
Data
Statistical hypothesis test
two models, 1 and 2, where model 1 is 'nested' within model 2. Model 1 is the restricted model, and model 2 is the unrestricted one. That is, model 1 has
F-test
Interpretation of probability
Bayesian updating follows from several axioms, including two functional equations and a hypothesis of differentiability. The assumption of differentiability
Bayesian_probability
Statistical test comparing two probability distributions
1080/10485250902952435. S2CID 120038970. Marozzi, Marco (2013). "Nonparametric Simultaneous Tests for Location and Scale Testing: a Comparison of Several Methods"
Kolmogorov–Smirnov_test
Data visualization
Errors and residuals Regression validation Mixed effects models Simultaneous equations models Multivariate adaptive regression splines (MARS) Template:Least
Box_plot
Process of using data analysis for predicting population data from sample data
trained model"; in this context inferring properties of the model is referred to as training or learning (rather than inference), and using a model for prediction
Statistical_inference
Type of average of a collection of numbers
Errors and residuals Regression validation Mixed effects models Simultaneous equations models Multivariate adaptive regression splines (MARS) Template:Least
Arithmetic_mean
Measure of statistical dispersion
Errors and residuals Regression validation Mixed effects models Simultaneous equations models Multivariate adaptive regression splines (MARS) Template:Least
Interquartile_range
How many standard deviations apart from the mean an observed datum is
often is not made. In either case, the numerator and denominator of the equations have the same units of measure so that the units cancel out through division
Standard_score
Statistical measure of variability
Errors and residuals Regression validation Mixed effects models Simultaneous equations models Multivariate adaptive regression splines (MARS) Template:Least
Median_absolute_deviation
annealing Simultaneous equation methods (econometrics) Simultaneous equations model Single equation methods (econometrics) Single-linkage clustering Singular
List_of_statistics_articles
Range to estimate an unknown parameter
Errors and residuals Regression validation Mixed effects models Simultaneous equations models Multivariate adaptive regression splines (MARS) Template:Least
Confidence_interval
Statistic which divides a data set into 100 parts and analyzes it as a percentage
or low. In finance, value at risk is a standard measure to assess (in a model-dependent way) the quantity under which the value of the portfolio is not
Percentile
Measure of the joint variability
producing the g factor. Another is to personality, with models like the five factor model being derived from principal component analysis. Algorithms
Covariance
Relative measure of dispersion expressed as the ratio of standard deviation to the mean
ANOVA gauge R&R,[citation needed] by economists and investors in economic models, in epidemiology, and in psychology/neuroscience. The coefficient of variation
Coefficient_of_variation
Measure of covariance of components of a random vector
correspond to the coefficients obtained by inverting the matrix of the normal equations of ordinary least squares (OLS). A covariance matrix with all non-zero
Covariance_matrix
Theory and technique of psychological measurement
Structural Equation Modeling: Foundations and Extensions, 2nd ed. Sage. DeMars, Christine E. (2013-10-01). "A Tutorial on Interpreting Bifactor Model Scores"
Psychometrics
Middle quantile of a data set or probability distribution
estimator of the population median. If data is represented by a statistical model specifying a particular family of probability distributions, then estimates
Median
Nonparametric test of the null hypothesis
exchangeability. The Mann–Whitney U test is a special case of the proportional odds model, allowing for covariate-adjustment. See also Kolmogorov–Smirnov test. The
Mann–Whitney_U_test
Apparent lack of pattern or predictability in events
Errors and residuals Regression validation Mixed effects models Simultaneous equations models Multivariate adaptive regression splines (MARS) Template:Least
Randomness
Statistical method for handling multiple comparisons
a simultaneous coverage at a 1 − α {\displaystyle 1-\alpha } level for all of the parameters considered in the problem. Intervals with simultaneous coverage
False_discovery_rate
Collection of statistical models
OL 6477125M. "Solution of Equations by Determining the Values of the Unknown Function on a Dense Set". Lectures on Functional Equations their and Applications
Analysis_of_variance
Processes that maintain quality at a constant level
Errors and residuals Regression validation Mixed effects models Simultaneous equations models Multivariate adaptive regression splines (MARS) Template:Least
Quality_control
Tools to represent statistical uncertainty
Piegorsch W.W. (2008). "Construction of Exact Simultaneous Confidence Bands for a Simple Linear Regression Model". International Statistical Review. 76 (1):
Confidence and prediction bands
Confidence_and_prediction_bands
Simultaneous observation and analysis of more than one outcome variable
used to explore multivariate data. Simultaneous equations models involve more than one regression equation, with different dependent variables, estimated
Multivariate_statistics
Statistical interpretation with many tests
Texas sharpshooter fallacy Model selection Look-elsewhere effect Data dredging Birthday problem Miller, R.G. (1981). Simultaneous Statistical Inference 2nd
Multiple_comparisons_problem
Model for generating observable data in probability and statistics
Generative models are a class of computational models frequently used for classification. In machine learning, it typically models the joint distribution
Generative_model
Numeric quantity representing the center of a collection of numbers
Errors and residuals Regression validation Mixed effects models Simultaneous equations models Multivariate adaptive regression splines (MARS) Template:Least
Mean
Experiment methodology
control mechanism. Adaptive control Between-group design experiment Choice modelling Multi-armed bandit Multivariate testing Randomized controlled trial Scientific
A/B_testing
Approximation method in statistics
_{k}\right)=0,} which, on rearrangement, become m simultaneous linear equations, the normal equations: ∑ i = 1 n ∑ k = 1 m J i j J i k Δ β k = ∑ i = 1
Least_squares
Type of mathematical model
statistical model is non-deterministic. Thus, in a statistical model specified via mathematical equations, some of the variables do not have specific values, but
Statistical_model
Graphical representation of the distribution of numerical data
preferred in applications, when their statistical properties need to be modeled. The correlated variation of a kernel density estimate is very difficult
Histogram
Type of bar chart
what the low, base, and high outcomes would be. The sensitive variable is modeled as having an uncertain value while all other variables are held at baseline
Tornado_diagram
Generates a forecast of future values of a time series
exponential smoothing models and ARIMA models with a range of nonseasonal and seasonal p, d, and q values, and selects the model with the lowest Bayesian
Exponential_smoothing
Mathematical function for the probability a given outcome occurs in an experiment
evolution of a system of differential equations (commonly known as the Rabinovich–Fabrikant equations) that can be used to model the behaviour of Langmuir waves
Probability_distribution
Estimator for quality of a statistical model
quality of statistical models for a given set of data. Given a collection of models for the data, AIC estimates the quality of each model, relative to each
Akaike_information_criterion
Statistical hypothesis test
rejected in favor of the alternative hypothesis. Suppose one is fitting the model Y = α + β x + ε , {\displaystyle Y=\alpha +\beta x+\varepsilon ,} where
Student's_t-test
Numerical measure of a statistical relationship between variables
well a statistical model fits observations by summarizing the discrepancy between observed values and the values expected under the model Multiple correlation
Correlation_coefficient
Statistical considerations on how many observations to make
determine an appropriate sample size n for estimating proportions, the equation below can be solved, where W represents the desired width of the confidence
Sample_size_determination
Statistical property
autoregressive conditional heteroscedasticity (ARCH) modeling technique. Consider the linear regression equation y i = x i β i + ε i , i = 1 , … , N , {\displaystyle
Homoscedasticity and heteroscedasticity
Homoscedasticity_and_heteroscedasticity
Design of tasks
discussion of experimental design in the context of model building for models either static or dynamic models, also known as system identification. Laws and
Design_of_experiments
Sequence of data points over time
forecasting is the use of a model to predict future values based on previously observed values. Generally, time series data is modeled as a stochastic process
Time_series
Method of statistical inference
prior probability and a "likelihood function" derived from a statistical model for the observed data. Bayesian inference computes the posterior probability
Bayesian_inference
Statistical phenomenon
line that minimizes the sum of squared residuals of the linear regression model. In other words, numbers α and β solve the following minimization problem:
Regression_toward_the_mean
Method of estimating the parameters of a statistical model, given observations
for the likelihood equations. Whether the identified root θ ^ {\displaystyle \,{\widehat {\theta \,}}\,} of the likelihood equations is indeed a (local)
Maximum_likelihood_estimation
Method of logical reasoning
suggested when they exhibit what Whewell termed consilience—that is, simultaneously predicting the inductive generalizations in multiple areas—a feat that
Inductive_reasoning
Concept in inferential statistics
Errors and residuals Regression validation Mixed effects models Simultaneous equations models Multivariate adaptive regression splines (MARS) Template:Least
Statistical_significance
Value that appears most often in a set of data
= find(diff([X, realmax]) > 0); % indices where repeated values change [modeL,i] = max (diff([0, indices])); % longest persistence length of repeated
Mode_(statistics)
Scientific procedure performed to validate a hypothesis
statistical model that reflects an objective randomization, the statistical analysis relies on a subjective model. Inferences from subjective models are unreliable
Experiment
Measure of the shape of a function
Errors and residuals Regression validation Mixed effects models Simultaneous equations models Multivariate adaptive regression splines (MARS) Template:Least
Moment_(mathematics)
Method of data analysis
Subsequent principal components can be computed one-by-one via deflation or simultaneously as a block. In the former approach, imprecisions in already computed
Principal_component_analysis
of a finite set are equally likely. This is the theoretical distribution model for a balanced coin, an unbiased die, a casino roulette, or the first card
List of probability distributions
List_of_probability_distributions
Type of chart
Errors and residuals Regression validation Mixed effects models Simultaneous equations models Multivariate adaptive regression splines (MARS) Template:Least
Bar_chart
Statistical measure of how far values spread from their average
is part of a theoretical probability distribution and is defined by an equation. The other variance is a characteristic of a set of observations. When
Variance
Function related to statistics and probability theory
of independent events. The equations defined by the stationary point of the score function serve as estimating equations for the maximum likelihood estimator
Likelihood_function
Statistical sampling technique
into equally probable subspaces. All sample points are then chosen simultaneously making sure that the total set of sample points is a Latin hypercube
Latin_hypercube_sampling
Statistical measure of association
the absolute value of Phi coefficient. Let a sample of size n of the simultaneously distributed variables A {\displaystyle A} and B {\displaystyle B} for
Cramér's_V
Distinction between nominal, ordinal, interval and ratio variables
1293. PMID 11178923. S2CID 12231599. Luce, R. D.; Tukey, J. W. (1964). "Simultaneous conjoint measurement: a new scale type of fundamental measurement". Journal
Level_of_measurement
Business advantage
"Pioneering and profitability: structural estimates from a nonlinear simultaneous equations model with endogenous pioneering". Research Paper, Fuqua School of
First-mover_advantage
Statistical test that compares goodness of fit
that involves comparing the goodness of fit of two competing statistical models, typically one found by maximization over the entire parameter space and
Likelihood-ratio_test
Inverse of the average of the inverses of a set of numbers
the three crystallographic directions. As for other optic equations, the thin lens equation 1/f = 1/u + 1/v can be rewritten such that the focal
Harmonic_mean
Class of statistical survival models
Proportional hazards models are a class of survival models in statistics. Survival models relate the time that passes, before some event occurs, to one
Proportional_hazards_model
Distribution of an uncertain quantity
to time t {\displaystyle t} yields zero (with the help of Hamilton's equations): The volume at time t {\displaystyle t} is the same as at time zero.
Prior_probability
Term in statistical hypothesis testing
Errors and residuals Regression validation Mixed effects models Simultaneous equations models Multivariate adaptive regression splines (MARS) Template:Least
Power_(statistics)
Statistic measuring inter-rater agreement for categorical items
account" chance agreement. To do this effectively would require an explicit model of how chance affects rater decisions. The so-called chance adjustment of
Cohen's_kappa
Concepts from statistical hypothesis testing
{X}}} In addition, we suppose that the measurements X1, X2, X3 are modeled as normal distribution N(μ,2). Then, T should follow N(μ,2/ 3 {\displaystyle
Type_I_and_type_II_errors
Statistical property
Tripathi (1971) provide a correction and equation for this effect. Sokal and Rohlf (1981) give an equation of the correction factor for small samples
Standard_error
System where changes of output are not proportional to changes of input
system of equations, which is a set of simultaneous equations in which the unknowns (or the unknown functions in the case of differential equations) appear
Nonlinear_system
Nonparametric measure of rank correlation
coefficient. The coefficient can be used to determine how well data fits a model, like when determining the similarity of text documents. The Spearman correlation
Spearman's rank correlation coefficient
Spearman's_rank_correlation_coefficient
Diagnostic plot of binary classifier ability
graphical plot that illustrates the performance of a binary classifier model (although it can be generalized to multiple classes) at varying threshold
Receiver operating characteristic
Receiver_operating_characteristic
Fourth standardized moment in statistics
fourth-power binomial coefficients (1, 4, 6, 4, 1) appear in the above equation. The interpretation of the Pearson measure of kurtosis (or excess kurtosis)
Kurtosis
Grouping a set of objects by similarity
impossible for any clustering method to meet three fundamental properties simultaneously: scale invariance (results remain unchanged under proportional scaling
Cluster_analysis
Mathematical relation assigning a probability event to a cost
an example. In actuarial science, it is used in an insurance context to model benefits paid over premiums, particularly since the works of Harald Cramér
Loss_function
SIMULTANEOUS EQUATIONS-MODEL
SIMULTANEOUS EQUATIONS-MODEL
Boy/Male
Muslim
Model, Example
Boy/Male
Hindu
Model state of india
Girl/Female
Arabic, Muslim
Example; Model; Demo
Girl/Female
Hindu, Indian, Traditional
Model; Idea
Boy/Male
Arabic, Muslim
Pioneers; Explorers; Guides; Leaders; Models
Male
Japanese
(æ£å‰‡) Japanese name MASANORI means "model of justice."
Surname or Lastname
English and Dutch
English and Dutch : from the medieval personal name Benedict (Latin Benedictus meaning ‘blessed’). This owed its popularity in the Middle Ages chiefly to St. Benedict of Norcia (c.480–550), who founded the Benedictine order of monks at Monte Cassino and wrote a monastic rule that formed a model for all subsequent rules. No doubt the meaning of the Latin word also contributed to its popularity as a personal name, especially in Romance countries.
Boy/Male
Arabic, Muslim
Model; Example
Surname or Lastname
English and French
English and French : nickname for a tall person, from Old English lang, long, Old French long ‘long’, ‘tall’ (equivalent to Latin longus).Irish (Ulster (Armagh) and Munster) : reduced Anglicized form of Gaelic Ó Longáin (see Langan).Chinese : from the name of an official treasurer called Long, who lived during the reign of the model emperor Shun (2257–2205 bc). his descendants adopted this name as their surname. Additionally, a branch of the Liu clan (see Lau 1), descendants of Liu Lei, who supposedly had the ability to handle dragons, was granted the name Yu-Long (meaning roughly ‘resistor of dragons’) by the Xia emperor Kong Jia (1879–1849 bc). Some descendants later simplified Yu-Long to Long and adopted it as their surname.Chinese : there are two sources for this name. One was a place in the state of Lu in Shandong province during the Spring and Autumn period (722–481 bc). The other source is the Xiongnu nationality, a non-Han Chinese people.Chinese : variant of Lang.Cambodian : unexplained.
Surname or Lastname
English and Irish (of Norman origin), and northern French
English and Irish (of Norman origin), and northern French : habitational name from any of several places in northern France, such as Nogent-sur-Oise, named with Latin Novientum, apparently an altered form of a Gaulish name meaning ‘new settlement’.The Anglo-Norman family of this name is descended from Fulke de Bellesme, lord of Nogent in Normandy, who was granted large estates around Winchester after the Conquest. His great-grandson was Hugh de Nugent (died 1213), who went to Ireland with Hugh de Lacy, and was granted lands in Bracklyn, County Westmeath. The family formed itself into a clan on the Irish model, of which the chief bore the hereditary title of Uinsheadun (Irish Uinnseadún), from their original seat at Winchester. They have been Earls of Westmeath since 1621. The name is now a common one in Ireland, and has been adopted there by some who have no connection with the clan.
Surname or Lastname
German
German : habitational name from any of several places so named, for example in Westphalia and Switzerland.German : nickname from Middle High German heiden ‘heathen’, Old High German heidano, apparently a derivative of heida ‘heath’, modeled on Latin paganus (see Pain 1). The nickname was sometimes used to refer to a Christian knight who had been on a Crusade to fight in the Holy Land.Jewish (Ashkenazic) : of uncertain origin; possibly a shortened form of any of various ornamental names formed with German Heide- ‘heath’, for example Heidenberg, Heidenkorn, Heidenkrug, Heidenwurzel.English : variant spelling of Hayden.Dutch : shortened form of vanderHeiden.
Boy/Male
Celebrity, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Punjabi, Sanskrit, Sikh, Tamil, Telugu, Traditional
New; Role Model of World; Ever Fresh
Girl/Female
Czech, Czechoslovakian, Danish, Finnish, German, Hebrew, Irish, Jewish, Polish
Friend; Beautiful; Model of Righteous Convert; Friendship
Girl/Female
Christian & English(British/American/Australian)
Model or Pattern
Boy/Male
Arabic, Muslim
Sample; Model; Paragon
Boy/Male
Tamil
Ayilyam | அயீலà¯à®¯à®®
Model state of india
Ayilyam | அயீலà¯à®¯à®®
Boy/Male
Muslim
Sample, Model, Paragon
Surname or Lastname
English and Scottish
English and Scottish : occupational name for a stonemason, Middle English, Old French mas(s)on. Compare Machen. Stonemasonry was a hugely important craft in the Middle Ages.Italian (Veneto) : from a short form of Masone.French : from a regional variant of maison ‘house’.George Mason (1725–92), the American colonial statesman who framed the VA Bill of Rights and Constitution, which was used as a model by Thomas Jefferson when drafting the Declaration of Independence, was a VA planter, fourth in descent from George Mason (?1629–?86), a royalist soldier of the English Civil War who had received land grants in VA. As well as being prominent in the affairs of VA, the family also produced the first governor of MI.
Female
Japanese
(1-儀, 2-典, 3-則, 4-法) Japanese unisex name NORI means 1) "ceremony, regalia," 2) "code, precedent," 3) "model, rule, standard," 4) "law, rule."
Boy/Male
Egyptian
To model.
SIMULTANEOUS EQUATIONS-MODEL
SIMULTANEOUS EQUATIONS-MODEL
Girl/Female
Indian
Slave, Maid servant, Female servant
Boy/Male
Hindu
Name of one prophet, God is God
Girl/Female
Latin American
A girdle.
Surname or Lastname
English
English : from the personal name Chad, from the Old English personal name Ceadda, of unknown origin. St. Chad was a 7th-century archbishop of York.Indian (Gujarat) : Hindu (Bhatia) name of unknown meaning.
Boy/Male
Hindu, Indian, Punjabi, Sikh
God of Sky
Boy/Male
Hindu, Indian, Marathi
Inspirer; Another Name of Kalidas
Girl/Female
Muslim
Gazelle, A young deer
Girl/Female
Hindu
Safety, Security, Welfare, Tranquility, Goddess Durga
Boy/Male
Arabic, Muslim
Brightness of the Faith
Girl/Female
Greek
Swallow.
SIMULTANEOUS EQUATIONS-MODEL
SIMULTANEOUS EQUATIONS-MODEL
SIMULTANEOUS EQUATIONS-MODEL
SIMULTANEOUS EQUATIONS-MODEL
SIMULTANEOUS EQUATIONS-MODEL
a.
Existing, happening, or done, at the same time; as, simultaneous events.
n.
A making equal; equal division; equality; equilibrium.
n.
The quality or state of being simultaneous; simultaneousness.
a.
Happening at, or belonging to, the same time; synchronous; simultaneous.
n.
A simultaneous discharge of firearms.
n.
An identical equation.
n.
A salute paid by a simultaneous, or nearly simultaneous, firing of a number of cannon.
v. i.
To agree in time; to be simultaneous.
a.
Happening at the same time; simultaneous.
n.
An expression of the condition of equality between two algebraic quantities or sets of quantities, the sign = being placed between them; as, a binomial equation; a quadratic equation; an algebraic equation; a transcendental equation; an exponential equation; a logarithmic equation; a differential equation, etc.
n.
The simultaneous maturity of the anthers and stigmas of a blossom.
n.
Harmony; an accordant combination of simultaneous tones.
n.
A quantity to be applied in computing the mean place or other element of a celestial body; that is, any one of the several quantities to be added to, or taken from, its position as calculated on the hypothesis of a mean uniform motion, in order to find its true position as resulting from its actual and unequal motion.
n.
That branch of algebra which treats of quadratic equations.
prep.
To denote simultaneous happening, or immediate succession or consequence.
v. t.
To shoot down of shoot at by a simultaneous discharge of firearms.
adv.
At the same time; simultaneously.
n.
Act of causing a quantity to disappear from an equation; especially, in the operation of deducing from several equations containing several unknown quantities a less number of equations containing a less number of unknown quantities.
v. i.
To sing in chorus; to exclaim simultaneously.
n.
A biquadratic equation.