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Partial correlation of a time series with its lagged values
In time series analysis, the partial autocorrelation function (PACF) gives the partial correlation of a stationary time series with its own lagged values
Partial autocorrelation function
Partial_autocorrelation_function
Correlation of a signal with a time-shifted copy of itself, as a function of shift
the autocorrelation of a real or complex random process is the Pearson correlation between values of the process at different times, as a function of the
Autocorrelation
Method to find best fit of a time-series model
it if necessary), and using plots of the autocorrelation (ACF) and partial autocorrelation (PACF) functions of the dependent time series to decide which
Box–Jenkins_method
Function returning one of only two values
Hamming weight of the function is the number of ones in the truth table. Bent: its derivatives are all balanced (the autocorrelation spectrum is zero) Correlation
Boolean_function
Statistical model used in time series analysis
using the sample autocorrelation function (ACF), partial autocorrelation function (PACF), and/or extended autocorrelation function (EACF) method. Other
Autoregressive integrated moving average
Autoregressive_integrated_moving_average
Chart of correlation statistics
plotting.autocorrelation_plot R: functions acf and pacf Corrgrams: python seaborn: heatmap, pairplot R: corrgram Partial autocorrelation function Lag plot
Correlogram
Time series model
is designated as the maximum lag q. Sometimes the ACF and partial autocorrelation function (PACF) will suggest that an MA model would be a better model
Moving-average_model
Concept in probability theory and statistics
explain. In time series analysis, the partial autocorrelation function (sometimes "partial correlation function") of a time series is defined, for lag
Partial_correlation
Power law growth of entropy of language or a stochastic process
_{k}^{2}=\infty } , where α k {\displaystyle \alpha _{k}} is the partial autocorrelation function. Additionally, if the Gaussian process has a positive and continuous
Hilberg's_hypothesis
Topics referred to by the same term
PACF may refer to: Partial autocorrelation function - a type of Mathematical Function. Princeton Area Community Foundation - a public charity based in
PACF
Park test Partial autocorrelation – redirects to Partial autocorrelation function Partial autocorrelation function Partial correlation Partial least squares
List_of_statistics_articles
Statistical model used in time series analysis
found by plotting the partial autocorrelation functions. Similarly, q can be estimated by using the autocorrelation functions. Both p and q can be determined
Autoregressive moving-average model
Autoregressive_moving-average_model
Function related to statistics and probability theory
L\equiv \left[{\frac {\partial L}{\partial \theta _{i}}}\right]_{i=1}^{n_{\mathrm {i} }}} vanishes, and if the likelihood function approaches a constant
Likelihood_function
Concept in probability and statistics
a function that gives the covariance of the process with itself at pairs of time points. Autocovariance is closely related to the autocorrelation of
Autocovariance
Mathematical relation assigning a probability event to a cost
optimization and decision theory, a loss function or cost function (sometimes also called an error function) is a function that maps an event or values of one
Loss_function
Mathematical transform that expresses a function of time as a function of frequency
instead take the Fourier transform of its autocorrelation function. The autocorrelation function R of a function f is defined by R f ( τ ) = lim T → ∞ 1
Fourier_transform
Statistical hypothesis test for the presence of serial correlation
Breusch and Leslie G. Godfrey. The Breusch–Godfrey test is a test for autocorrelation in the errors in a regression model. It makes use of the residuals
Breusch–Godfrey_test
Procedure to estimate standard deviation from a sample
the autocorrelation function (ACF) of the data. (Note that the expression in the brackets is simply one minus the average expected autocorrelation for
Unbiased estimation of standard deviation
Unbiased_estimation_of_standard_deviation
Calculation of complex statistical distributions
_{k=1}^{\infty }\rho _{k}} , is often called the integrated autocorrelation. When the chain has no autocorrelation ( ρ k = 0 {\displaystyle \rho _{k}=0} for all k
Markov_chain_Monte_Carlo
Representation of a type of random process
The autocorrelation function of an AR(p) process is a sum of decaying exponentials. Each real root contributes a component to the autocorrelation function
Autoregressive_model
Measure of covariance of components of a random vector
{\displaystyle \operatorname {K} _{\mathbf {X} \mathbf {X} }} is related to the autocorrelation matrix R X X {\displaystyle \operatorname {R} _{\mathbf {X} \mathbf
Covariance_matrix
Method of data analysis
to have unit variance, by standardizing the data and hence use the autocorrelation matrix instead of the autocovariance matrix as a basis for PCA. However
Principal_component_analysis
Statistical hypothesis test
desired false-rejection probability (e.g. 0.05). Since F is a monotone function of the likelihood ratio statistic, the F-test is a likelihood ratio test
F-test
Covariance and correlation
cross-correlation is similar in nature to the convolution of two functions. In an autocorrelation, which is the cross-correlation of a signal with itself, there
Cross-correlation
Probability of survival beyond any specified time
certain time. The survival function is also known as the survivor function or reliability function. The term reliability function is common in engineering
Survival_function
Statistical model for a binary dependent variable
the value "1"), hence the labeling; the function that converts log-odds to probability is the logistic function, hence the name. The unit of measurement
Logistic_regression
Test statistic
Durbin–Watson statistic is a test statistic used to detect the presence of autocorrelation at lag 1 in the residuals (prediction errors) from a regression analysis
Durbin–Watson_statistic
Medical imaging and optical technique
electric field temporal autocorrelation function is measured. A model for photon propagation through tissues, the measured autocorrelation signal is used to
Diffuse correlation spectrometry
Diffuse_correlation_spectrometry
Statistical test
P. Box) is a type of statistical test of whether any of a group of autocorrelations of a time series are different from zero. Instead of testing randomness
Ljung–Box_test
Set of statistical processes for estimating the relationships among variables
regression models propose that Y i {\displaystyle Y_{i}} is a function (regression function) of X i {\displaystyle X_{i}} and β {\displaystyle \beta }
Regression_analysis
Family of probability distributions
{\displaystyle {\widehat {\sigma }}^{2}=\operatorname {E} (y_{i}^{2}),} and autocorrelation function r ( k ) = E ( y i , y i + k ) E ( y i 2 ) {\displaystyle r(k)={\frac
Tweedie_distribution
Type of deterministic method for multivariate interpolation
method can also be used to create spatial weights matrices in spatial autocorrelation analyses (e.g. Moran's I). The name given to this type of method was
Inverse_distance_weighting
Special type of Boolean function
partially bent functions form a large class defined by a condition on the Walsh transform and autocorrelation functions. All affine and bent functions are partially
Bent_function
Type of average of a collection of numbers
especially multivariable calculus, the mean of a function is loosely defined as the average value of the function over its domain. If a numerical property, and
Arithmetic_mean
Signal processing algorithm
)\,d\tau ,} where R s ( τ ) {\displaystyle R_{s}(\tau )} is the autocorrelation function of s ( t ) {\displaystyle s(t)} and R x s ( τ ) {\displaystyle
Wiener_filter
Time series model
_{t}=a_{0}+\sum _{i=1}^{q}a_{i}y_{t-i}+\epsilon _{t}} . Compute and plot the autocorrelations of ϵ 2 {\displaystyle \epsilon ^{2}} by ρ ( i ) = ∑ t = i + 1 T ( ϵ
Autoregressive conditional heteroskedasticity
Autoregressive_conditional_heteroskedasticity
Interpretation of probability
of Iowa: 125 (fn. #52), 126. The works of Wald, Statistical Decision Functions (1950) and Savage, The Foundation of Statistics (1954) are commonly regarded
Bayesian_probability
Table that displays the frequency of variables
Q-statistic (Ljung–Box) Durbin–Watson Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins)
Contingency_table
Class of statistical models
response variable via a link function and by allowing the magnitude of the variance of each measurement to be a function of its predicted value. Generalized
Generalized_linear_model
Method of estimating the parameters of a statistical model, given observations
{\partial \ell }{\partial \theta _{1}}}=0,\quad {\frac {\partial \ell }{\partial \theta _{2}}}=0,\quad \ldots ,\quad {\frac {\partial \ell }{\partial \theta
Maximum_likelihood_estimation
Probability distribution
instance of the hypergeometric function. For information on its inverse cumulative distribution function, see quantile function § Student's t-distribution
Student's_t-distribution
Statistical measure of how far values spread from their average
random variable X {\displaystyle X} is discrete with probability mass function x 1 ↦ p 1 , x 2 ↦ p 2 , … , x n ↦ p n {\displaystyle x_{1}\mapsto p_{1}
Variance
Statistical property quantifying how much a collection of data is spread out
probability density function while leaving the mean (the expected value) unchanged. The concept of a mean-preserving spread provides a partial ordering of probability
Statistical_dispersion
Equation relating transport coefficients to correlation functions
{\displaystyle F_{e}=0} ) flux autocorrelation function is replaced by a thermostatted field dependent transient autocorrelation function. At time zero ⟨ J ( 0
Green–Kubo_relations
Nonparametric test of the null hypothesis
WILCOXON function. KNIME implements the test in its Wilcoxon–Mann–Whitney Test node. ClickHouse implements the test in its mannWhitneyUTest function. The
Mann–Whitney_U_test
Perceptual property in music ordering sounds from low to high
their autocorrelation function do not elicit a corresponding pitch percept, and that certain sounds without a peak in their autocorrelation function nevertheless
Pitch_(music)
Smooth function in statistics
the variance function is a smooth function that depicts the variance of a random quantity as a function of its mean. The variance function is a measure
Variance_function
Approximation method in statistics
describes the variance in a prediction of the dependent variable as a function of the independent variable and the deviations from the fitted curve. When
Least_squares
Concept in inferential statistics
Q-statistic (Ljung–Box) Durbin–Watson Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins)
Statistical_significance
Probabilistic problem-solving algorithm
McKean Jr. on Markov interpretations of a class of nonlinear parabolic partial differential equations arising in fluid mechanics. An earlier pioneering
Monte_Carlo_method
Distribution function associated with the empirical measure of a sample
an empirical distribution function (a.k.a. an empirical cumulative distribution function, eCDF) is the distribution function associated with the empirical
Empirical distribution function
Empirical_distribution_function
Fundamental theorem in probability theory and statistics
characteristic functions of a number of density functions becomes close to the characteristic function of the normal density as the number of density functions increases
Central_limit_theorem
Sequence of data points over time
Consideration of the autocorrelation function and the spectral density function (also cross-correlation functions and cross-spectral density functions) Scaled cross-
Time_series
Circular statistical graph of proportionality
Q-statistic (Ljung–Box) Durbin–Watson Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins)
Pie_chart
Function for integral Fourier-like transform
2013-08-10 at the Wayback Machine Rafiee, J.; Tse, Peter W. (2009). "Use of autocorrelation in wavelet coefficients for fault diagnosis". Mechanical Systems and
Wavelet
Apparent lack of pattern or predictability in events
Q-statistic (Ljung–Box) Durbin–Watson Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins)
Randomness
Statistical interpretation with many tests
Q-statistic (Ljung–Box) Durbin–Watson Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins)
Multiple_comparisons_problem
Method used in statistics, pattern recognition, and other fields
linear combination that is the discriminant function. Like in a regression equation, these coefficients are partial (i.e., corrected for the other predictors)
Linear_discriminant_analysis
Stochastic differential equation
correlation time of the noise term. It can also be shown that the autocorrelation function of the particle velocity v {\displaystyle \mathbf {v} } is given
Langevin_equation
Scientific procedure performed to validate a hypothesis
Q-statistic (Ljung–Box) Durbin–Watson Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins)
Experiment
Range to estimate an unknown parameter
a Bayesian alternative for interval estimation Cumulative distribution function-based nonparametric confidence interval – Class of confidence intervals
Confidence_interval
Statistic measuring inter-rater agreement for categorical items
kappa: Nominal scale agreement with provision for scaled disagreement or partial credit". Psychological Bulletin. 70 (4): 213–220. doi:10.1037/h0026256
Cohen's_kappa
Measure of linear correlation
{Y}}_{i})({\hat {Y}}_{i}-{\bar {Y}})=0} can be proved by noticing that the partial derivatives of the residual sum of squares (RSS) over β0 and β1 are equal
Pearson correlation coefficient
Pearson_correlation_coefficient
Statistical method
components analysis followed by the examination of a series of matrices of partial correlations” (p. 397 (though this quote does not occur in Velicer (1976)
Factor_analysis
Graphical representation of the distribution of numerical data
and often for density estimation: estimating the probability density function of the underlying variable. The total area of a histogram used for probability
Histogram
Generates a forecast of future values of a time series
exponential window function. Whereas in the simple moving average the past observations are weighted equally, exponential functions are used to assign
Exponential_smoothing
Human research survey of public opinion
Q-statistic (Ljung–Box) Durbin–Watson Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins)
Opinion_poll
Measure of the asymmetry of random variables
} where Q is the quantile function (i.e., the inverse of the cumulative distribution function). The numerator is difference between the
Skewness
Relative measure of dispersion expressed as the ratio of standard deviation to the mean
Standard score Information ratio Omega ratio Sampling (statistics) Variance function Everitt, Brian (1998). The Cambridge Dictionary of Statistics. Cambridge
Coefficient_of_variation
Statistical hypothesis test
portmanteau test in time-series analysis, testing for the presence of autocorrelation Likelihood-ratio tests in general statistical modelling, for testing
Chi-squared_test
Statistical methods for comparing samples
Mathematical Functions and Operators - Probability Functions: inverse_cdf Mathematical Functions and Operators - Probability Functions: cdf Two Sample
Two-proportion_Z-test
Statistical measure to determine how suited data is for factor analysis
question and another, and p j k {\displaystyle p_{jk}} is the partial correlation. This is a function of the squared elements of the `image' matrix compared
Kaiser–Meyer–Olkin_test
Algorithm to estimate signal frequency
(average magnitude difference function), ASMDF (Average Squared Mean Difference Function), and other similar autocorrelation algorithms work this way. These
Pitch_detection_algorithm
Method of quality control
Q-statistic (Ljung–Box) Durbin–Watson Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins)
Statistical_process_control
Measure of the joint variability
{\displaystyle X} and Y {\displaystyle Y} have the following joint probability mass function, in which the six central cells give the discrete joint probabilities f
Covariance
Measure of the deviation of position over time
denotes averaging over N ensembles. Also, one can easily derive the autocorrelation function from the MSD: ⟨ [ r ( t ) − r ( 0 ) ] 2 ⟩ = ⟨ r 2 ( t ) ⟩ + ⟨ r
Mean_squared_displacement
Function that measures dissimilarity between two probability distributions
_{p}^{j}}}{\tfrac {\partial }{\partial \theta _{q}^{k}}}D(p,q),\ \ \mathrm {etc.} \end{aligned}}} Now we restrict these functions to a diagonal p = q
Divergence_(statistics)
Function of the observed sample results
for instance using Fisher's combined probability test. The p-value is a function of the chosen test statistic T {\displaystyle T} and is therefore a random
P-value
Type of stochastic process
K_{XX}(\tau )\triangleq K_{XX}(t_{1}-t_{2},0)} This also implies that the autocorrelation depends only on τ = t 1 − t 2 {\displaystyle \tau =t_{1}-t_{2}}
Stationary_process
Experiment in which information about the test is masked to reduce bias
Q-statistic (Ljung–Box) Durbin–Watson Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins)
Blinded_experiment
Experiment methodology
Q-statistic (Ljung–Box) Durbin–Watson Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins)
A/B_testing
Theory and technique of psychological measurement
"fit" than others. Today these differences, such as sensory and motor functioning (reaction time, visual acuity, and physical strength), are important
Psychometrics
Statistical test that compares goodness of fit
}{\mathcal {L}}(\theta )\,\right]} is the logarithm of the maximized likelihood function L {\displaystyle {\mathcal {L}}} , and ℓ ( θ 0 ) {\displaystyle \ell (\theta
Likelihood-ratio_test
Numeric quantity representing the center of a collection of numbers
random variable and P ( x ) {\displaystyle P(x)} is the probability mass function. For a continuous distribution, the mean is ∫ − ∞ ∞ x f ( x ) d x {\displaystyle
Mean
Bias in causal inference
Q-statistic (Ljung–Box) Durbin–Watson Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins)
Confounding
Statistical property
bias coefficient ρ is the widely used Prais–Winsten estimate of the autocorrelation-coefficient (a quantity between −1 and +1) for all sample point pairs
Standard_error
Statistical method
choice for an approximating distribution is the empirical distribution function of the observed data. In the case where a set of observations can be assumed
Bootstrapping_(statistics)
Form of scientific experiment
(1901). "The influence of improvement in one mental function upon the efficiency of other functions (I)" (PDF). Psychological Review. 8 (3): 247. doi:10
Randomized_controlled_trial
Distinction between nominal, ordinal, interval and ratio variables
Q-statistic (Ljung–Box) Durbin–Watson Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins)
Level_of_measurement
Partial (pooled) likelihood estimation for panel data is a quasi-maximum likelihood method for panel analysis that assumes that density of y i t {\displaystyle
Partial likelihood methods for panel data
Partial_likelihood_methods_for_panel_data
Type of numerical analysis
form, such as the linearity imposed by linear regression, as long as the function is monotonic increasing. Another application is nonmetric multidimensional
Isotonic_regression
Study of collection and analysis of data
statistics. The term statistic, in singular form, is used to describe a function that returns its value of the same name. When census data cannot be collected
Statistics
Non-parametric statistic used to estimate the survival function
estimator, is a non-parametric statistic used to estimate the survival function from lifetime data. In medical research, it is often used to measure the
Kaplan–Meier_estimator
Fourth standardized moment in statistics
type IV family restricted to symmetric densities. The probability density function (PDF) is given by f ( x ; a , m ) = Γ ( m ) a π Γ ( m − 1 / 2 ) [ 1 + (
Kurtosis
Statistics method
parameter, λ of the exponential distribution which has the probability density function: f ( x ; λ ) = { λ e − λ x , x ≥ 0 , 0 , x < 0. {\displaystyle f(x;\lambda
Estimating_equations
Estimator for quality of a statistical model
of fit (as assessed by the likelihood function), but it also includes a penalty that is an increasing function of the number of estimated parameters.
Akaike_information_criterion
Criterion for model selection
lower BIC are generally preferred. It is based, in part, on the likelihood function and it is closely related to the Akaike information criterion (AIC). When
Bayesian information criterion
Bayesian_information_criterion
Data visualization
can be useful to compare the box plot against the probability density function (theoretical histogram) for a normal N(0,σ2) distribution and observe their
Box_plot
Linear regression model with a single explanatory variable
finds a linear function (a non-vertical straight line) that, as accurately as possible, predicts the dependent variable values as a function of the independent
Simple_linear_regression
Sub-discipline of systems engineering that emphasizes dependability
equipment to function without failure. Reliability is defined as the probability that a product, system, or service will perform its intended function adequately
Reliability_engineering
PARTIAL AUTOCORRELATION-FUNCTION
PARTIAL AUTOCORRELATION-FUNCTION
Male
German
German form of French Percevel, PARZIFAL means "pierced valley."
Male
Irish
Irish Gaelic legend name, thought by some to have been derived from Latin Bartholomaeus, PARTHALÃN means "son of Talmai." As the legend goes, this name belonged to an early invader of Ireland who was the first to arrive on those shores after the biblical flood.
Boy/Male
Hindu, Indian
Lord of Parti; One of the Name of Shri Satya Saibaba
Boy/Male
Australian, Christian, French, Latin, Swiss
Warring; Like Mars; Roman God Mars
Girl/Female
Hindu
Wisdom
Surname or Lastname
English
English : variant of Hartell.
Female
English
English Shakespeare character name derived from Roman Latin Porcius, PORTIA means "pig." A moon of Uranus was given this name.
Male
German
Variant spelling of German Parzifal, PARSIFAL means "pierced valley."
Male
Spanish
Spanish form of Roman Latin Martialis, MARCIAL means "of/like Mars."
Surname or Lastname
English
English : from Old French poutrel ‘colt’ (Late Latin pultrellus), a metonymic occupational name for someone responsible for keeping horses, or a nickname for a frisky and high-spirited person. This surname is also found in Ireland, Mac Lysaght believing it to be a variant of Purcell.
Boy/Male
Teutonic
Martial ruler.
Male
English
English form of Roman Latin Martialis, MARTIAL means "of/like Mars."
Boy/Male
Hindu
Lord of parti one of the name of Shri Satya Sai baba
Male
German
German form of French Percevel, PARZIVAL means "pierced valley."
Boy/Male
Latin
Warring.
Boy/Male
Sikh
One on whom there is gods grace, Gods mercy
Girl/Female
Latin American Shakespearean
An offering. Portia was a heroine in Shakespeare's 'The Merchant of Venice'.
Male
Hungarian
Hungarian form of Greek Bartholomaios, BARTAL means "son of Talmai."
Boy/Male
Muslim
Canvas
Girl/Female
Hindu, Indian
Queen
PARTIAL AUTOCORRELATION-FUNCTION
PARTIAL AUTOCORRELATION-FUNCTION
Girl/Female
Latin
True.
Boy/Male
Indian, Sanskrit
Lord of Command
Boy/Male
Tamil
Kartikaya | காரà¯à®¤à¯€à®•à®¾à®¯à®¾
(Son of Lord Shiva)
Boy/Male
Indian
Servant of the forbearing one, Servant of the patient one
Boy/Male
Tamil
Shining
Boy/Male
Indian, Sanskrit
One God; The Primal God
Girl/Female
Muslim
Gem, Jewel
Surname or Lastname
English
English : This name is also found in Ireland as (Mac) Gartlan(d), which MacLysaght describes as a Gaelicized form of Garland.
Girl/Female
Arabic, Indian, Kannada, Muslim
Blessings; Loans
Girl/Female
Hindu
PARTIAL AUTOCORRELATION-FUNCTION
PARTIAL AUTOCORRELATION-FUNCTION
PARTIAL AUTOCORRELATION-FUNCTION
PARTIAL AUTOCORRELATION-FUNCTION
PARTIAL AUTOCORRELATION-FUNCTION
a.
Not partial; not favoring one more than another; treating all alike; unprejudiced; unbiased; disinterested; equitable; fair; just.
a.
Impartial.
n.
Of, pertaining to, or affecting, a part only; not general or universal; not total or entire; as, a partial eclipse of the moon.
n.
Inclined to favor one party in a cause, or one side of a question, more then the other; baised; not indifferent; as, a judge should not be partial.
a.
Of, pertaining to, or suited for, war; military; as, martial music; a martial appearance.
n.
A native Parthia.
n.
A patrial noun. Thus Romanus, a Roman, and Troas, a woman of Troy, are patrial nouns, or patrials.
a.
Serving as a partisan in a detached command; as, a partisan officer or corps.
pl.
of Court-martial
v.
Given when departing; as, a parting shot; a parting salute.
a.
Pertaining to, or containing, iron; chalybeate; as, martial preparations.
v.
Of or pertaining to a husband; as, marital rights, duties, authority.
a.
Of or pertaining to ancient Parthia, in Asia.
a.
Both renal and portal. See Portal.
adv.
In part; not totally; as, partially true; the sun partially eclipsed.
adv.
In a partial manner; with undue bias of mind; with unjust favor or dislike; as, to judge partially.
v. t.
To subject to trial by a court-martial.
v.
Admitting of being parted; partible.
a.
Belonging to war, or to an army and navy; -- opposed to civil; as, martial law; a court-martial.
n.
Pertaining to a subordinate portion; as, a compound umbel is made up of a several partial umbels; a leaflet is often supported by a partial petiole.