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Statistical function that defines the quantiles of a probability distribution
probability distribution's quantile function is the inverse of its cumulative distribution function. That is, the quantile function of a distribution D {\displaystyle
Quantile_function
Statistical method of dividing data into equal-sized intervals for analysis
distribution function of a random variable is known, the q-quantiles are the application of the quantile function (the inverse function of the cumulative
Quantile
Comparison of two distributions
plot (quantile–quantile plot) is a probability plot, a graphical method for comparing two probability distributions by plotting their quantiles against
Q–Q_plot
Probability distribution
e^{n^{2}}}}}}} The quantile function of a distribution is the inverse of the cumulative distribution function. The quantile function of the standard normal
Normal_distribution
Statistical modeling technique
However, the main attraction of quantile regression goes beyond this and is advantageous when conditional quantile functions are of interest. Different measures
Quantile_regression
Continuous probability distribution
distribution function (quantile function) of the logistic distribution is a generalization of the logit function. Its derivative is called the quantile density
Logistic_distribution
Function in statistics
In statistics, the logit (/ˈloʊdʒɪt/ LOH-jit) function is the quantile function associated with the standard logistic distribution. It has many uses in
Logit
Probability that random variable X is less than or equal to x
{\displaystyle F(x)=p} . This defines the inverse distribution function or quantile function. Some distributions do not have a unique inverse (for example
Cumulative distribution function
Cumulative_distribution_function
Family of continuous probability distributions
simulation studies since its probability density function, cumulative distribution function and quantile functions can be expressed in closed form. This distribution
Kumaraswamy_distribution
Continuous probability distribution
of fitting to data with linear least squares; simple, closed-form quantile function (inverse CDF) equations that facilitate simulation; a simple, closed-form
Metalog_distribution
Φ is the cumulative distribution function of the standard normal distribution. The formula for the quantile function is G ( p ) = 1 4 [ γ Φ − 1 ( p )
Birnbaum–Saunders distribution
Birnbaum–Saunders_distribution
Basic method for pseudo-random number sampling
involves computing the quantile function of the distribution — in other words, computing the cumulative distribution function (CDF) of the distribution
Inverse_transform_sampling
Symmetric probability distribution
continuous, symmetric probability distribution defined in terms of its quantile function. It is typically used to identify an appropriate distribution (see
Tukey_lambda_distribution
Statistic which divides data into four same-sized parts for analysis
In statistics, quartiles are a type of quantiles which divide the number of data points into four parts, or quarters, of more-or-less equal size. The
Quartile
Discrete-variable probability distribution
and statistics, a probability mass function (sometimes called probability function or frequency function) is a function that gives the probability that a
Probability_mass_function
A quantile-parameterized distribution (QPD) is a probability distributions that is directly parameterized by data. They were created to meet the need for
Quantile-parameterized distribution
Quantile-parameterized_distribution
Fourier transform of the probability density function
distribution function F X {\displaystyle F_{X}} , the inverse cumulative distribution function Q X {\displaystyle Q_{X}} (also called the quantile function), and
Characteristic function (probability theory)
Characteristic_function_(probability_theory)
Graph of wealth or income distribution
theory. Alternatively, for a cumulative distribution function F(x) with its inverse, the quantile function x(F), the Lorenz curve L(F) is directly given by:
Lorenz_curve
Sigmoid shape special function
Φ is known as the normal quantile function, or probit function and may be expressed in terms of the inverse error function as probit ( p ) = Φ − 1
Error_function
Description of continuous random distribution
probability density function (PDF), density function, or simply density of an absolutely continuous random variable, is a function whose value at any given
Probability_density_function
Statistical function that converts a probability to a standard normal score
distributed. Mathematically, the probit function is the quantile function (the inverse of the cumulative distribution function (CDF)) associated with the standard
Probit
Probability distribution
distribution that has a constant failure rate. The quantile function (inverse cumulative distribution function) for Exp(λ) is F − 1 ( p ; λ ) = − ln ( 1 −
Exponential_distribution
Discrete probability distribution
/2;k+1,1),} where χ 2 ( p ; n ) {\displaystyle \chi ^{2}(p;n)} is the quantile function (corresponding to a lower tail area p) of the chi-squared distribution
Poisson_distribution
Concept in probability theory and statistics
theory and statistics, the moment generating function of a real-valued random variable is a generating function that provides an alternative specification
Moment_generating_function
Probability distribution
}}\arctan \left({\frac {x-x_{0}}{\gamma }}\right)+{\frac {1}{2}}} and the quantile function (inverse cdf) of the Cauchy distribution is Q ( p ; x 0 , γ ) = x
Cauchy_distribution
Continuous probability distribution for a non-negative random variable
(see also related distributions below). The quantile function (inverse cumulative distribution function) is F − 1 ( p ; α , β ) = α ( p 1 − p ) 1 / β
Log-logistic_distribution
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
Measure of inequality of a statistical distribution
coefficient may be expressed in terms of the quantile function Q(F) (inverse of the cumulative distribution function: Q(F(x)) = x) G = 1 2 μ ∫ 0 1 ∫ 0 1 | Q
Gini_coefficient
Set of quantities in probability theory
cumulant generating function (CGF) K(t), which is a generating function that is the natural logarithm of the moment generating function: K ( t ) = log
Cumulant
Graphical technique in statistics
computed in exactly the same way. The normal quantile function Φ−1 is simply replaced by the quantile function of the desired distribution. In this way,
Normal_probability_plot
Continuous probability distribution
>0} are shape parameters. The inverse cumulative distribution function (quantile function) is Q X ( u ; θ ) = α α − log ( 1 − ( 1 − u ) 1 / β ) {\displaystyle
Modified Kumaraswamy distribution
Modified_Kumaraswamy_distribution
Measure of the shape of a function
Moments of a function in mathematics are certain quantitative measures related to the shape of the function's graph. For example, if the function represents
Moment_(mathematics)
Probability distribution
}}\right),} where erf is the error function, a standard function in many mathematical software packages. The quantile function (or inverse CDF) is written:
Half-normal_distribution
Probability distribution
gamma function, and P ( ⋅ , ⋅ ) {\displaystyle P(\cdot ,\cdot )} denotes the regularized lower incomplete gamma function. The quantile function can be
Generalized gamma distribution
Generalized_gamma_distribution
Continuous probability distribution
distribution function is F ( x ; k , β ) = 1 − e − ( β x ) k , {\displaystyle F(x;k,\beta )=1-e^{-(\beta x)^{k}},} the quantile function is Q ( p ; k
Weibull_distribution
Largest and oldest high-IQ society in the world
us.mensa.org. Retrieved 22 February 2023. See Normal distribution#Quantile function. American Mensa. "Take the Mensa Admission Test". www.us.mensa.org
Mensa_International
Average value of a random variable
Expectile – related to expectations in a way analogous to that in which quantiles are related to medians Law of total expectation – the expected value of
Expected_value
Continuous probability distribution
Having a closed form expression for the quantile function, may make it a more flexible alternative for a quantile regression model against the classical
Unit_Weibull_distribution
Mathematical function for the probability a given outcome occurs in an experiment
variable, a location at which the probability density function has a local peak. Quantile: the q-quantile is the value x {\displaystyle x} such that P ( X
Probability_distribution
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
Skewness
Variable representing a random phenomenon
{\displaystyle \operatorname {D} } can be generated by calculating the quantile function of D {\displaystyle \operatorname {D} } on a randomly-generated number
Random_variable
Probability distribution in economics
{x}{b}})^{-a-1}}{\left(({\tfrac {x}{b}})^{-a}+1\right)^{p+1}}}\right).} The quantile function is given by Q ( u ; a , b , p ) = b ( u − 1 / p − 1 ) − 1 / a = b
Dagum_distribution
and d is a parameter. From these relationships, the associated RMM quantile function is (Shore, 2011): w = log ( y ) = μ + ( α λ ) [ ( η + c z ) λ −
Response_modeling_methodology
Power series derived from a discrete probability distribution
generating function of a discrete random variable is a power series representation (the generating function) of the probability mass function of the random
Probability generating function
Probability_generating_function
Functional relationship between two quantities
generation function using random samples, the bundle methodology is based on residual quantile functions (RQFs), also called residual percentile functions, which
Power_law
Statistical measure
{\displaystyle Q_{3}={\text{CDF}}^{-1}(0.75),} where CDF−1 is the quantile function. When normalizing by the mean value of the measurements, the term
Root_mean_square_deviation
Concept in probability theory
(a)}}} The result that, for a nonnegative random variable X, the quantile function of X satisfies: Q X ( 1 − p ) ≤ E ( X ) p , {\displaystyle Q_{X}(1-p)\leq
Markov's_inequality
Measure for evaluating probabilistic forecasts
y)=(x-y)^{2}} The following scoring functions are strictly consistent for the α {\displaystyle \alpha } -quantile, i.e. T ( F ) = q α {\displaystyle T(F)=q_{\alpha
Scoring_rule
Statistical tool to assess investments
{1}{Ne}}\right)\right)} Where: Φ − 1 {\displaystyle \Phi ^{-1}} is the quantile function (inverse CDF) of the standard normal distribution, γ ≈ 0.5772 {\displaystyle
Deflated_Sharpe_ratio
Family of probability distributions
whole real line. Since the cumulative distribution function is invertible, the quantile function for the GEV distribution has an explicit expression
Generalized extreme value distribution
Generalized_extreme_value_distribution
Estimate of an interval in which future observations will fall
prediction is to estimate the parameters and then use the associated quantile function – for example, one could use the sample mean x ¯ {\displaystyle {\overline
Prediction_interval
Concept in information theory
distributions which do not have an explicit density function expression, but have an explicit quantile function expression, Q ( p ) {\displaystyle Q(p)} , then
Differential_entropy
Generalization of the one-dimensional normal distribution to higher dimensions
covariance matrix and χ k 2 ( p ) {\displaystyle \chi _{k}^{2}(p)} is the quantile function for probability p {\displaystyle p} of the chi-squared distribution
Multivariate normal distribution
Multivariate_normal_distribution
Middle quantile of a data set or probability distribution
the median is of central importance in robust statistics. Median is a 2-quantile; it is the value that partitions a set into two equal parts. The median
Median
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 test for multiple comparisons
same α . In addition, R offers a cumulative distribution function (ptukey) and a quantile function (qtukey) for q . The Tukey confidence limits for all pairwise
Tukey's_range_test
Measure of statistical dispersion
{\displaystyle Q_{3}={\text{CDF}}^{-1}(0.75),} where CDF−1 is the quantile function. The interquartile range and median of some common distributions are
Interquartile_range
Particular case of the generalized extreme value distribution
{\displaystyle b} addition algorithms. Since the quantile function (inverse cumulative distribution function), Q ( p ) {\displaystyle Q(p)} , of a Gumbel
Gumbel_distribution
Statistic expressing the amount of random sampling error in a survey's results
values of z 1 − α {\displaystyle z_{1-\alpha }} are given by the quantile function of the normal distribution (which the 68–95–99.7 rule approximates)
Margin_of_error
Method for estimating the unknown parameters in a linear regression model
{\bigg ]}} at the 1 − α confidence level, where q denotes the quantile function of standard normal distribution, and [·]jj is the j-th diagonal element
Ordinary_least_squares
Motion of a body subject only to gravity
\beta )} is the quantile function of the beta distribution; also known as the inverse function of the regularized incomplete beta function I x ( α , β )
Free_fall
Kth smallest value in a statistical sample
median is some function of the two (usually the average) and hence not an order statistic. Similar remarks apply to all sample quantiles. Given any random
Order_statistic
Mathematical equation related to human death rate
useful to work with the quantile function Q ( u ) {\displaystyle Q(u)} , defined as the inverse of the cumulative distribution function. A closed-form expression
Gompertz–Makeham law of mortality
Gompertz–Makeham_law_of_mortality
Function of the observed sample results
statistic for given fixed p-values; this corresponds to computing the quantile function (inverse CDF). As an example of a statistical test, an experiment
P-value
Probability distribution
the paper, which is available for the computing of the cdf, pmf, quantile function, and random number generation of the Poisson binomial distribution
Poisson_binomial_distribution
Continuous probability distribution
Champernowne distribution, which has exponential tails. The inverse cdf (or quantile function) for a uniform variate 0 ≤ p < 1 is F − 1 ( p ) = − 2 π arsinh [ cot
Hyperbolic secant distribution
Hyperbolic_secant_distribution
Utility-representation theorem in Decision Theory
over X {\displaystyle X} , with the naturally-induced mixture function. Quantile functions: for any CDF F : R → [ 0 , 1 ] {\displaystyle F:\mathbb {R} \to
Mixture-space_theorem
Statistical measure of variability
reciprocal of the quantile function Φ − 1 {\displaystyle \Phi ^{-1}} (also known as the inverse of the cumulative distribution function) for the standard
Median_absolute_deviation
Statistical characterization of distribution functions
dispersion function of order p is defined as the L p {\displaystyle L_{p}} -distance between the quantile function Q X {\displaystyle Q_{X}} and the quantile function
Dispersion_function
Regression analysis technique
the cumulative distribution function (CDF) of e {\displaystyle e} as F e , {\displaystyle F_{e},} and the quantile function (inverse CDF) of e {\displaystyle
Binomial_regression
Diagnostic plot of binary classifier ability
non-linearly transformed x- and y-axes. The transformation function is the quantile function of the normal distribution, i.e., the inverse of the cumulative
Receiver operating characteristic
Receiver_operating_characteristic
Distance function defined between probability distributions
{\displaystyle F_{1}^{-1}} and F 2 − 1 {\displaystyle F_{2}^{-1}} are the quantile functions (inverse CDFs). In the case of p = 1 {\displaystyle p=1} , a change
Wasserstein_metric
Probability distribution and special case of gamma distribution
degrees of freedom. These values can be calculated evaluating the quantile function (also known as "inverse CDF" or "ICDF") of the chi-squared distribution;
Chi-squared_distribution
Calculation of complex statistical distributions
specific quantile of interest within a desired margin of error. Let q {\displaystyle q} denote the desired quantile (e.g., 0.025) of a real-valued function g
Markov_chain_Monte_Carlo
Method of estimating the parameters of a statistical model, given observations
probability density function, cumulative distribution function, or quantile function, to generate predictions of probabilities or quantiles of out-of-sample
Maximum_likelihood_estimation
Statistical distribution
probability distribution or cumulative distribution function. Rather, it is a discrete form of a quantile function (inverse cumulative distribution) in reverse
Rank–size_distribution
deviate mapping (or normal quantile function, or inverse normal cumulative distribution) is given by the probit function, so that the horizontal axis
Detection_error_tradeoff
Term in statistical hypothesis testing
(thus no longer involving n) and so through use of the corresponding quantile function Φ − 1 {\displaystyle \Phi ^{-1}} , we obtain that the null should
Power_(statistics)
Technique to make two distributions statistically identical
In statistics, quantile normalization is a technique for making two distributions identical in statistical properties. To quantile-normalize a test distribution
Quantile_normalization
Statistical sequence characterizing probability distributions
This integral can often be made more tractable by introducing the quantile function Q X {\displaystyle Q_{X}} via the change of variables y = F X ( x
L-moment
expected value of the distribution in a way analogous to that in which the quantiles of the distribution are related to the median. For τ ∈ ( 0 , 1 ) {\textstyle
Expectile
Probability distribution of the test statistic under the null hypothesis
to genomics. 2008." Van Der Laan, Mark J., and Alan E. Hubbard. "Quantile-function based null distribution in resampling based multiple testing." Statistical
Null_distribution
Probability distribution
distribution is a five-parameter probability distribution defined by its quantile function, W ( p ) = ξ + α β ( 1 − ( 1 − p ) β ) − γ δ ( 1 − ( 1 − p ) − δ )
Wakeby_distribution
Chart of correlation statistics
{z_{1-\alpha /2}}{\sqrt {N}}}} where N is the sample size, z is the quantile function of the standard normal distribution and α is the significance level
Correlogram
Statistical measure
^{-1}(3/4)\approx 1.4826,} where Φ−1 is the quantile function (inverse of the cumulative distribution function) for the standard normal distribution. (See
Scale_parameter
Statistical test
{\displaystyle D_{max}} by plugging P z {\displaystyle P_{z}} into the Quantile Function. D m a x = Q ( P z ) ≈ 1.7317 {\displaystyle D_{max}=Q(P_{z})\approx
Chauvenet's_criterion
Probability distribution
(1976). Alternative forms to this distribution, with the corresponding quantile function, have been given by Ashour and Abdel-Hamid and by Mudholkar and Hutson
Skew_normal_distribution
graphical representation of income inequality because it is a form of quantile function and it is considered useful when comparing two different areas or
Pen's_parade
Qualitative variation Quality control Quantile Quantile function Quantile normalization Quantile regression Quantile-parameterized distribution Quantitative
List_of_statistics_articles
Application of mathematical and statistical methods in finance
SU-distribution Log-normal distribution Student's t-distribution Quantile functions Radon–Nikodym derivative Risk-neutral measure Scenario optimization
Mathematical_finance
Probability distribution
ordinary meaning of 'the xth quantile of the standard normal distribution', rather than being a shorthand for 'the (1 − x)th quantile'. Secondly, this formula
Binomial_distribution
Field of machine learning
Will; Ostrovski, Georg; Silver, David; Munos, Remi (2018-07-03). "Implicit Quantile Networks for Distributional Reinforcement Learning". Proceedings of the
Reinforcement_learning
Collective term for blood tests used to check the function of the thyroid
different equation. The Thyroid Feedback Quantile-based Index (TFQI) is another parameter for thyrotropic pituitary function. It was defined to be more robust
Thyroid_function_tests
Set of statistical processes for estimating the relationships among variables
different procedures to estimate alternative location parameters (e.g., quantile regression or Necessary Condition Analysis) or estimate the conditional
Regression_analysis
Moment of a random variable minus its mean
continuous univariate probability distribution with probability density function f(x), the n-th moment about the mean μ is μ n = E [ ( X − E [ X ] )
Central_moment
Probability distribution
Y=\ln X} has a normal distribution, and quantiles are preserved under monotonic transformations, the quantiles of X {\displaystyle X} are q X ( α ) = exp
Log-normal_distribution
Continuous probability distribution
inverse probability transform method. For the two-parameter model, the quantile function (inverse CDF) is F − 1 ( u ) = σ exp − 1 β log ( 1 − u ) , 0 <
Benini_distribution
Multi-dimensional version of a confidence interval
{\varepsilon ^{\operatorname {T} }\varepsilon }{n-p}}.} Further, F is the quantile function of the F-distribution, with p and ν = n − p {\displaystyle \nu =n-p}
Confidence_region
Measure of statistical dispersion
{\displaystyle Q} has a cumulative distribution function F ( x ) {\displaystyle F(x)} with quantile function Q ( F ) {\displaystyle Q(F)} , then, since f
Mean_absolute_difference
Statistical estimation technique
{\displaystyle n\geq 2} subjects' estimated or elicited quantile functions in order to define group quantiles from which F {\displaystyle F} can be constructed
Vincent_average
QUANTILE FUNCTION
QUANTILE FUNCTION
Biblical
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Male
Egyptian
, an Egyptian functionary.
Surname or Lastname
English
English : nickname from the animal, Middle English catte ‘cat’. The word is found in similar forms in most European languages from very early times (e.g. Gaelic cath, Slavic kotu). Domestic cats were unknown in Europe in classical times, when weasels fulfilled many of their functions, for example in hunting rodents. They seem to have come from Egypt, where they were regarded as sacred animals.English : from a medieval female personal name, a short form of Catherine.Variant spelling of German and Dutch Katt.
Male
Egyptian
, a high Egyptian functionary.
Male
Japanese
(1-義é‡, 2-良和) Japanese name YOSHIKAZU means 1) "correct quantity/volume," and 2) "good addition."Â
Boy/Male
Hindu
Large quantity
Boy/Male
Tamil
Large quantity
Boy/Male
Buddhist, Indian, Japanese
Mysterious Function
Male
Egyptian
, an Egyptian functionary.
Male
Celtic
, great justiciary, or functionary.
Surname or Lastname
English
English : topographic name for someone who lived by the gates of a medieval walled town. The Middle English singular gate is from the Old English plural, gatu, of geat ‘gate’ (see Yates). Since medieval gates were normally arranged in pairs, fastened in the center, the Old English plural came to function as a singular, and a new Middle English plural ending in -s was formed. In some cases the name may refer specifically to the Sussex place Eastergate (i.e. ‘eastern gate’), known also as Gates in the 13th and 14th centuries, when surnames were being acquired.Americanized spelling of German Götz (see Goetz).Translated form of French Barrière (see Barriere).In New England, Gates was the preferred English version of the name of an extensive French family, called Barrière dit Langevin.
Male
Egyptian
, Functionary of the Interior.
Male
Egyptian
, the son of the functionary Heknofre.
Male
Egyptian
, a great functionary.
Surname or Lastname
English
English : topographic name for someone who lived by an enclosure of some kind, Middle English yard(e) (Old English geard; compare Garth).English : nickname from Middle English yard ‘rod’, ‘stick’ (Old English (Anglian) gerd), probably with reference to a rod or staff carried as a symbol of authority.English : from the same word as in 2, used to denote a measure of land. The surname probably denoted someone who held this quantity of land, and as it was quite a large amount (varying at different periods and in different places, but generally approximately 30 acres, a quarter of a hide), such a person would have been a reasonably prosperous farmer.
Surname or Lastname
English
English : occupational name for a dresser of cloth, Old English fullere (from Latin fullo, with the addition of the English agent suffix). The Middle English successor of this word had also been reinforced by Old French fouleor, foleur, of similar origin. The work of the fuller was to scour and thicken the raw cloth by beating and trampling it in water. This surname is found mostly in southeast England and East Anglia. See also Tucker and Walker.In a few cases the name may be of German origin with the same form and meaning as 1 (from Latin fullare).Americanized version of French Fournier.Samuel Fuller (1589–1633), born in Redenhall, Norfolk, England, was among the Pilgrim Fathers who sailed on the Mayflower in 1620. He was a deacon of the church and until his death functioned as Plymouth Colony’s physician.
Surname or Lastname
English (chiefly Kent and Sussex)
English (chiefly Kent and Sussex) : occupational name for a designer or engineer, from a Middle English reduced form of Old French engineor ‘contriver’ (a derivative of engaigne ‘cunning’, ‘ingenuity’, ‘stratagem’, ‘device’). Engineers in the Middle Ages were primarily designers and builders of military machines, although in peacetime they might turn their hands to architecture and other more pacific functions.German : from the Latin personal name Januarius (see January 1). Jänner is a South German word for ‘January’, and so it is possible that this is one of the surnames acquired from words denoting months of the year, for example by converts who had been baptized in that month, people who were born or baptized in that month, or people whose taxes were due in January.
QUANTILE FUNCTION
QUANTILE FUNCTION
Boy/Male
British, English
Tucker of Cloth
Boy/Male
Buddhist, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi
Lord Buddha
Boy/Male
Sikh
Absorbed in the light of God, Illuminated Love
Girl/Female
Gujarati, Indian, Kannada, Kashmiri
Spring
Female
English
English literary name, created by playwright Colley Cibber in the 17th century, derived from Latin amanda, AMANDA means "lovable."
Girl/Female
Biblical
My pillar.
Girl/Female
Russian
Christian.
Boy/Male
Indian
Distinguished, Preferred
Boy/Male
Indian, Punjabi, Sikh
Light of the Intellect
Boy/Male
British, English
From Windsor
QUANTILE FUNCTION
QUANTILE FUNCTION
QUANTILE FUNCTION
QUANTILE FUNCTION
QUANTILE FUNCTION
n.
Same as Quadrate.
n.
The measure of a syllable; that which determines the time in which it is pronounced; as, the long or short quantity of a vowel or syllable.
n.
Elegance; beauty.
a.
Inhabiting the water.
n.
The relative duration of a tone.
n.
A group of five notes to be played or sung in the time of four of the same species.
n.
The attribute of being so much, and not more or less; the property of being measurable, or capable of increase and decrease, multiplication and division; greatness; and more concretely, that which answers the question "How much?"; measure in regard to bulk or amount; determinate or comparative dimensions; measure; amount; bulk; extent; size.
n.
The extent or extension of a general conception, that is, the number of species or individuals to which it may be applied; also, its content or comprehension, that is, the number of its constituent qualities, attributes, or relations.
n.
A supposed fourth integument of an ovule, counting from the outside.
n.
The aspect of planets when separated the fifth part of the zodiac, or 72¡.
v. t.
To modify or qualify with respect to quantity; to fix or express the quantity of; to rate.
n.
The embryonic sac of an ovule, sometimes regarded as an innermost fifth integument. Cf. Quartine, and Tercine.
v. i.
Same as Cantle, v. t.
n.
A homogeneous algebraic function of two or more variables, in general containing only positive integral powers of the variables, and called quadric, cubic, quartic, etc., according as it is of the second, third, fourth, fifth, or a higher degree. These are further called binary, ternary, quaternary, etc., according as they contain two, three, four, or more variables; thus, the quantic / is a binary cubic.
n.
See Quaintise.
n.
A determinate or estimated amount; a sum or bulk; a certain portion or part; sometimes, a considerable amount; a large portion, bulk, or sum; as, a medicine taken in quantities, that is, in large quantities.
n.
That which can be increased, diminished, or measured; especially (Math.), anything to which mathematical processes are applicable.
n.
Craft; subtlety; cunning.
n.
A roofing tile, of peculiar form, having a transverse section resembling an elongated S laid on its side (/).
v. t.
To take the tiles from; to uncover by removing the tiles.