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Mathematical function for the probability a given outcome occurs in an experiment
In probability theory and statistics, a probability distribution describes how probabilities are assigned to the possible results of a random phenomenon—more
Probability_distribution
Discrete probability distribution
In probability theory and statistics, the Poisson distribution (/ˈpwɑːsɒn/) is a discrete probability distribution that expresses the probability of a
Poisson_distribution
Many probability distributions that are important in theory or applications have been given specific names. The Bernoulli distribution, which takes value
List of probability distributions
List_of_probability_distributions
Probability distribution
In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probability distribution of the number of successes
Binomial_distribution
Type of probability distribution
same probability space, the multivariate or joint probability distribution for X , Y , … {\displaystyle X,Y,\ldots } is a probability distribution that
Joint probability distribution
Joint_probability_distribution
Probability theory and statistics concept
In probability theory and statistics, the conditional probability distribution is a probability distribution that describes the probability of an outcome
Conditional probability distribution
Conditional_probability_distribution
Probability distribution
In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued
Normal_distribution
Probability distribution of the sum of random variables
convolution/sum of probability distributions arises in probability theory and statistics as the operation in terms of probability distributions that corresponds
Convolution of probability distributions
Convolution_of_probability_distributions
Description of continuous random distribution
the probability of the random variable falling within the set of possible values is 100%. The terms probability distribution function and probability function
Probability_density_function
Aspect of probability and statistics
In probability theory and statistics, the marginal distribution of a subset of a collection of random variables is the probability distribution of the
Marginal_distribution
Probability distribution
In probability theory and statistics, the exponential distribution or negative exponential distribution is the probability distribution of the distance
Exponential_distribution
Probability that random variable X is less than or equal to x
In probability theory and statistics, the cumulative distribution function (CDF) of a real-valued random variable X {\displaystyle X} , or just distribution
Cumulative distribution function
Cumulative_distribution_function
Concept in statistics
probability and statistics, a compound probability distribution (also known as a mixture distribution or contagious distribution) is the probability distribution
Compound probability distribution
Compound_probability_distribution
Uniform distribution on an interval
In probability theory and statistics, the continuous uniform distributions or rectangular distributions are a family of symmetric probability distributions
Continuous uniform distribution
Continuous_uniform_distribution
Probability distribution
probability theory and statistics, Student's t distribution (or simply the t distribution) t ν {\displaystyle t_{\nu }} is a continuous probability distribution
Student's_t-distribution
Probability distribution
In probability theory and statistics, the beta distribution is a family of continuous probability distributions defined on the interval [0, 1] or (0, 1)
Beta_distribution
Distribution of an uncertain quantity
A prior probability distribution (often simply called the prior probability, prior distribution, or prior) of an uncertain quantity is its assumed probability
Prior_probability
Probability distribution that has the most entropy of a class
entropy probability distribution has entropy that is at least as great as that of all other members of a specified class of probability distributions. According
Maximum entropy probability distribution
Maximum_entropy_probability_distribution
Conditional probability used in Bayesian statistics
approximated. In Bayesian statistics, the posterior probability is the probability distribution of the parameters θ {\displaystyle \theta } given the
Posterior_probability
Notions of probabilistic convergence, applied to estimation and asymptotic analysis
in distribution tells us about the limit distribution of a sequence of random variables. This is a weaker notion than convergence in probability, which
Convergence of random variables
Convergence_of_random_variables
Wigner distribution function in physics as opposed to in signal processing
the wavefunction that appears in the Schrödinger equation to a probability distribution in phase space. It is a generating function for all spatial autocorrelation
Wigner quasiprobability distribution
Wigner_quasiprobability_distribution
Type of probability distribution
probability distribution is a probability distribution—an assignment of probabilities to possible occurrences—which is unchanged when its probability
Symmetric probability distribution
Symmetric_probability_distribution
Probability distribution modeling a coin toss which need not be fair
In probability theory and statistics, the Bernoulli distribution, named after Swiss mathematician Jacob Bernoulli, is the discrete probability distribution
Bernoulli_distribution
Probability distribution
probability theory and statistics, the geometric distribution is either one of two discrete probability distributions: The probability distribution of
Geometric_distribution
Probability distribution
In probability theory and statistics, the triangular distribution is a continuous probability distribution with lower limit a, upper limit b, and mode
Triangular_distribution
Discrete probability distribution
In probability theory and statistics, the hypergeometric distribution is a discrete probability distribution that describes the probability of k {\displaystyle
Hypergeometric_distribution
Average uncertainty in variable's states
needed to describe the state of the variable, considering the distribution of probabilities across all potential states. Given a discrete random variable
Entropy_(information_theory)
Particular case of the generalized extreme value distribution
In probability theory and statistics, the Gumbel distribution (also known as the type-I generalized extreme value distribution) is used to model the distribution
Gumbel_distribution
Mathematical concept
Probability distribution fitting or simply distribution fitting is the fitting of a probability distribution to a series of data concerning the repeated
Probability distribution fitting
Probability_distribution_fitting
Branch of mathematics concerning probability
Probability theory or probability calculus is the branch of mathematics concerned with probability. Although there are several different probability interpretations
Probability_theory
Continuous probability distribution
In probability theory and statistics, the Weibull distribution /ˈwaɪbʊl/ is a continuous probability distribution. It models a broad range of random variables
Weibull_distribution
Property of having a unique mode or maximum value
object. In statistics, a unimodal probability distribution or unimodal distribution is a probability distribution which has a single peak. The term "mode"
Unimodality
Random process independent of past history
Monte Carlo, which are used for simulating sampling from complex probability distributions, and have found application in areas including Bayesian statistics
Markov_chain
Topics referred to by the same term
Probability distribution function may refer to: Probability distribution, a function that gives the probabilities of occurrence of possible outcomes for
Probability distribution function
Probability_distribution_function
Concept in information theory
discrete probability distribution. The perplexity of a fair coin toss is 2, and that of a fair die roll is 6; and generally, for a probability distribution with
Perplexity
Fourth standardized moment in statistics
refers to the degree of tailedness in the probability distribution of a real-valued, random variable in probability theory and statistics. Similar to skewness
Kurtosis
Probability distribution and special case of gamma distribution
In probability theory and statistics, the χ 2 {\displaystyle \chi ^{2}} -distribution with k {\displaystyle k} degrees of freedom is the distribution of
Chi-squared_distribution
Probability distribution
The Pareto distribution, named after the Italian polymath Vilfredo Pareto, is a probability distribution in the form of a power law that is used to describe
Pareto_distribution
In probability theory, the probability distribution of the sum of two or more independent random variables is the convolution of their individual distributions
List of convolutions of probability distributions
List_of_convolutions_of_probability_distributions
Probability of an event occurring, given that another event has already occurred
In probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption
Conditional_probability
Generalization of the binomial distribution
In probability theory, the multinomial distribution is a generalization of the binomial distribution. For example, it models the probability of counts
Multinomial_distribution
Number measuring the chance an event occurs
Probability concerns events and numerical descriptions of how likely they are to occur. The probability of an event is a number between 0 and 1; the larger
Probability
Concept in statistics
statistics, the concept of the shape of a probability distribution arises in questions of finding an appropriate distribution to use to model the statistical properties
Shape of a probability distribution
Shape_of_a_probability_distribution
Probability distribution of energy states of a system
a Boltzmann distribution (also called Gibbs distribution) is a probability distribution or probability measure that gives the probability that a system
Boltzmann_distribution
Topic in probability theory and statistics
In probability theory and statistics, there are several relationships among probability distributions. These relations can be categorized in the following
Relationships among probability distributions
Relationships_among_probability_distributions
Probability distribution
In probability theory, a log-normal (or lognormal) distribution is a continuous probability distribution of a random variable whose logarithm is normally
Log-normal_distribution
Fourier transform of the probability density function
In probability theory and statistics, the characteristic function of any real-valued random variable completely defines its probability distribution. If
Characteristic function (probability theory)
Characteristic_function_(probability_theory)
Probability distribution
In probability theory and statistics, the negative binomial distribution, also called a Pascal distribution, is a discrete probability distribution that
Negative binomial distribution
Negative_binomial_distribution
Type of mathematical model
probability distribution over the parameter space Θ {\displaystyle \Theta } . A statistical model can sometimes distinguish two sets of probability distributions
Statistical_model
Concept in probability theory
In probability theory, the law (or formula) of total probability is a fundamental rule relating marginal probabilities to conditional probabilities. It
Law_of_total_probability
Probability distribution
In probability theory and statistics, the gamma distribution is a versatile two-parameter family of continuous probability distributions. The exponential
Gamma_distribution
Mathematical method of assigning a prior probability to a given observation
universal prior is a probability distribution over the set of finite binary strings calculated from a probability distribution over programs (that is
Algorithmic_probability
Type of probability distribution
In probability theory, a probability distribution is infinitely divisible if it can be expressed as the probability distribution of the sum of an arbitrary
Infinite divisibility (probability)
Infinite_divisibility_(probability)
Type of probability distribution
In probability theory, the arcsine distribution is the probability distribution whose cumulative distribution function involves the arcsine and the square
Arcsine_distribution
Measure of the asymmetry of random variables
Skewness in probability theory and statistics is a measure of the asymmetry of the probability distribution of a real-valued random variable about its
Skewness
Family of continuous probability distributions
In probability theory, the inverse Gaussian distribution (also known as the Wald distribution) is a two-parameter family of continuous probability distributions
Inverse_Gaussian_distribution
Probability distribution
In probability and statistics, the Dirichlet distribution (after Peter Gustav Lejeune Dirichlet), often denoted Dir ( α ) {\displaystyle \operatorname
Dirichlet_distribution
Family of probability distributions
In probability and statistics, the Tweedie distributions are a family of probability distributions which include the purely continuous normal, gamma and
Tweedie_distribution
Statistical test comparing two probability distributions
one-dimensional probability distributions. It can be used to test whether a sample came from a given reference probability distribution (one-sample K–S
Kolmogorov–Smirnov_test
Interpretation of probability
Bayesian probability (/ˈbeɪziən/ BAY-zee-ən or /ˈbeɪʒən/ BAY-zhən) is an interpretation of the concept of probability, in which, instead of frequency or
Bayesian_probability
Two-parameter family of continuous probability distributions
In probability theory and statistics, the inverse gamma distribution is a two-parameter family of continuous probability distributions on the positive
Inverse-gamma_distribution
Discrete probability distribution
In probability theory and statistics, the beta-binomial distribution is a family of discrete probability distributions on a finite support of non-negative
Beta-binomial_distribution
Probability distribution
probability theory, a degenerate distribution on a measure space ( E , A , μ ) {\displaystyle (E,{\mathcal {A}},\mu )} is a probability distribution whose
Degenerate_distribution
Specific probability distribution function, important in physics
mechanics), the Maxwell–Boltzmann distribution, or Maxwell(ian) distribution, is a particular probability distribution named after James Clerk Maxwell and
Maxwell–Boltzmann distribution
Maxwell–Boltzmann_distribution
Probability distribution
In probability theory, heavy-tailed distributions are probability distributions whose tails are not exponentially bounded: that is, they have heavier tails
Heavy-tailed_distribution
Probability distribution
The Cantor distribution is the probability distribution whose cumulative distribution function is the Cantor function. This distribution has neither a
Cantor_distribution
Measure of total value one, generalizing probability distributions
measure – Probability measurePages displaying short descriptions of redirect targets Set function – Function from sets to numbers Probability distribution An
Probability_measure
theorem. A characterization of a probability distribution accordingly states that it is the only probability distribution that satisfies specified conditions
Characterization of probability distributions
Characterization_of_probability_distributions
Generalization of gamma distribution to multiple dimensions
first formulated the distribution in 1928. Other names include Wishart ensemble (in random matrix theory, probability distributions over matrices are usually
Wishart_distribution
Continuous probability distribution
In probability theory and statistics, the F-distribution or F-ratio, also known as Snedecor's F distribution or the Fisher–Snedecor distribution (after
F-distribution
Probability distribution
In probability theory and statistics, the Rayleigh distribution is a continuous probability distribution for nonnegative-valued random variables. Up to
Rayleigh_distribution
Probability distribution
semicircle distribution, named after the physicist Eugene Wigner, is the probability distribution defined on the domain [−R, R] whose probability density
Wigner semicircle distribution
Wigner_semicircle_distribution
Concept in statistics
quasiprobability distribution is a mathematical object similar to a probability distribution but which relaxes some of Kolmogorov's axioms of probability theory
Quasiprobability_distribution
Discrete-variable probability distribution
probability density function. The probability mass function is often the primary means of defining a discrete probability distribution, and such functions exist
Probability_mass_function
Possible result of an experiment or trial
or experiment Probability distribution – Mathematical function for the probability a given outcome occurs in an experiment Probability space – Mathematical
Outcome_(probability)
Probability distribution
In probability theory and statistics, the half-normal distribution is a special case of the folded normal distribution. Let X {\displaystyle X} follow
Half-normal_distribution
Statistical distribution
In probability and statistics, the reciprocal distribution, also known as the log-uniform distribution, is a continuous probability distribution. It is
Reciprocal_distribution
Value that appears most often in a set of data
frequently. A mode of a continuous probability distribution is often considered to be any value x at which its probability density function has a locally
Mode_(statistics)
Ensemble of states at a constant temperature
thermodynamic variable of the canonical ensemble, determining the probability distribution of states, is the absolute temperature (symbol: T). The ensemble
Canonical_ensemble
Mathematical rule for inverting probabilities
Chances. Bayes studied how to compute a distribution for the probability parameter of a binomial distribution (in modern terminology). After Bayes's death
Bayes'_theorem
Concept in probability theory
In Bayesian probability theory, if, given a likelihood function p ( x ∣ θ ) {\displaystyle p(x\mid \theta )} , the posterior distribution p ( θ ∣ x )
Conjugate_prior
Statistical function that defines the quantiles of a probability distribution
In probability and statistics, a probability distribution's quantile function is the inverse of its cumulative distribution function. That is, the quantile
Quantile_function
In mathematics, a quantitative measure of the shape of a set of points
the second moment is the moment of inertia. If the function is a probability distribution, then the first moment is the expected value, the second central
Moment_(mathematics)
Probability distribution with high skewness or kurtosis
fat-tailed distribution is a probability distribution that exhibits a large skewness or kurtosis, relative to that of either a normal distribution or an exponential
Fat-tailed_distribution
Type of probability distribution
In probability and statistics, a mixture distribution is the probability distribution of a random variable that is derived from a collection of other random
Mixture_distribution
Term in statistical hypothesis testing
{\displaystyle H_{1}} defines its own probability distribution for t (the difference between the two distributions being a function of the effect size)
Power_(statistics)
Distribution function associated with the empirical measure of a sample
distribution function is an estimate of the cumulative distribution function that generated the points in the sample. It converges with probability 1
Empirical distribution function
Empirical_distribution_function
Variable representing a random phenomenon
and its distribution is a discrete probability distribution, i.e. can be described by a probability mass function that assigns a probability to each value
Random_variable
Probability distribution
In probability theory, a logit-normal distribution is a probability distribution of a random variable whose logit has a normal distribution. If Y is a
Logit-normal_distribution
Probability distribution
In probability theory and statistics, the Lévy distribution, named after Paul Lévy, is a continuous probability distribution for a non-negative random
Lévy_distribution
Probability distribution of the possible sample outcomes
In statistics, a sampling distribution or finite-sample distribution is the probability distribution of a given random-sample-based statistic. For an arbitrarily
Sampling_distribution
Probability distribution with more than one mode
statistics, a multimodal distribution is a probability distribution with more than one mode (i.e., more than one local peak of the distribution). These appear as
Multimodal_distribution
Table of probabilities related to the normal distribution
the values of Φ, the cumulative distribution function of the normal distribution. It is used to find the probability that a statistic is observed below
Standard_normal_table
Probability distribution on the circle
In probability theory and directional statistics, the von Mises distribution (also known as the circular normal distribution or the Tikhonov distribution)
Von_Mises_distribution
Discrete probability distribution
In probability theory and statistics, a categorical distribution (also called a generalized Bernoulli distribution, multinoulli distribution) is a discrete
Categorical_distribution
Probability distribution
In probability theory and statistics, the Laplace distribution is a continuous probability distribution named after Pierre-Simon Laplace. It is also sometimes
Laplace_distribution
Continuous probability distribution, named after Benjamin Gompertz
In probability and statistics, the Gompertz distribution is a continuous probability distribution, named after Benjamin Gompertz. The Gompertz distribution
Gompertz_distribution
Functional relationship between two quantities
These power-law probability distributions are also called Pareto-type distributions, distributions with Pareto tails, or distributions with regularly varying
Power_law
Generalization of the one-dimensional normal distribution to higher dimensions
In probability theory and statistics, the multivariate normal distribution, multivariate Gaussian distribution, or joint normal distribution is a generalization
Multivariate normal distribution
Multivariate_normal_distribution
Probability distribution
The Cauchy distribution, named after Augustin-Louis Cauchy, is a continuous probability distribution. It is also known, especially among physicists, as
Cauchy_distribution
PROBABILITY DISTRIBUTION
PROBABILITY DISTRIBUTION
Surname or Lastname
English
English : habitational name from a place in Devon, recorded in Domesday Book as Loba, apparently a topographical term meaning perhaps ‘lump’, ‘hill’, the village being situated at the bottom of a hill. There is also a place of the same name in Oxfordshire (recorded in 1208 as Lobbe), but the historical and contemporary distribution of the surname (which is still largely restricted to Devon), makes it unlikely that it ever derived from this place, or from Middle English, Old English lobbe ‘spider’.
Surname or Lastname
English
English : habitational name from the place in Bedfordshire (named in Old English as ‘settlement (Old English tūn) on the (river) Lea’), or, more plausibly in view of the pattern of distribution, from Luton in Devon (near Teignmouth), named in Old English as ‘Lēofgifu’s settlement’ (from an Old English female personal name composed of the elements lēof ‘dear’, ‘beloved’ + gifu ‘gift’). A further possible source of the name is Luton in Kent, named as the ‘settlement of Lēofa’.
Surname or Lastname
English (West Yorkshire)
English (West Yorkshire) : topographic name for someone who lived in a long valley, from Middle English long + botme, bothem ‘valley bottom’. Given the surname’s present-day distribution, Longbottom in Luddenden Foot, West Yorkshire, may be the origin, but there are also two places called Long Bottom in Hampshire, two in Wiltshire, and Longbottom Farm in Somerset and in Wiltshire.
Surname or Lastname
English (Cambridge)
English (Cambridge) : unexplained; perhaps a habitational name from a lost or unidentified place. There are two places in England called Warland, in Durham and West Yorkshire, but the distribution of the modern surname suggests that a different souce is most probably involved.
Surname or Lastname
English
English : habitational name from either of two places in Devon named Hunnacott, from either the Old English personal name HunÄ or Old English hunig ‘honey’ + cot ‘cottage’. There is also a place named Huncoat in Lancashire, which has the same origin, but the distribution of the surname in England suggests that it probably did not contribute to the surname.
Surname or Lastname
English (chiefly West Midlands)
English (chiefly West Midlands) : habitational name from any of the various places so called, from Old English sūð ‘south’ + halh ‘nook’, ‘recess’. The distribution of the surname in Britain makes a Midlands origin likely: places called Southall in Doverdale, Worcestershire, and Billingsley, Shropshire, are possible sources.
Surname or Lastname
English
English : of uncertain derivation. The 18th-century parish registers of Marske, North Yorkshire, record the surname Hartburn with the variant Harburn; Harben may be a further variant of this. If so, its origin is probably topographic or habitational, from East Hartburn in Stockton-on-Tees or Hartburn in Northumberland, both named from Old English heorot ‘hart’ + burna ‘steam’. However, this conjecture is not borne out by the distribution of the surname a century later, when it occurs chiefly in Cambridgeshire and London and also with a significant presence in the Channel Islands, perhaps suggesting that it could be a variant of Harpin.
Surname or Lastname
English (Lincolnshire)
English (Lincolnshire) : unexplained. Black identified this as a Scottish name of Pictish origin. However, the modern distribution of the surname, almost exclusively in Lincolnshire and adjoining counties, suggests a more localized eastern English origin.
Surname or Lastname
English (Lancashire)
English (Lancashire) : habitational name from a place so called, perhaps Forshaw Heath in Solihull, Warwickshire, although the modern distribution is much further north.
Surname or Lastname
English
English : habitational name from any of various places named with this word: Hazleton Bottom (Hertfordshire), Hazleton Wood (Essex), or Hazelton (Gloucestershire), which is named from Old English hæsel ‘hazel’ + tūn ‘farmstead’, ‘settlement’. The present-day distribution of the surname points to the places in Essex and Gloucester as the likely sources.
Surname or Lastname
English
English : habitational name from a place in West Yorkshire, probably named with the genitive case of the Old English personal name StÄn ‘stone’, a byname or short form of any of various compound names with this as the first element (compare, for example, Stammer, Stannard) + Old English feld ‘pasture’, ‘open country’.English : alternatively, it may be a topographic name from Middle English stanesfeld ‘open country of the (standing) stone’, with reference to a prominent monolith. There are other places so called, for example in Suffolk, but the distribution suggests that the one in Yorkshire is the source of the surname.
Surname or Lastname
English
English : habitational name from Dearham in Cumbria or Dyrham in Gloucestershire, named from Old English dÄ“or ‘deer’ + hÄm ‘settlement’, ‘homestead’, or hamm ‘enclosure hemmed in by water’, ‘river meadow’. There are places in Norfolk called East and West Dereham, which have the same etymology. However, the present-day distribution of the surname suggests that they probably did not contribute to the surname.Irish (mainly Dublin, Drogheda, and Cork) : of English origin, but MacLysaght takes this to be a variant of Durham.
Surname or Lastname
English (Yorkshire)
English (Yorkshire) : in all probability from the Swale river in Yorkshire. (Reaney and Wilson list a 17th-century example, Swayles, with this origin.) Alternatively, it may be a metronymic from the Old Norse female personal name Svala.
Surname or Lastname
English
English : of uncertain origin. Reaney suggests that it may be habitational name from Wincheap Street in Canterbury, but this origin is not supported by the present-day distribution of the surname, which is heavily concentrated in northeastern England.
Surname or Lastname
English
English : habitational name for someone from a place called Elham, in Kent, or a lost place of this name in Crayford, Kent. The first is derived from Old English Ç£l ‘eel’ + hÄm ‘homestead’ or hamm ‘enclosure hemmed in by water’. There is also an Elam Grange in Bingley, West Yorkshire, but the current distribution of the name in the British Isles suggests that it did not contribute significantly to the surname.
Surname or Lastname
English
English : habitational name from places so called in North Yorkshire, Hampshire, and Kent. The Yorkshire place is named from the Old English personal name Hūna + tūn ‘enclosure’, ‘settlement’; that in Hampshire from the genitive plural of hund ‘hound’ + tūn ‘enclosure’, ‘settlement’; and the Kentish place from Old English huntena, genitive plural of hunta ‘hunter’ + dūn ‘hill’. The present-day distribution shows clusters in North and South Yorkshire, and also in Norfolk.
Surname or Lastname
English (Yorkshire)
English (Yorkshire) : apparently a habitational name from a lost or unidentified minor place in West Yorkshire, probably in the parish of Halifax, to judge by the distribution of early occurrences of the surname.
Surname or Lastname
English (Devon)
English (Devon) : unexplained. Reaney and Wilson suggest that this may be from an Anglo-Scandinavian personal name Tukka, but the distribution in England makes a Scandinavian connection unlikely.
Surname or Lastname
English
English : habitational name from a place named in Old English with hÄlig ‘holy’ + Old English feld ‘open country’. This may be Holyfield in Essex (which belonged to Waltham Abbey), but the present-day distribution of the name (mainly in the Midlands and Wales) suggests that another source may be involved.
Surname or Lastname
English
English : in all probability an English variant of Scottish Lachlan (see McLachlan), altered through folk etymology. However, Black cites one John sine terra (c. 1180–1214), suggesting that the surname could have arisen quite literally as a nickname for a man with no land.
PROBABILITY DISTRIBUTION
PROBABILITY DISTRIBUTION
Surname or Lastname
English and Welsh
English and Welsh : variant of Glascock.
Girl/Female
Muslim African Egyptian Arabic
Respected. Darling.
Boy/Male
Indian, Sanskrit
Having Beautiful Hair
Girl/Female
Biblical
The five books of Moses.
Male
Norse
Old Norse equivalent of Germanic Hrolf, HRÓLFR means "famous wolf."
Boy/Male
Arabic, Australian, Muslim
Immortal; Love
Boy/Male
Scottish
Smith.
Boy/Male
Tamil
Girl/Female
Muslim
The effusion of them, A high heap
Girl/Female
Greek
One of the names of the mythological moon goddess Artemis referring to her birth on Mount Cynthus.
PROBABILITY DISTRIBUTION
PROBABILITY DISTRIBUTION
PROBABILITY DISTRIBUTION
PROBABILITY DISTRIBUTION
PROBABILITY DISTRIBUTION
n.
The quality or state of being probable; appearance of reality or truth; reasonable ground of presumption; likelihood.
a.
Presumptive; as, an antecedent improbability.
n.
The want of likelihood; improbability.
adv.
By presumption, or supposition grounded or probability; presumably.
n.
Probability.
superl.
Having probability; affording probability; probable; likely.
n.
Probability; verisimilitude.
pl.
of Probability
n.
One who maintains that a man may do that which has a probability of being right, or which is inculcated by teachers of authority, although other opinions may seem to him still more probable.
n.
Likelihood of the occurrence of any event in the doctrine of chances, or the ratio of the number of favorable chances to the whole number of chances, favorable and unfavorable. See 1st Chance, n., 5.
n.
The doctrine of the probabilists.
n.
Probability.
n.
Appearance of truth or reality; probability; verisimilitude.
n.
One who maintains that certainty is impossible, and that probability alone is to govern our faith and actions.
n.
The quality or state of being portable; fitness to be carried.
n.
Probability; likelihood.
n.
Likelihood; probability.
adv.
In all probability; probably.
pl.
of Improbability
n.
That which is or appears probable; anything that has the appearance of reality or truth.