AI & ChatGPT searches , social queriess for PROBABILITY MASS-FUNCTION
Search references for PROBABILITY MASS-FUNCTION. Phrases containing PROBABILITY MASS-FUNCTION
See searches and references containing PROBABILITY MASS-FUNCTION!
Search references for PROBABILITY MASS-FUNCTION. Phrases containing PROBABILITY MASS-FUNCTION
See searches and references containing PROBABILITY MASS-FUNCTION!PROBABILITY MASS-FUNCTION
Discrete-variable probability distribution
In probability and statistics, a probability mass function (sometimes called probability function or frequency function) is a function that gives the
Probability_mass_function
Power series derived from a discrete probability distribution
(the generating function) of the probability mass function of the random variable. Probability generating functions are often employed for their succinct
Probability generating function
Probability_generating_function
Description of continuous random distribution
In probability theory, a probability density function (PDF), density function, or simply density of an absolutely continuous random variable, is a function
Probability_density_function
Type of probability distribution
terms of a joint probability density function (in the case of continuous variables) or joint probability mass function (in the case of discrete variables)
Joint probability distribution
Joint_probability_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
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)
Mathematical function for the probability a given outcome occurs in an experiment
practice, probability distributions are often described by functions such as cumulative distribution functions, probability mass functions, or probability density
Probability_distribution
Probability distribution
The probability of getting exactly k successes in n independent Bernoulli trials (with the same rate p) is given by the probability mass function: f (
Binomial_distribution
Topics referred to by the same term
Probability measure, a real-valued function on a probability space Probability mass function Probability distribution function (disambiguation) This disambiguation
Probability_function
Topics referred to by the same term
experiment Probability density function, a local differential probability measure for continuous random variables Probability mass function (a.k.a. discrete
Probability distribution function
Probability_distribution_function
Discrete probability distribution
{\displaystyle X} follows the hypergeometric distribution if its probability mass function (pmf) is given by p X ( k ) = Pr ( X = k ) = ( K k ) ( N − K n
Hypergeometric_distribution
Probability distribution
To understand the above definition of the probability mass function, note that the probability for every specific sequence of r successes and k failures
Negative binomial distribution
Negative_binomial_distribution
Probability distribution
Its probability mass function depends on its parameterization and support. When supported on N {\displaystyle \mathbb {N} } , the probability mass function
Geometric_distribution
Probability theory and statistics concept
included variables. For discrete random variables, the conditional probability mass function of Y {\displaystyle Y} given X = x {\displaystyle X=x} can be
Conditional probability distribution
Conditional_probability_distribution
Value that appears most often in a set of data
discrete random variable, the mode is the value x at which the probability mass function P(X) takes its maximum value, i.e., x = argmaxxi P(X = xi). In
Mode_(statistics)
done by hand, involves a discrete probability distribution, which is characterized by a probability mass function. The density of the sum of two independent
Illustration of the central limit theorem
Illustration_of_the_central_limit_theorem
Discrete probability distribution
distribution with parameter λ > 0 {\displaystyle \lambda >0} if it has a probability mass function given by: f ( k ; λ ) = Pr ( X = k ) = λ k e − λ k ! , {\displaystyle
Poisson_distribution
Variable representing a random phenomenon
distribution is a discrete probability distribution, i.e. can be described by a probability mass function that assigns a probability to each value in the image
Random_variable
Concept in probability theory and statistics
In probability theory and statistics, the moment generating function of a real-valued random variable is a generating function that provides an alternative
Moment_generating_function
Aspect of probability and statistics
If X1,X2,…,Xn are discrete random variables, then the marginal probability mass function should be p X i ( k ) = ∑ p ( x 1 , x 2 , … , x i − 1 , k , x
Marginal_distribution
Function related to statistics and probability theory
and continuous probability distributions (a more general definition is discussed below). Given a probability density or mass function x ↦ f ( x ∣ θ )
Likelihood_function
Probability distribution
f(p_{1:2^{b}})=f(p_{1:2^{b-1}})*f(p_{2^{b-1}+1:2^{b}})} . More generally, the probability mass function of a Poisson binomial can be expressed as the convolution of the
Poisson_binomial_distribution
joint probability mass function or probability density function as f ( x , y ) {\displaystyle f(x,y)} and joint cumulative distribution function as F (
Notation in probability and statistics
Notation_in_probability_and_statistics
Quantity in information theory
Formally, given a discrete random variable X {\displaystyle X} with probability mass function p X ( x ) {\displaystyle p_{X}{\left(x\right)}} , the self-information
Information_content
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
Topics referred to by the same term
when they initially form, before evolution Probability mass function, a function that gives the probability that a discrete random variable is exactly
Mass_function
Average uncertainty in variable's states
entropy H ( p ) {\displaystyle \mathrm {H} (p)} is concave in the probability mass function p {\displaystyle p} , i.e. H ( λ p 1 + ( 1 − λ ) p 2 ) ≥ λ H (
Entropy_(information_theory)
Complex number whose squared absolute value is a probability
proposed by Max Born, in 1926. Interpretation of values of a wave function as the probability amplitude is a pillar of the Copenhagen interpretation of quantum
Probability_amplitude
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
Generalization of the binomial distribution
k) as Xi, and denote as pi the probability that a given extraction will be in color i. The probability mass function of this multinomial distribution
Multinomial_distribution
Probability distribution of the sum of random variables
distributions. The term is motivated by the fact that the probability mass function or probability density function of a sum of independent random variables is the
Convolution of probability distributions
Convolution_of_probability_distributions
Probability distribution modeling a coin toss which need not be fair
{\begin{aligned}\Pr(X{=}1)&=p,\\\Pr(X{=}0)&=q=1-p.\end{aligned}}} The probability mass function f {\displaystyle f} of this distribution, over possible outcomes
Bernoulli_distribution
Concept in statistics
a probability density function or probability mass function f ( x − x 0 ) {\displaystyle f(x-x_{0})} ; or having a cumulative distribution function F
Location_parameter
Statistical probability Distribution for discrete event counts
The probability distribution of the random variable Y = X1 + 2X2 is the Hermite distribution with parameters a1 and a2 and probability mass function is
Hermite_distribution
Probability distribution
density function nor a probability mass function, since although its cumulative distribution function is a continuous function, the distribution is not
Cantor_distribution
In mathematics, a quantitative measure of the shape of a set of points
function in mathematics are certain quantitative measures related to the shape of the function's graph. For example, if the function represents mass density
Moment_(mathematics)
Discrete probability distribution
Karlis & Ntzoufras (2003) for details and an application. The probability mass function for the Skellam distribution for a difference K = N 1 − N 2 {\displaystyle
Skellam_distribution
Probability distribution
The CMP distribution is defined to be the distribution with probability mass function P ( X = x ) = f ( x ; λ , ν ) = λ x ( x ! ) ν 1 Z ( λ , ν ) .
Conway–Maxwell–Poisson distribution
Conway–Maxwell–Poisson_distribution
Type of probability distribution
unchanged when its probability density function (for continuous probability distribution) or probability mass function (for discrete random variables) is
Symmetric probability distribution
Symmetric_probability_distribution
Discrete probability distribution
{-1}{\ln(1-p)}}\;{\frac {p^{k}}{k}}=1.} This leads directly to the probability mass function of a Log(p)-distributed random variable: f ( k ) = − 1 ln (
Logarithmic_distribution
Statistical approximation method
approximation formula for any PDF or probability mass function of a distribution, based on the moment generating function. There is also a formula for the
Saddlepoint approximation method
Saddlepoint_approximation_method
Variable used for specification
Poisson distribution with mean value λ". The function defining the distribution (the probability mass function) is: f ( k ; λ ) = e − λ λ k k ! . {\displaystyle
Parameter
Conditional Poisson distribution restricted to positive integers
distribution with the truncation stipulated as k > 0, one can derive the probability mass function g(k;λ) from a standard Poisson distribution f(k;λ) as follows:
Zero-truncated Poisson distribution
Zero-truncated_Poisson_distribution
Probability of survival beyond any specified time
The survival function is a function that gives the probability that a patient, device, or other object of interest will survive past a certain time. The
Survival_function
Probability distribution in mathematics
with parameter s, then the probability that X takes the positive integer value k is given by the probability mass function f s ( k ) = k − s ζ ( s ) {\displaystyle
Zeta_distribution
Probability distribution in chemistry
in an ideal step-growth polymerization process. The probability mass function (pmf) for the mass fraction of chains of length k {\displaystyle k} is:
Flory–Schulz_distribution
Probability distribution
t ν {\displaystyle t_{\nu }} has heavier tails, and the amount of probability mass in the tails is controlled by the parameter ν {\displaystyle \nu }
Student's_t-distribution
Concept in probability theory
L1 distance between the probability functions: on discrete domains, this is the distance between the probability mass functions δ ( P , Q ) = 1 2 ∑ x |
Total variation distance of probability measures
Total_variation_distance_of_probability_measures
Convergence in distribution of binomial to normal distribution
certain conditions. In particular, the theorem shows that the probability mass function of the random number of "successes" observed in a series of n
De_Moivre–Laplace_theorem
distributions. The term is motivated by the fact that the probability mass function or probability density function of a sum of independent random variables is the
List of convolutions of probability distributions
List_of_convolutions_of_probability_distributions
Set of quantities in probability theory
In probability theory and statistics, the cumulants κn of a probability distribution are a set of quantities that provide an alternative to the moments
Cumulant
Discrete probability distribution
Simon. Simon originally called it the Yule distribution. The probability mass function (pmf) of the Yule–Simon (ρ) distribution is f ( k ; ρ ) = ρ B
Yule–Simon_distribution
Value for the flow of probability in quantum mechanics
current (i.e. the probability current density) is related to the probability density function via a continuity equation. The probability current is invariant
Probability_current
Probability distribution in number theory
bound on the rate of convergence in 1929. It is given by the probability mass function p ( k ) = − log 2 ( 1 − 1 ( k + 1 ) 2 ) . {\displaystyle p(k)=-\log
Gauss–Kuzmin_distribution
Property of having a unique mode or maximum value
in the sequence of differences of the probabilities. A discrete distribution with a probability mass function, { p n : n = … , − 1 , 0 , 1 , … } {\displaystyle
Unimodality
Vector with non-negative entries that add up to one
distribution of probabilities across the n possible numerical outcomes of a random variable. The vector gives us the probability mass function of that random
Probability_vector
Probability distribution
real parameters p, r with 0 < p ≤ 1 and –m < r < –m + 1, the probability mass function of the ExtNegBin(m, r, p) distribution is given by f ( k ; m
Extended negative binomial distribution
Extended_negative_binomial_distribution
Mathematical concept
of the newly obtained probability mass function can also be determined. The variance for a Bayesian probability mass function can be defined as σ P θ
Probability distribution fitting
Probability_distribution_fitting
Theorem in probability and statistics
question. If the distribution of X is discrete and one knows its probability mass function pX, then the expected value of g(X) is E [ g ( X ) ] = ∑ x g
Law of the unconscious statistician
Law_of_the_unconscious_statistician
Family of stochastic processes
particular distribution. As an example, a single die represents a probability mass function (pmf), so a bag of 100 real-world dice is a collection of random
Dirichlet_process
Constant a such that af(x) is a probability measure
non-negative function must be multiplied so the area under its graph is 1, e.g., to make it a probability density function or a probability mass function. If we
Normalizing_constant
algebra Probability distribution Probability distribution function Probability density function Probability mass function Cumulative distribution function Quantile
List_of_probability_topics
Probability distribution for branching processes
to have a Borel distribution with parameter μ ∈ [0,1] if the probability mass function of X is given by P μ ( n ) = Pr ( X = n ) = e − μ n ( μ n ) n
Borel_distribution
Topics referred to by the same term
Mass point may refer to: Mass point geometry Point mass in physics The values of a probability mass function in probability and statistics This disambiguation
Mass_point
Function in discrete mathematics
be considered to represent a discrete probability mass function of n, with an associated probability mass function constructed from the transformed variable
Discrete_Fourier_transform
Class of statistical models
}}} and τ {\displaystyle \tau } , whose density functions f (or probability mass function, for the case of a discrete distribution) can be expressed in
Generalized_linear_model
by spreading out one or more portions of A's probability density function or probability mass function while leaving the mean (the expected value) unchanged
Mean-preserving_spread
Discrete probability distribution
mathematician Benoit Mandelbrot, who subsequently generalized it. The probability mass function is given by f ( k ; N , q , s ) = 1 H N , q , s 1 ( k + q ) s
Zipf–Mandelbrot_law
distribution, is a generalization of the Poisson distribution. The probability mass function is P ( X = n ) = { e − λ λ n + r ( n + r ) ! ⋅ 1 I ( r , λ )
Displaced Poisson distribution
Displaced_Poisson_distribution
The classical probability density is the probability density function that represents the likelihood of finding a particle in the vicinity of a certain
Classical_probability_density
Device invented by Francis Galton
k {\displaystyle {n \choose k}p^{k}(1-p)^{n-k}} . This is the probability mass function of a binomial distribution. The number of rows correspond to the
Galton_board
Probability distribution
random variable equal to a with probability 1. This is a special case of a discrete distribution; its probability mass function equals 1 in a and 0 everywhere
Degenerate_distribution
Proposition in statistics
x~} . The density function may be a density with respect to counting measure, i.e. a probability mass function. Two likelihood functions are equivalent if
Likelihood_principle
Concept in probability theory
prior can generally be determined by inspection of the probability density or probability mass function of a distribution. For example, consider a random variable
Conjugate_prior
Discrete probability distribution
Bernoulli distribution, which uses {0, 1}. In this case, the probability mass function f is: f ( x = i ∣ p ) = p i , {\displaystyle f(x=i\mid {\boldsymbol
Categorical_distribution
Concept in statistics
a probability density function (pdf) or probability mass function (pmf) is the form of the pdf or pmf in which any factors that are not functions of
Kernel_(statistics)
Compound Poisson-family discrete probability distribution
develops, we must bear in mind that the probability mass function is calculated from the probability generating function, and use the property of Stirling Numbers
Neyman_Type_A_distribution
Statistical measure of how far values spread from their average
generator of 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
Variance
Scientific study of digital information
_{p\rightarrow 0^{+}}p\log p=0} for any logarithmic base. Based on the probability mass function of a source, the Shannon entropy H, in units of bits per symbol
Information_theory
Family of probability distributions
variable X {\displaystyle X} whose probability distribution function belongs to such a family, the distribution function of Y = d a + b X {\displaystyle
Location–scale_family
Concept in information processing
{\displaystyle X} . Specifically, we have such a Markov chain if the joint probability mass function can be written as p ( x , y , z ) = p ( x ) p ( y | x ) p ( z
Data_processing_inequality
Mathematical function of two variables; outputs 1 if they are equal, 0 otherwise
x_{n}\}} , with corresponding probabilities p 1 , ⋯ , p n {\displaystyle p_{1},\cdots ,p_{n}} , then the probability mass function p ( x ) {\displaystyle p(x)}
Kronecker_delta
Empirical function in astronomy
IMF is often given as a probability density function (PDF) that describes the probability for a star to have a certain mass during its formation. It
Initial_mass_function
Measure of inequality of a statistical distribution
the population Gini coefficient. For a discrete probability distribution with probability mass function f ( y i ) , {\displaystyle f(y_{i}),} i = 1 , …
Gini_coefficient
Moment of a random variable minus its mean
expectation operator. For a continuous univariate probability distribution with probability density function f(x), the n-th moment about the mean μ is μ n
Central_moment
Statistical model for count data
(Y\mid x)=e^{\theta 'x},\,} and thus, the Poisson distribution's probability mass function is given by p ( y ∣ x ; θ ) = λ y y ! e − λ = e y θ ′ x e − e
Poisson_regression
the expression of the probability mass function in the table above. Closed form expressions for the probability mass function exist (Lyons, 1980), but
Wallenius' noncentral hypergeometric distribution
Wallenius'_noncentral_hypergeometric_distribution
Mathematical function
controls the width of the "bell". Gaussian functions are often used to represent the probability density function of a normally distributed random variable
Gaussian_function
Algorithm for statistical inference on graphical models
X 1 , … , X n {\displaystyle X_{1},\ldots ,X_{n}} with joint probability mass function p {\displaystyle p} , a common task is to compute the marginal
Belief_propagation
Expressing a measure as an integral of another
Radon–Nikodym set Probability density function – the Radon-Nikodym derivative of an absolutely continuous probability distribution Probability mass function – the
Radon–Nikodym_theorem
Topics referred to by the same term
a disease affecting the bone marrow Probability mass function, in statistics, function giving the probability that a variable takes a particular value
PMF
Set of probability measures
[K(X)]}\sum _{x}f(x)p(x)} where p {\displaystyle p} denotes a probability mass function. It is easy to see that a credal set over a Boolean variable X
Credal_set
Averages of repeated trials converge to the expected value
feature of the probability distribution. By applying Borel's law of large numbers, one could easily obtain the probability mass function. For each event
Law_of_large_numbers
Equation describing the transport of some quantity
(rather than momentum space), that is, a function of position r and time t, Ψ = Ψ(r, t). The probability density function is ρ ( r , t ) = Ψ ∗ ( r , t ) Ψ (
Continuity_equation
variable and its distribution can be described by a probability mass function which assigns a probability to each value in the image of X {\displaystyle X}
Random_element
Probabilistic graphical models based on imprecise probability
imprecise probability. Credal networks can be regarded as an extension of Bayesian networks, where credal sets replace probability mass functions in the
Credal_network
Algebraic expansion of powers of a binomial
theorem is closely related to the probability mass function of the negative binomial distribution. The probability of a (countable) collection of independent
Binomial_theorem
probability mass function and random variable generating function. SAS System includes univariate probability mass function and distribution function
Fisher's noncentral hypergeometric distribution
Fisher's_noncentral_hypergeometric_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
Discrete probability distribution
{\displaystyle X} follows the negative hypergeometric distribution if its probability mass function (pmf) is given by f ( k ; N , K , r ) ≡ Pr ( X = k ) = ( k + r
Negative hypergeometric distribution
Negative_hypergeometric_distribution
PROBABILITY MASS-FUNCTION
PROBABILITY MASS-FUNCTION
Surname or Lastname
English and Welsh
English and Welsh : from the personal name Moss, a Middle English vernacular form of the Biblical name Moses.English and Scottish : topographic name for someone who lived by a peat bog, Middle English, Old English mos, or a habitational name from a place named with this word. (It was not until later that the vocabulary word came to denote the class of plants characteristic of a peat-bog habitat, under the influence of the related Old Norse word mosi.)Americanized form of Moses or some other like-sounding Jewish surname.Irish (Ulster) : part translation of Gaelic Ó Maolmhóna ‘descendant of Maolmhóna’, a personal name composed of the elements maol ‘servant’, ‘tonsured one’, ‘devotee’ + a second element which was assumed to be móin (genitive móna) ‘moorland’, ‘peat bog’.
Surname or Lastname
English
English : from a pet form of the medieval personal name Pascal, which was brought to England from France.German : topographic name from Pass ‘pass’, ‘passage’ (from Middle Low German pas ‘pace’, ‘passage way’, ‘water gauge’).Jewish (Ashkenazic) : metonymic occupational name or nickname from Yiddish and Polish pas ‘belt’, ‘girdle’.
Female
Japanese
(1-æ£, 2-é›…, 3-昌, 4-真, 5-政, 6-å°†) Unisex short form of Japanese names beginning with Masa-, MASA means 1) "correct, just," 2) "elegant," 3) "flourishing, prosperous" 4) "genuine, true," 5) "governing, political," 6) "military." Compare with strictly masculine Masa.
Male
English
 English surname transferred to forename use, derived from medieval Jewish Moss (2), MOSS means "drawn out." Compare with another form of Moss.
Surname or Lastname
English
English : patronymic from the personal name May (see May).
Male
Hebrew
 Medieval Jewish form of Hebrew Moshe, MOSS means "drawn out." Compare with another form of Moss.
Male
Hebrew
(מַשָׂ×) Variant spelling of Hebrew Massa, MASA means "burden." Compare with another form of Masa.
Male
Japanese
(1-æ£, 2-é›…, 3-昌, 4-真, 5-政, 6-å°†) Unisex short form of Japanese names beginning with Masa-, MASA means 1) "correct, just," 2) "elegant, splendid" 3) "flourishing, prosperous" 4) "genuine, true," 5) "governing, political," 6) "military." Compare with another form of Masa.
Surname or Lastname
English
English : from the medieval female personal name Cass, a short form of Cassandra. This was the name (of uncertain, possibly non-Greek, origin) of an ill-fated Trojan prophetess of classical legend, condemned to foretell the future but never be believed; her story was well known and widely popular in medieval England.
Male
Hebrew
(מַשָׂ×) Hebrew name MASSA means "burden." In the bible, this is the name of a son of Ishmael.
Female
English
English short form of Latin Cassandra, CASS means "she who entangles men."Â
Surname or Lastname
English
English : variant of Marsh.Americanized spelling of German Masch.Jewish (Ashkenazic) : unexplained; possibly an acronymic name.
Male
Swedish
Norwegian and Swedish form of Greek Mattathias, MATS means "gift of God."
Surname or Lastname
English
English : status name denoting a serf, Middle English, Old French vass(e), from Late Latin vassus, of Celtic origin. Compare Welsh gwas ‘boy’, Gaelic foss ‘servant’.English : variant of Vause.Swedish : variant of Wass.South German : variant of Fass.Hungarian : from vas ‘iron’, hence a metonymic occupational name for a blacksmith, or a nickname for a resilient, tough man.
Surname or Lastname
English
English : variant of Marsh.French : habitational name from places so named in Ardèche, Ardennes, Gard, Loire, Nièvre, and Meurthe-et-Moselle, from the Latin personal name Marcius, used adjectivally.French : from the personal name Meard, Mard, Mart, vernacular forms of the saint’s name Médard. Morlet notes that there are a number of places called Saint-Mars, formerly recorded in Latin as Sanctus Medardus.French : from the name of the month, mars ‘ March’, denoting seed sown in March, and hence a metonymic name for an arable grower.French (De Mars) : habitational name from Mars in the Ardennes.Dutch : from a short form of the personal name Marsilius.
Surname or Lastname
English
English : from Old French bas(se) ‘low’, ‘short’ (Latin bassus ‘thickset’; see Basso), either a descriptive nickname for a short person or a status name meaning ‘of humble origin’, not necessarily with derogatory connotations.English : in some instances, from Middle English bace ‘bass’ (the fish), hence a nickname for a person supposedly resembling this fish, or a metonymic occupational name for a fish seller or fisherman.Scottish : habitational name from a place in Aberdeenshire, of uncertain origin.Jewish (Ashkenazic) : metonymic occupational name for a maker or player of bass viols, from Polish, Ukrainian, and Yiddish bas ‘bass viol’.German : see Basse.
Surname or Lastname
German and Dutch
German and Dutch : from a pet form of the personal name Thomas.English : unexplained.
Boy/Male
Arabic, Muslim, Pashtun
Gul - Flowers; Mast - Excitement
Surname or Lastname
English
English : variant of Mace 1.French (Picardy) : metonymic occupational name from masse ‘mace’, ‘hammer’.French : habitational name from places called Masse (Allier and Cô-d’Or), or La Masse (Eure, Lot, Puy-de-Dôme, Saône-et-Loire).French (Massé) : habitational name from a place called Massé in Maine-et-Loire, so named from Gallo-Roman Macciacum (from the personal name Maccius + the locative suffix -acum).Dutch : from Middle Dutch masse ‘clog’; ‘cudgel’, perhaps a metonymic occupational name for someone who wielded a club.Dutch : possibly a variant of Maas 1, or a patronymic from Mas.
Male
Italian
Short form of Italian Tommaso, MASO means "twin."
PROBABILITY MASS-FUNCTION
PROBABILITY MASS-FUNCTION
Surname or Lastname
English and German
English and German : topographic name from Old English land, Middle High German lant, ‘land’, ‘territory’. This had more specialized senses in the Middle Ages, being used to denote the countryside as opposed to a town or an estate.English : topographic name for someone who lived in a forest glade, Middle English, Old French la(u)nde, or a habitational name from Launde in Leicestershire or Laund in West Yorkshire, which are named with this word.Norwegian : habitational name from any of three farmsteads so named, from Old Norse land ‘land’, ‘territory’ (see 1 above).
Girl/Female
Indian
Happy, Full of Joy
Boy/Male
Irish
Old hero.
Girl/Female
Arthurian Legend
Land of Astolet.
Male
Italian
Italian form of Latin Eustachius, ESTACHIO means "fruitful."
Male
Irish
Irish Gaelic name TUATHAL means "ruler of the people."
Boy/Male
Native American
Friend.
Girl/Female
American, Australian, Danish
Lily
Boy/Male
Scottish
From the high peak.
Boy/Male
Hindu, Indian, Malayalam, Marathi, Tamil
Lord Vishnu
PROBABILITY MASS-FUNCTION
PROBABILITY MASS-FUNCTION
PROBABILITY MASS-FUNCTION
PROBABILITY MASS-FUNCTION
PROBABILITY MASS-FUNCTION
v. t.
To collect into a mass or heap; to gather a great quantity of; to accumulate; as, to amass a treasure or a fortune; to amass words or phrases.
superl.
Compacted into, or consisting of, a mass; having bulk and weight ot substance; ponderous; bulky and heavy; weight; heavy; as, a massy shield; a massy rock.
v. t.
To furnish with a mast or masts; to put the masts of in position; as, to mast a ship.
n.
Species of Serranus, the sea bass and rock bass. See Sea bass.
n.
A mass; a heap.
n.
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.
pl.
of Probability
n.
One who maintains that certainty is impossible, and that probability alone is to govern our faith and actions.
n.
The doctrine of the probabilists.
n.
A state of confusion or disorder; -- prob. variant of mess, but influenced by muss, a scramble.
n.
Likelihood; probability.
v. i.
To celebrate Mass.
superl.
Having probability; affording probability; probable; likely.
n.
Mass; church service.
n.
Probability; verisimilitude.
pl.
of Bass
n.
A medicinal substance made into a cohesive, homogeneous lump, of consistency suitable for making pills; as, blue mass.
n.
Probability.
n.
Probability; likelihood.