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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
Distributions in probability theory
and statistics, the Dirichlet-multinomial distribution is a family of discrete multivariate probability distributions on a finite support of non-negative
Dirichlet-multinomial distribution
Dirichlet-multinomial_distribution
Discrete probability distribution
of a die. On the other hand, the categorical distribution is a special case of the multinomial distribution, in that it gives the probabilities of potential
Categorical_distribution
Probability distribution
theory and statistics, the negative multinomial distribution is a generalization of the negative binomial distribution (NB(x0, p)) to more than two outcomes
Negative multinomial distribution
Negative_multinomial_distribution
Discrete probability distribution
Dirichlet-multinomial distribution as the binomial and beta distributions are univariate versions of the multinomial and Dirichlet distributions respectively
Beta-binomial_distribution
Generalization of the binomial theorem to other polynomials
In mathematics, the multinomial theorem describes how to expand a power of a sum in terms of powers of the terms in that sum. It is the generalization
Multinomial_theorem
Probability multivariate distribution
theory and statistics, the Dirichlet negative multinomial distribution is a multivariate distribution on the non-negative integers. It is a multivariate
Dirichlet negative multinomial distribution
Dirichlet_negative_multinomial_distribution
Probability distribution
of the categorical distribution and multinomial distribution. The infinite-dimensional generalization of the Dirichlet distribution is the Dirichlet process
Dirichlet_distribution
Discrete probability distribution
relationship to the multinomial distribution that the hypergeometric distribution has to the binomial distribution—the multinomial distribution is the "with-replacement"
Hypergeometric_distribution
Probability distribution and special case of gamma distribution
showed that the chi-squared distribution arose from such a multivariate normal approximation to the multinomial distribution, taking careful account of
Chi-squared_distribution
t-distribution. The negative multinomial distribution, a generalization of the negative binomial distribution. The Dirichlet negative multinomial distribution
List of probability distributions
List_of_probability_distributions
Mathematical function for the probability a given outcome occurs in an experiment
generalization of the binomial distribution Multivariate hypergeometric distribution, similar to the multinomial distribution, but using sampling without
Probability_distribution
Probability distribution of energy states of a system
political, and economic contexts. The Boltzmann distribution has the same form as the multinomial logit model. As a discrete choice model, this is very
Boltzmann_distribution
Discrete probability distribution
discrete compound Poisson distribution can be deduced from the limiting distribution of univariate multinomial distribution. It is also a special case
Poisson_distribution
Type of probability distribution
multinomial distribution, the negative multinomial distribution, the multivariate hypergeometric distribution, and the elliptical distribution. Bayesian
Joint probability distribution
Joint_probability_distribution
Class of statistical models
of the K possible values. For the multinomial distribution, and for the vector form of the categorical distribution, the expected values of the elements
Generalized_linear_model
Distribution of new data marginalized over the posterior
beta-binomial distribution and Dirichlet-multinomial distribution are all predictive distributions of exponential-family distributions (the normal distribution, binomial
Posterior predictive distribution
Posterior_predictive_distribution
Topics referred to by the same term
Multinomial may refer to: Multinomial theorem, and the multinomial coefficient Multinomial distribution Multinomial logistic regression Multinomial test
Multinomial
Monte Carlo algorithm
and the joint distribution of these variables after collapsing is a Dirichlet-multinomial distribution. The conditional distribution of a given categorical
Gibbs_sampling
Probability distribution
binomial distribution Extended negative binomial distribution Negative multinomial distribution Binomial distribution Poisson distribution Compound Poisson
Negative binomial distribution
Negative_binomial_distribution
Discrete-variable probability distribution
(also known as the generalized Bernoulli distribution) and the multinomial distribution. If the discrete distribution has two or more categories one of which
Probability_mass_function
Probability distribution
Bernoulli distributions in exactly the same way as the Dirichlet distribution is conjugate to the multinomial distribution and categorical distribution. The
Beta_distribution
Concept in statistics
from the beta distribution. Compounding a multinomial distribution with probability vector distributed according to a Dirichlet distribution yields a Dirichlet-multinomial
Compound probability distribution
Compound_probability_distribution
Probability distribution
Mathematics portal Logistic regression Multinomial distribution Negative binomial distribution Beta-binomial distribution Binomial measure, an example of a
Binomial_distribution
Generative topic model
w_{i,j}\sim \operatorname {Multinomial} (\varphi _{z_{i,j}}).} (Note that multinomial distribution here refers to the multinomial with only one trial, which
Latent_Dirichlet_allocation
Probability distribution
of the sum of independent Bernoulli random variables and of the multinomial distribution". In Gani, J.; Rohatgi, V.K. (eds.). Contributions to probability:
Poisson_binomial_distribution
Number of subsets of a given size
{n}{k_{1}}}={\binom {n}{k_{2}}}.} The combinatorial interpretation of multinomial coefficients is distribution of n distinguishable elements over r (distinguishable)
Binomial_coefficient
Probability distribution
distributed. It is also known as the logistic normal distribution, which often refers to a multinomial logit version (e.g.). A variable might be modeled
Logit-normal_distribution
Mathematical methods used in Bayesian inference and machine learning
\alpha _{0}} . The Dirichlet distribution is the conjugate prior of the categorical distribution or multinomial distribution. W ( ) {\displaystyle {\mathcal
Variational_Bayesian_methods
Evaluates how likely it is that any difference between data sets arose by chance
numbers are sampled from a multinomial distribution M u l t i n o m i a l ( N ; p 1 , . . . , p n ) {\displaystyle \mathrm {Multinomial} (N;p_{1},...,p_{n})}
Pearson's_chi-squared_test
Particular case of the generalized extreme value distribution
formulation of the multinomial logit model — common in discrete choice theory — the errors of the latent variables follow a Gumbel distribution. This is useful
Gumbel_distribution
In survey methodology
is to just draw one item at a time (like getting n draws from a multinomial distribution with N elements, each with their own p i {\displaystyle p_{i}}
Probability-proportional-to-size sampling
Probability-proportional-to-size_sampling
Statistical technique for smoothing categorical data
\ldots ,x_{d}\rangle } from a d {\displaystyle d} -dimensional multinomial distribution with N {\displaystyle N} trials, a "smoothed" version of the counts
Additive_smoothing
Statistical model relating manifest and latent variables
in latent profile analysis and latent class analysis as from a multinomial distribution. The manifest variables in factor analysis and latent profile analysis
Latent_variable_model
Observation that in many real-life datasets, the leading digit is likely to be small
(3). Ostrovski, Vladimir (May 2017). "Testing equivalence of multinomial distributions". Statistics & Probability Letters. 124: 77–82. doi:10.1016/j
Benford's_law
Statistical modeling method
described using a Bernoulli distribution/binomial distribution for binary choices, or a categorical distribution/multinomial distribution for multi-way choices)
Linear_regression
Balanced or random resource allocation
number the load on the bin. The problem can be modelled using a Multinomial distribution, and may involve asking a question such as: What is the expected
Balls_into_bins_problem
Principle in genetics
probability of each diploid–diploid combination, which follows a multinomial distribution with k = 3. For example, the probability of the mating combination
Hardy–Weinberg_principle
Graphical aid for deriving some concepts in combinatorics
coefficient Partition (number theory) Twelvefold way Dirichlet-multinomial distribution Batterson, J. Competition Math for Middle School. Art of Problem
Stars and bars (combinatorics)
Stars_and_bars_(combinatorics)
Kth smallest value in a statistical sample
) {\displaystyle (u+du,1)} respectively. This equals (refer to multinomial distribution for details) n ! ( k − 1 ) ! ( n − k ) ! u k − 1 ⋅ d u ⋅ ( 1 −
Order_statistic
Time-series clustering method
mixture of unobserved topics. Furthermore, each topic defines a multinomial distribution over a set of terms. Thus, for each word of each document, a topic
Dynamic_topic_model
Random measure in probability theory
form a multinomial distribution with event probabilities P ( A i ) {\displaystyle P(A_{i})} The covariance matrix of this multinomial distribution is C
Empirical_measure
Statistical concept
) given a fixed number of total occurrences Multinomial distribution, similar to the binomial distribution, but for counts of multi-way occurrences (e
Mixture_model
Regression for more than two discrete outcomes
In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more
Multinomial logistic regression
Multinomial_logistic_regression
Quantity in information theory
{\textstyle \sum _{k=1}^{6}{C_{k}}=2} and the counts have the multinomial distribution f ( c 1 , … , c 6 ) = Pr ( C 1 = c 1 and … and C 6 = c 6 )
Information_content
Mental exercise in probability and statistics
velocity distributions. The Ellsberg paradox. Balls into bins Coin-tossing problems Coupon collector's problem Dirichlet-multinomial distribution Noncentral
Urn_problem
Family of probability distributions related to the normal distribution
Dirichlet-multinomial distributions. Other examples of distributions that are not exponential families are the F-distribution, Cauchy distribution, hypergeometric
Exponential_family
Generalization of the one-dimensional normal distribution to higher dimensions
statistics, the multivariate normal distribution, multivariate Gaussian distribution, or joint normal distribution is a generalization of the one-dimensional
Multivariate normal distribution
Multivariate_normal_distribution
Multinomial test is the statistical test of the null hypothesis that the parameters of a multinomial distribution equal specified values; it is used for
Multinomial_test
_{k+1}>q_{1}+\ldots +q_{k}} . The inverted Dirichlet distribution is conjugate to the negative multinomial distribution if a generalized form of odds ratio is used
Inverted Dirichlet distribution
Inverted_Dirichlet_distribution
Statistical method
bootstrap samples items from a list of size n with counts drawn from a multinomial distribution. If W i {\displaystyle W_{i}} denotes the number times element
Bootstrapping_(statistics)
distribution (probability theory) Dirichlet-multinomial distribution Dirichlet negative multinomial distribution Generalized Dirichlet distribution (probability
List of things named after Peter Gustav Lejeune Dirichlet
List_of_things_named_after_Peter_Gustav_Lejeune_Dirichlet
Indian statistician (1915–1996)
statistics, particularly for his measure of similarity between two multinomial distributions, known as the Bhattacharyya coefficient, based on which he defined
Anil_Kumar_Bhattacharyya
Branch of discrete mathematics
binomial coefficient Multinomial generalizations Multinomial coefficient · Multinomial formula/theorem · Multinomial distribution · Pascal's pyramid ·
Combinatorics
Type of feedforward neural network
activation within each pooling region is picked randomly according to a multinomial distribution, given by the activities within the pooling region. This approach
Convolutional_neural_network
Family of probability distributions
{\displaystyle \ F(\ x;\ -\ln \sigma ,\ {\tfrac {\ 1\ }{\alpha }},\ 0\ )~.} Multinomial logit models, and certain other types of logistic regression, can be
Generalized extreme value distribution
Generalized_extreme_value_distribution
Compound probability distribution
\beta } red balls are observed. Negative binomial distribution Dirichlet negative multinomial distribution Johnson et al. (1993) Johnson, N.L.; Kotz, S.;
Beta negative binomial distribution
Beta_negative_binomial_distribution
Measure of similarity and diversity between sets
increases. Estimation methods are available either by approximating a multinomial distribution or by bootstrapping. When used for binary attributes, the Jaccard
Jaccard_index
Principle in Bayesian statistics
probable result. The probability of any particular result is the multinomial distribution, P r ( p ) = W ⋅ m − N {\displaystyle Pr(\mathbf {p} )=W\cdot m^{-N}}
Principle_of_maximum_entropy
Probabilistic classification algorithm
encountered in document classification (include spam filtering), multinomial and Bernoulli distributions are popular. These assumptions lead to two distinct models
Naive_Bayes_classifier
Test of statistical significance
categories, and an exact test is required, the multinomial test, based on the multinomial distribution, must be used instead of the binomial test. Most
Binomial_test
Statement in probability theory
\dots ,F_{N}(t_{n})} is a multinomial distribution. Now, the central limit approximation for multinomial distributions shows that lim N N ( F N ( t i ) −
Donsker's_theorem
representation of an integer Mahler's theorem Multinomial distribution Multinomial coefficient, Multinomial formula, Multinomial theorem Multiplicities of entries
List of factorial and binomial topics
List_of_factorial_and_binomial_topics
Statistical model for a binary dependent variable
dog, lion, etc.), and the binary logistic regression generalized to multinomial logistic regression. If the multiple categories are ordered, one can
Logistic_regression
Scientific study of digital information
log-likelihood ratio test in the context of contingency tables and the multinomial distribution and to Pearson's χ2 test: mutual information can be considered
Information_theory
Empirical law on the variance of species in a habitat
They noted that the use of the multinomial distribution may be more appropriate than the use of a Poisson distribution for such data. The statistic θ
Taylor's_law
Statistical measure used in survey research
stratification, the number of elements at each stratum can be modeled as a multinomial distribution with different p h {\displaystyle p_{h}} inclusion probabilities
Design_effect
Random model in mathematics
binomial distribution: The distribution of number of white balls observed until a fixed number black balls are observed. Dirichlet-multinomial distribution (also
Pólya_urn_model
Generating pseudo-random numbers that follow a probability distribution
generation Laplace distribution#Random variate generation Multinomial distribution#Random variate distribution Pareto distribution#Random variate generation
Non-uniform random variate generation
Non-uniform_random_variate_generation
Taiwanese environmental statistician
Quadrature Method in Inference Problems Arising From the Generalized Multinomial Distribution. After working for a year as a visiting assistant professor at
Anne_Chao
Variable capable of taking on a limited number of possible values
multiple-category categorical variables are often analyzed using a multinomial distribution, which counts the frequency of each possible combination of numbers
Categorical_variable
Formula in probability theory
Dirichlet distribution is the conjugate prior for the multinomial distribution, which means that the posterior distribution is also a Dirichlet distribution with
Rule_of_succession
Systematic classification of 12 related enumerative problems concerning two finite sets
categorical distribution. Sampling with replacement where ordering does not matter, however, is comparable to describing a single multinomial distribution of N
Twelvefold_way
analysis Multinomial distribution Multinomial logistic regression Multinomial logit – see Multinomial logistic regression Multinomial probit Multinomial test
List_of_statistics_articles
1713 book on probability and combinatorics by Jacob Bernoulli
theology was impacted. Multinomial distribution Bernoulli trial Law of large numbers Bernoulli numbers Binomial distribution Dunham 1990, p. 191 Abrams
Ars_Conjectandi
Smooth approximation of one-hot arg max
probability distribution over K possible outcomes. It is a generalization of the logistic function to multiple dimensions, and is used in multinomial logistic
Softmax_function
Data whose unit can take on only two possible states
a multinomial regression. Counts of non-i.i.d. binary data can be modeled by more complicated distributions, such as the beta-binomial distribution (a
Binary_data
Quality measure of a statistical method
normal distribution (but not the variance σ2), parameter λ of the Poisson distribution, the probability p in the binomial or multinomial distribution. Consider
Efficiency_(statistics)
In statistics and econometrics, the multinomial probit model is a generalization of the probit model used when there are several possible categories that
Multinomial_probit
log-likelihood ratio test in the context of contingency tables and the multinomial distribution and to Pearson's χ2 test: mutual information can be considered
Quantities_of_information
Statistical dispersion in nominal distributions
variance of a multinomial distribution (Swanson 1976) (there called an "expanded binomial model"). M1 is the variance of the multinomial distribution and M2
Qualitative_variation
Arrangement of trinomial coefficients
and the binomial distribution. The binomial and trinomial coefficients, expansions, and distributions are subsets of the multinomial constructs with the
Pascal's_pyramid
Concept in ecology
abundances in the UNTB model follow a zero-sum multinomial distribution. The shape of this distribution is a function of the immigration rate, the size
Relative_species_abundance
Statistical test
chi-squared distribution, with the same number of degrees of freedom as in the corresponding chi-squared test. For very small samples the multinomial test for
G-test
Exact test
of a 2 × 2 table under the first study design is given by the multinomial distribution; where the total number of samples taken is the only statistical
Barnard's_test
Commonly used representation of patterns in biological sequences
is 1. Each column can therefore be regarded as an independent multinomial distribution. This makes it easy to calculate the probability of a sequence
Position_weight_matrix
Concept in probability theory
posterior distribution p ( θ ∣ x ) {\displaystyle p(\theta \mid x)} is in the same probability distribution family as the prior probability distribution p (
Conjugate_prior
Model of changes in a sequence over evolutionary time
that substitution models can be viewed as implying a specific multinomial distribution for site pattern frequencies. If we consider a multiple sequence
Substitution_model
Statistical test of variance
explanatory (independent) variables, using a logistic function or multinomial distribution. Logistic regression measures the relationship between a categorical
Omnibus_test
Choice between two or more discrete alternatives
which multinomial logit and nested logit belong Conditional probit - Allows full covariance among alternatives using a joint normal distribution. Mixed
Discrete_choice
Tree-based ensemble machine learning methods
proposed and evaluated as base estimators in random forests, in particular multinomial logistic regression and naive Bayes classifiers. In cases that the relationship
Random_forest
Statistical technique developed by Alan Turing and I. J. Good
during World War II. Turing at first modelled the frequencies as a multinomial distribution, but found it inaccurate. Good developed smoothing algorithms to
Good–Turing frequency estimation
Good–Turing_frequency_estimation
Class of probability distributions
distributions can be abstracted due to the properties of the NEF described below. An example of the multivariate case is the multinomial distribution
Natural_exponential_family
Probability distribution
boxes has a non-trivial effect, unlike experiment 1. Dirichlet-multinomial distribution Lukacs's proportion-sum independence theorem R. J. Connor and J
Generalized Dirichlet distribution
Generalized_Dirichlet_distribution
Software for spatial, temporal, and space-time scan statistics
probability models, including Poisson distribution, Bernoulli distribution, Monte Carlo method, and multinomial distribution. Using these, it can look for areas
SaTScan
Theorem about independent random variables
James E. (1962). "On the compound multinomial distribution, the multivariate β {\displaystyle \beta } distribution, and correlation among proportions"
Lukacs's proportion-sum independence theorem
Lukacs's_proportion-sum_independence_theorem
Kind of matrix
is the covariance matrix of the multinomial distribution, in the special case where the parameters of that distribution are k = n {\displaystyle k=n}
Centering_matrix
Trial data, trial data is simulated as a Monte Carlo sample from a Multinomial distribution. For example, when Trial_size=100, each Monte Carlo sample of Trial_data
Expected value of sample information
Expected_value_of_sample_information
Type of probabilistic logic
and can be represented as a Beta PDF (Probability Density Function). A multinomial opinion applies to a state variable of multiple possible values, and
Subjective_logic
Method for analyzing semantic data
each co-occurrence as a mixture of conditionally independent multinomial distributions: P ( w , d ) = ∑ c P ( d ) P ( c | d ) P ( w | c ) = P ( d ) ∑
Probabilistic latent semantic analysis
Probabilistic_latent_semantic_analysis
MULTINOMIAL DISTRIBUTION
MULTINOMIAL DISTRIBUTION
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 : apparently a habitational name from places named Rushford in Devon, Norfolk, and Warwickshire. However, in view of the present-day distribution of the surname, a more likely source is Ryshworth in Bingley, West Yorkshire, which was earlier called Rushford (from Old English rysc ‘rushes’ + ford ‘ford’).
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 (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
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 places in Lancashire and Sussex. The former seems from the present-day distribution of the surname to be the major source, and is named from Old English scingel ‘shingle(s)’ + tūn ‘enclosure’, ‘settlement’; the latter gets its name from Old English sengel ‘burnt clearing’ + tūn.
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
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 (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 : 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
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
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 (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 : 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
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 (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
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 (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 (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.
MULTINOMIAL DISTRIBUTION
MULTINOMIAL DISTRIBUTION
Boy/Male
Tamil
Naughty
Boy/Male
Tamil
Ramkrishna | ராமகà¯à®°à®¿à®·à¯à®£
Lord Rama and Lord Krishna
Surname or Lastname
English (mainly East Anglia)
English (mainly East Anglia) : nickname from a diminutive of Middle English sparewe ‘sparrow’. Compare Sparrow.
Girl/Female
Bengali, Indian
Mirror
Boy/Male
Arabic, Australian, Muslim
Like a Lion; Description of a Lion
Female
Hebrew
(עִירִית) Hebrew name IRIT means "animal fodder."
Male
English
Variant spelling of English unisex Darryl, DARYL means "from Airelle."
Girl/Female
Muslim/Islamic
Comely
Girl/Female
Christian & English(British/American/Australian)
Covered in Mist
Surname or Lastname
English (Yorkshire)
English (Yorkshire) : habitational name from any of numerous places, for example in South Yorkshire and Derbyshire, named Hardwick, from Old English heorde ‘herd’, ‘flock’ + wīc ‘outlying farm’.German and French (Lorraine) : from the Germanic personal name Hardwic, composed of the elements hard ‘hardy’, ‘brave’, ‘strong’ + wīg ‘battle’, ‘combat’.
MULTINOMIAL DISTRIBUTION
MULTINOMIAL DISTRIBUTION
MULTINOMIAL DISTRIBUTION
MULTINOMIAL DISTRIBUTION
MULTINOMIAL DISTRIBUTION
n.
That part of biology which relates to the animal kingdom, including the structure, embryology, evolution, classification, habits, and distribution of all animals, both living and extinct.
n.
A theory or system of social reform which contemplates a complete reconstruction of society, with a more just and equitable distribution of property and labor. In popular usage, the term is often employed to indicate any lawless, revolutionary social scheme. See Communism, Fourierism, Saint-Simonianism, forms of socialism.
n.
A notch cut crosswise in the shank of a type, to assist a compositor in placing it properly in the stick, and in distribution.
v. t.
To conjoin; to put together in distribution; to class.
n.
An interior officer under the boatswain, gunner, or carpenters, charged with the stowage, account, and distribution of the stores.
n.
A place calculated for the rendezvous of troops, or for the distribution of them; also, a spot well adapted for offensive measures. Wilhelm (Mil. Dict.).
n.
The branch of physical science which treats of the geographical distribution of rain.
n.
A chart or graphic representation of the average distribution of rain over the surface of the earth.
n.
The act of distributing or dispensing; the act of dividing or apportioning among several or many; apportionment; as, the distribution of an estate among heirs or children.
n.
The study or description of the geographical distribution of animals.
a.
Alt. of Multinominous
n.
Disposition; distribution; management.
n. & a.
Same as Polynomial.
a.
Containing many names or terms; multinominal; as, the polynomial theorem.
a.
Of or pertaining to distribution.
n.
A scheme for the distribution of prizes by lot or chance; esp., a gaming scheme in which one or more tickets bearing particular numbers draw prizes, and the rest of tickets are blanks. Fig. : An affair of chance.
a.
Of or pertaining to rain; descriptive of the distribution of rain, or of rainy regions.
n.
The science of water, its properties, phenomena, and distribution over the earth's surface.
n.
The arrangement or distribution of nerves, as in the leaves of a plant or the wings of an insect; nervation.
n.
The law of likeness; similarity of structure; regularity in form and arrangement; orderly and similar distribution of parts, such that an animal may be divided into parts which are structurally symmetrical.