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Discrete probability distribution
statistics, a categorical distribution (also called a generalized Bernoulli distribution, multinoulli distribution) is a discrete probability distribution that
Categorical_distribution
Variable capable of taking on a limited number of possible values
a categorical variable is referred to as a level. The probability distribution associated with a random categorical variable is called a categorical distribution
Categorical_variable
Distributions in probability theory
multinomial distribution. It reduces to the categorical distribution as a special case when n = 1. It also approximates the multinomial distribution arbitrarily
Dirichlet-multinomial distribution
Dirichlet-multinomial_distribution
Statement regarding whether or not an item belongs to a category
In logic, a categorical proposition, or categorical statement, is a proposition that asserts or denies that all or some of the members of one category
Categorical_proposition
Generalization of the binomial distribution
2 and n is 1, it is the categorical distribution. The term "multinoulli" is sometimes used for the categorical distribution to emphasize this four-way
Multinomial_distribution
Probability distribution
prior of the categorical distribution and multinomial distribution. The infinite-dimensional generalization of the Dirichlet distribution is the Dirichlet
Dirichlet_distribution
Topics referred to by the same term
model theory Categorical data analysis Categorical distribution, a probability distribution Categorical logic, a branch of category theory within mathematics
Categorical
Statistical concept
K-dimensional random vector drawn from a Dirichlet distribution (the conjugate prior of the categorical distribution), and the parameters will be distributed according
Mixture_model
Mathematical function for the probability a given outcome occurs in an experiment
replacement) Categorical distribution, for a single categorical outcome (e.g. yes/no/maybe in a survey); a generalization of the Bernoulli distribution Multinomial
Probability_distribution
Statistical Markov model
categorical distribution of the transition probabilities, is the Dirichlet distribution, which is the conjugate prior distribution of the categorical
Hidden_Markov_model
Particular case of the generalized extreme value distribution
plotting the distribution was made easier. In machine learning, the Gumbel distribution is sometimes employed to generate samples from the categorical distribution
Gumbel_distribution
t-distribution The Matrix Langevin distribution The matrix variate beta distribution The Uniform distribution on a Stiefel manifold The categorical distribution
List of probability distributions
List_of_probability_distributions
Probability distribution with more than one mode
and 2. Categorical, continuous, and discrete data can all form multimodal distributions. Among univariate analyses, multimodal distributions are commonly
Multimodal_distribution
Probability distribution modeling a coin toss which need not be fair
{\textstyle \mathrm {Bernoulli} (p).} The categorical distribution is the generalization of the Bernoulli distribution for variables with any constant number
Bernoulli_distribution
Probability distribution
variable which achieves the minimum is distributed according to the categorical distribution Pr ( X k = min { X 1 , … , X n } ) = λ k λ 1 + ⋯ + λ n . {\displaystyle
Exponential_distribution
Quantity in information theory
{\displaystyle p} . Without loss of generality, we can assume the categorical distribution is supported on the set [ N ] = { 1 , 2 , … , N } {\textstyle [N]=\left\{1
Information_content
Probability distribution
… , p , {\displaystyle w_{i}\geq 0,i=1,\ldots ,p,} (defining a categorical distribution) it holds that ∑ j = 1 p w j X j Y j ∼ C a u c h y ( 0 , 1 ) .
Cauchy_distribution
analysis of categorical data, also known as data on the nominal scale and as categorical variables. Bowker's test of symmetry Categorical distribution, general
List of analyses of categorical data
List_of_analyses_of_categorical_data
Probability distribution
generalization of the continuous Bernoulli is called the continuous-categorical. Loaiza-Ganem, G., & Cunningham, J. P. (2019). The continuous Bernoulli:
Continuous Bernoulli distribution
Continuous_Bernoulli_distribution
Discrete-time stochastic process
label is drawn from the categorical p {\displaystyle \mathbf {p} } . Since the Dirichlet distribution is conjugate to the categorical, the hidden variable
Chinese_restaurant_process
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
Discrete-variable probability distribution
only a single trial (draw) this is a categorical distribution. An example of a multivariate discrete distribution, and of its probability mass function
Probability_mass_function
Central concept in Kantian moral philosophy
The categorical imperative (German: Kategorischer Imperativ) is the central philosophical concept in the deontological moral philosophy of Immanuel Kant
Categorical_imperative
Distinction between nominal, ordinal, interval and ratio variables
(1990) described continuous counts, continuous ratios, count ratios, and categorical modes of data. See also Chrisman (1998), van den Berg (1991). Mosteller
Level_of_measurement
Class of statistical models
K possible values. For the multinomial distribution, and for the vector form of the categorical distribution, the expected values of the elements of
Generalized_linear_model
posterior distribution with prior 1 / 2 {\displaystyle 1/2} . For the general case the estimate is made using a Dirichlet-Categorical distribution. Rule of
Krichevsky–Trofimov_estimator
Numerical parameter in probability theory
categorical distribution. The prior distribution for the parameters of the categorical distribution would likely be a symmetric Dirichlet distribution. However
Concentration_parameter
Continuous probability distribution
theory and statistics, the logistic distribution is a continuous probability distribution. Its cumulative distribution function is the logistic function
Logistic_distribution
Statistical modeling method
Bernoulli distribution/binomial distribution for binary choices, or a categorical distribution/multinomial distribution for multi-way choices), where there
Linear_regression
Family of stochastic processes
of the Dirichlet distribution. In the same way as the Dirichlet distribution is the conjugate prior for the categorical distribution, the Dirichlet process
Dirichlet_process
Deep neural network for generating raw audio
sample at a time. It does so by sampling from a softmax (i.e. categorical) distribution of a signal value that is encoded using μ-law companding transformation
WaveNet
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
Generative topic model
that multinomial distribution here refers to the multinomial with only one trial, which is also known as the categorical distribution.) The lengths N i
Latent_Dirichlet_allocation
Statistical technique for smoothing categorical data
recommender systems. Bayesian average Prediction by partial matching Categorical distribution C. D. Manning, P. Raghavan and H. Schütze (2008). Introduction
Additive_smoothing
Smooth approximation of one-hot arg max
sample categorical distributions Partition function Exponential tilting – a generalization of Softmax to more general probability distributions Positive
Softmax_function
Evaluates how likely it is that any difference between data sets arose by chance
is sampled IID from a categorical distribution C a t e g o r i c a l ( p 1 , . . . , p n ) {\displaystyle \mathrm {Categorical} (p_{1},...,p_{n})} over
Pearson's_chi-squared_test
Continuous probability distribution
probability theory and statistics, the Weibull distribution /ˈwaɪbʊl/ is a continuous probability distribution. It models a broad range of random variables
Weibull_distribution
Type of logical argument that applies deductive reasoning
determining the distribution of each term in each statement, meaning whether all members of that term are accounted for. In categorical syllogisms, formal
Syllogism
Measure of local oscillation behavior
probabilities that the two probability distributions can assign to the same event. For a categorical distribution it is possible to write the total variation
Total_variation
Neural network that learns efficient data encoding in an unsupervised manner
The concrete autoencoder uses a continuous relaxation of the categorical distribution to allow gradients to pass through the feature selector layer,
Autoencoder
Branch of statistics
the distribution would be a categorical distribution; experiments whose sample space is encoded by discrete random variables, where the distribution can
Mathematical_statistics
Probability distribution
statistics, Student's t distribution (or simply the t distribution) t ν {\displaystyle t_{\nu }} is a continuous probability distribution that generalizes the
Student's_t-distribution
Numerical method
= 1 k ϕ j = 1 {\displaystyle \sum _{j=1}^{k}\phi _{j}=1} . See Categorical distribution. The following procedure can be used to estimate ϕ , μ , Σ {\displaystyle
EM_algorithm_and_GMM_model
Fourth standardized moment in statistics
'curved, arching') refers to the degree of tailedness in the probability distribution of a real-valued, random variable in probability theory and statistics
Kurtosis
Statistical hypothesis test
In simpler terms, this test is primarily used to examine whether two categorical variables (two dimensions of the contingency table) are independent in
Chi-squared_test
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
Systematic classification of 12 related enumerative problems concerning two finite sets
distribution of N separate random variables, each with an X-fold categorical distribution. Sampling with replacement where ordering does not matter, however
Twelvefold_way
Yi, for i = 1...n, of the outcomes of multi-way choices from a categorical distribution of size m (there are m possible choices). Along with each observation
Multinomial_probit
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
Distribution of a country's total GDP amongst its population
In economics, income distribution covers how a country's total GDP is distributed amongst its population. Economic theory and economic policy have long
Income_distribution
Statistical test comparing two probability distributions
empirical distribution function of the sample and the cumulative distribution function of the reference distribution, or between the empirical distribution functions
Kolmogorov–Smirnov_test
Statistical model used in machine learning
{\displaystyle n} -way categorical distributions live; and where flows can be used to generalize e.g. Dirichlet, or uniform simplex distributions. As a first example
Flow-based_generative_model
Family of probability distributions related to the normal distribution
chi-squared beta Dirichlet Bernoulli categorical Poisson Wishart inverse Wishart geometric A number of common distributions are exponential families, but only
Exponential_family
Ensenada – a census of part of Spain Categorical data Categorical distribution Categorical variable Cauchy distribution Cauchy–Schwarz inequality Causal Markov
List_of_statistics_articles
Statistical dispersion in nominal distributions
it. ANOSIM Categorical data Diversity index Fowlkes–Mallows index Goodman and Kruskal's gamma Information entropy Logarithmic distribution PERMANOVA Robinson–Foulds
Qualitative_variation
Numerical measure of a statistical relationship between variables
variables followed a bivariate normal distribution. When both variables are dichotomous instead of ordered-categorical, the polychoric correlation coefficient
Correlation_coefficient
Number of occurrences in an experiment or study
distribution. In the case when n i = 0 {\displaystyle n_{i}=0} for certain i {\displaystyle i} , pseudocounts can be added. A frequency distribution shows
Frequency_(statistics)
Probability theory and statistics concept
are categorical variables, a conditional probability table is typically used to represent the conditional probability. The conditional distribution contrasts
Conditional probability distribution
Conditional_probability_distribution
Measure of the asymmetry of random variables
theory and statistics is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. Similarly to kurtosis
Skewness
Concept in network science
tweak allocates vertices to communities randomly, according to a categorical distribution, rather than in a fixed partition. More significant variants include
Stochastic_block_model
Type of data measuring one attribute
of data, the shape of the distribution of data and which measure of central tendency is being used. If the data is categorical, then there is no measure
Univariate_(statistics)
Taxonomy of statistical data elements
data can have any of various types. Statistical data types include categorical (e.g. country), directional (angles or directions, e.g. wind measurements)
Statistical_data_type
Monte Carlo algorithm
is a Dirichlet-multinomial distribution. The conditional distribution of a given categorical variable in this distribution, conditioned on the others
Gibbs_sampling
Study of collection and analysis of data
science, in that dichotomous categorical variables may be represented with the Boolean data type, polytomous categorical variables with arbitrarily assigned
Statistics
Statistical model for count data
tables. Poisson regression assumes the response variable Y has a Poisson distribution, and assumes the logarithm of its expected value can be modeled by a
Poisson_regression
Types of numerical variables in mathematics
statistical data types which are described with different probability distributions. A continuous variable is a variable such that there are possible values
Continuous or discrete variable
Continuous_or_discrete_variable
Type of chart
A bar chart or bar graph is a chart or graph that presents categorical data with rectangular bars with heights or lengths proportional to the values that
Bar_chart
Statistical measure of how far values spread from their average
root of the variance. Technically, it is the second central moment of a distribution, and the covariance of the random variable with itself, and it is often
Variance
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
Measure of the shape of a function
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
Moment_(mathematics)
Conditional probability used in Bayesian statistics
updating. In the context of Bayesian statistics, the posterior probability distribution usually describes the epistemic uncertainty about statistical parameters
Posterior_probability
Table that displays the frequency of variables
visually. The relation between ordinal variables, or between ordinal and categorical variables, may also be represented in contingency tables, although such
Contingency_table
Concept in statistics
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
normal distribution (GND) or generalized Gaussian distribution (GGD) is either of two parametric families of continuous probability distributions on the
Generalized normal distribution
Generalized_normal_distribution
Probability distribution
statistics, the skew normal distribution is a continuous probability distribution that generalises the normal distribution to allow for non-zero skewness
Skew_normal_distribution
Family of continuous probability distributions
statistics, the skewed generalized "t" distribution is a family of continuous probability distributions. The distribution was first introduced by Panayiotis
Skewed generalized t distribution
Skewed_generalized_t_distribution
Statistical model for a binary dependent variable
regression since about 1970. Binary variables can be generalized to categorical variables when there are more than two possible values (e.g. whether
Logistic_regression
nominal. Nominal scale is also known as categorical. Interval scale is also known as numerical. When categorical data has only two possibilities, it is
List_of_statistical_tests
Number taken as representative of a list of numbers
most common value found in the group. It can be used when the data is categorical rather than numeric, when the frequency of each value is relevant (such
Average
Metric for fit of statistical models
Reduced chi-square The following are examples that arise in the context of categorical data. Pearson's chi-square test uses a measure of goodness of fit which
Goodness_of_fit
Statistical method
sizes are small. It is specifically designed for testing whether two categorical variables are related or independent of each other. The correction modifies
Yates's correction for continuity
Yates's_correction_for_continuity
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
Fundamental theorem in probability theory and statistics
appropriate conditions, the distribution of a normalized version of the sample mean converges to a standard normal distribution. This holds even if the original
Central_limit_theorem
Variable representing a random phenomenon
elements of other sets E {\displaystyle E} , such as random Boolean values, categorical values, complex numbers, vectors, matrices, sequences, trees, sets, shapes
Random_variable
Test used in the analysis of stratified or matched categorical data
test (CMH) is a test used in the analysis of stratified or matched categorical data. It allows an investigator to test the association between a binary
Cochran–Mantel–Haenszel statistics
Cochran–Mantel–Haenszel_statistics
Distribution function associated with the empirical measure of a sample
statistics, an empirical distribution function (a.k.a. an empirical cumulative distribution function, eCDF) is the distribution function associated with
Empirical distribution function
Empirical_distribution_function
Non-consensual distribution of sexually explicit material
Revenge porn is the distribution of sexually explicit images or videos of individuals without their consent, with the punitive intention to create public
Revenge_porn
Quantum mechanics posed in terms of category theory
Categorical quantum mechanics is the study of quantum foundations and quantum information using paradigms from mathematics and computer science, notably
Categorical_quantum_mechanics
Type of statistical analysis
identical effects Cohen's kappa: measures inter-rater agreement for categorical items Friedman two-way analysis of variance (Repeated Measures) by ranks:
Nonparametric_statistics
Empirical law on the variance of species in a habitat
also been applied to assess the time dependent changes of population distributions. Related variance to mean power laws have also been demonstrated in
Taylor's_law
Spectral density of light emitted by a black body
Planck's and Einstein's formulas, Bohr's formula referred explicitly and categorically to energy levels of atoms. Bohr's formula was Wτ2 − Wτ1 = hν where Wτ2
Planck's_law
numerical and categorical variables along parallel axes. Each variable occupies a vertical axis whose sections represent the distribution of values. Adjacent
Hammock_plot
Data whose unit can take on only two possible states
follow a binomial distribution, but when binary variables are not i.i.d., the distribution need not be binomial. Like categorical data, binary data can
Binary_data
Mathematical framework for natural language processing
DisCoCat (Categorical Compositional Distributional) is a mathematical framework for natural language processing which uses category theory to unify distributional
DisCoCat
Probability distribution
noncentral t-distribution generalizes Student's t-distribution using a noncentrality parameter. Whereas the central probability distribution describes how
Noncentral_t-distribution
Measure of inter-rater agreement
at the Wayback Machine, R package: Visualizing Categorical Data Friendly, M. "Working with categorical data with R and the vcd and vcdExtra packages"
Bangdiwala's_B
Method used in statistics, pattern recognition, and other fields
linear combination of other features or measurements. However, ANOVA uses categorical independent variables and a continuous dependent variable, whereas discriminant
Linear_discriminant_analysis
Family of distributions that generalize the multivariate normal distribution
elliptical distribution is any member of a broad family of probability distributions that generalize the multivariate normal distribution. In the simplified
Elliptical_distribution
Concept in statistics
category is a categorical variable. Categorical variables have two types of scales, ordinal and nominal. The first type of categorical scale is dependent
Nominal_category
US and Israeli-backed organization
he witnessed as "war crimes". The GHF called Aguilar's allegations "categorically false" and described him as a "disgruntled employee who was terminated
Gaza_Humanitarian_Foundation
CATEGORICAL DISTRIBUTION
CATEGORICAL DISTRIBUTION
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.
Boy/Male
Arabic, Muslim, Sindhi
Endowed with Speech; Eloquent; Spokesperson; Talker; Speaker; Rational; Categorical (Decision)
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 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 (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 (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 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 (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 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 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 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 (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.
Boy/Male
Muslim/Islamic
Categorical (decision) talker, speaker, rational
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
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 : 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 (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 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 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 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.
CATEGORICAL DISTRIBUTION
CATEGORICAL DISTRIBUTION
Boy/Male
Australian, German, Latin, Polish
Warlike
Girl/Female
Christian, Hindu, Indian
Garden
Boy/Male
Hindu
Happy long life
Girl/Female
English
Boy/Male
Arabic, Muslim
Chief; Judge; Leader; Chief Seat
Girl/Female
Indian
Praiseworthy, Praiser of Allah
Boy/Male
Indian, Punjabi, Sikh
Praises of Naam
Boy/Male
Hindu, Indian
Lord Vishnu
Boy/Male
Tamil
Hemachandra | ஹேமசஂதà¯à®°à®¾
Golden Moon
Girl/Female
Hindu
CATEGORICAL DISTRIBUTION
CATEGORICAL DISTRIBUTION
CATEGORICAL DISTRIBUTION
CATEGORICAL DISTRIBUTION
CATEGORICAL DISTRIBUTION
n.
A chart or graphic representation of the average distribution of rain over the surface of the earth.
n.
The minor term, that is, the subject of the conclusion; also, the minor premise, that is, that premise which contains the minor term; in hypothetical syllogisms, the categorical premise. It is the second proposition of a regular syllogism, as in the following: Every act of injustice partakes of meanness; to take money from another by gaming is an act of injustice; therefore, the taking of money from another by gaming partakes of meanness.
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.
a.
Not hypothetical or relative; admitting no conditions or exceptions; declarative; absolute; positive; express; as, a categorical proposition, or answer.
adv.
Absolutely; directly; expressly; positively; as, to affirm categorically.
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.
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 study or description of the geographical distribution of animals.
n.
The branch of physical science which treats of the geographical distribution of rain.
a.
Of or pertaining to distribution.
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.
n.
The quality of being categorical, positive, or absolute.
n.
The minor or second proposition in a categorical syllogism.
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.
The science of water, its properties, phenomena, and distribution over the earth's surface.
a.
Expressing the same thing with different words; -- opposed to allegorical.
a.
Of or pertaining to rain; descriptive of the distribution of rain, or of rainy regions.
n.
An interior officer under the boatswain, gunner, or carpenters, charged with the stowage, account, and distribution of the stores.
a.
Of or pertaining to a category.
v. t.
To conjoin; to put together in distribution; to class.