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Probability distribution
probability theory and statistics, the beta distribution is a family of continuous probability distributions defined on the interval [0, 1] or (0, 1)
Beta_distribution
Probability distribution
multivariate probability distributions parameterized by a vector α of positive reals. It is a multivariate generalization of the beta distribution, hence its alternative
Dirichlet_distribution
Discrete probability distribution
probability theory and statistics, the beta-binomial distribution is a family of discrete probability distributions on a finite support of non-negative integers
Beta-binomial_distribution
Probability distribution
= 1 / θ {\displaystyle \beta =1/\theta } In each of these forms, both parameters are positive real numbers. The distribution has important applications
Gamma_distribution
Probability distribution
to the cumulative distribution functions of the beta distribution and of the F-distribution: F ( k ; n , p ) = F beta-distribution ( x = 1 − p ; α = n
Binomial_distribution
Probability distribution
probability theory and statistics, the beta prime distribution (also known as inverted beta distribution or beta distribution of the second kind) is an absolutely
Beta_prime_distribution
Probability distribution
(\lambda ;\alpha ,\beta )={\frac {\beta ^{\alpha }}{\Gamma (\alpha )}}\lambda ^{\alpha -1}\exp(-\lambda \beta ).} The posterior distribution p can then be
Exponential_distribution
Mathematical function
respectively. Beta distribution and Beta prime distribution, two probability distributions related to the beta function Jacobi sum, the analogue of the beta function
Beta_function
Name for several different families of probability distributions
called the skew-logistic distribution. Type IV subsumes the other types and is obtained when applying the logit transform to beta random variates. Following
Generalized logistic distribution
Generalized_logistic_distribution
Probability distribution
generalized beta distribution is a continuous probability distribution with four shape parameters, including more than thirty named distributions as limiting
Generalized_beta_distribution
Compound probability distribution
In probability theory, a beta negative binomial distribution is the probability distribution of a discrete random variable X {\displaystyle X} equal
Beta negative binomial distribution
Beta_negative_binomial_distribution
Particular case of the generalized extreme value distribution
\beta )=e^{-e^{-(x-\mu )/\beta }}\,} The standard Gumbel distribution is the case where μ = 0 {\displaystyle \mu =0} and β = 1 {\displaystyle \beta =1}
Gumbel_distribution
Yes/No experiments all with the same probability of success. The beta-binomial distribution, which describes the number of successes in a series of independent
List of probability distributions
List_of_probability_distributions
Probability distribution
β ) {\displaystyle \mathrm {Beta} (\alpha ,\beta )} distribution is α α + β {\displaystyle {\frac {\alpha }{\alpha +\beta }}} , as α {\displaystyle \alpha
Geometric_distribution
Generalization of beta distribution
In statistics, the matrix variate beta distribution is a generalization of the beta distribution. It is also called the MANOVA ensemble and the Jacobi
Matrix variate beta distribution
Matrix_variate_beta_distribution
Continuous probability distribution
{d_{2}}{2}}\right)}}.} The F-distribution is a particular parametrization of the beta prime distribution, which is also called the beta distribution of the second kind
F-distribution
Concept in probability theory
{\displaystyle \beta =1} would give a uniform distribution) and B ( α , β ) {\displaystyle \mathrm {B} (\alpha ,\beta )} is the Beta function acting as
Conjugate_prior
Probability distribution
product distribution is a probability distribution constructed as the distribution of the product of random variables having two other known distributions. Given
Distribution of the product of two random variables
Distribution_of_the_product_of_two_random_variables
Family of continuous probability distributions
bounded distribution is a family of continuous probability distributions defined on the interval (0,1). It is similar to the beta distribution, but much
Kumaraswamy_distribution
Distribution of an uncertain quantity
probability distributions. For example, if one uses a beta distribution to model the distribution of the parameter p of a Bernoulli distribution, then: p
Prior_probability
Non-linear regression method
within ( 0 , 1 ) {\displaystyle (0,1)} and can be assumed to follow a beta distribution. It is generalisable to variables which takes values in the arbitrary
Beta_regression
Concept in statistics
statistics, the beta rectangular distribution is a probability distribution that is a finite mixture distribution of the beta distribution and the continuous
Beta_rectangular_distribution
Uniform distribution on an interval
distribution, then Y = Xn has a beta distribution with parameters (1/n,1). As such, The standard uniform distribution is a special case of the beta distribution
Continuous uniform distribution
Continuous_uniform_distribution
Two-parameter family of continuous probability distributions
{\displaystyle f(x;\alpha ,\beta )={\frac {f(x/\beta ;\alpha ,1)}{\beta }}} The cumulative distribution function is the regularized gamma function F (
Inverse-gamma_distribution
Probability distribution and special case of gamma distribution
chi-squared distribution Student's t-distribution can be obtained from chi-squared distribution and normal distribution The noncentral beta distribution can be
Chi-squared_distribution
Probability distribution
noncentral beta distribution is a continuous probability distribution that is a noncentral generalization of the (central) beta distribution. The noncentral
Noncentral_beta_distribution
Continuous probability distribution for a non-negative random variable
the distribution. The parameter β > 0 {\displaystyle \beta >0} is a shape parameter. The distribution is unimodal when β > 1 {\displaystyle \beta >1}
Log-logistic_distribution
Inverse of the average of the inverses of a set of numbers
exists for this distribution H 1 − X = β − 1 α + β − 1 conditional on β > 1 & α > 0 {\displaystyle H_{1-X}={\frac {\beta -1}{\alpha +\beta -1}}{\text{ conditional
Harmonic_mean
Family of continuous probability distributions
now known as the beta distribution had been used by Thomas Bayes as a posterior distribution of the parameter of a Bernoulli distribution in his 1763 work
Pearson_distribution
Stages in development and support of computer software
the rapid and inexpensive distribution of software, companies have begun to take a looser approach to the use of the word beta. A release candidate (RC)
Software_release_life_cycle
Type of probability distribution
{\sqrt {x(1-x)}}}}} on (0, 1). The standard arcsine distribution is a special case of the beta distribution with α = β = 1/2. That is, if X {\displaystyle
Arcsine_distribution
Concept in statistics
compound distribution. Compounding a binomial distribution with probability of success distributed according to a beta distribution yields a beta-binomial
Compound probability distribution
Compound_probability_distribution
Probability distribution
^{-1}+1}}\sim \beta (\beta ,\alpha )} 1 + Y ∼ { β ( β , α ) } − 1 {\displaystyle 1+\mathbf {Y} \sim \{\;\beta (\beta ,\alpha )\;\}^{-1}} , the distribution of the
Ratio_distribution
Family of probability distributions
a variable can take. It is a transformation of the four-parameter beta distribution with an additional assumption that its expected value is μ = a + 4
PERT_distribution
Probability distribution modeling a coin toss which need not be fair
categorical distribution is the generalization of the Bernoulli distribution for variables with any constant number of discrete values. The Beta distribution is
Bernoulli_distribution
Probability distribution
positive imaginary part. The Wigner distribution coincides with a scaled and shifted beta distribution: if Y is a beta-distributed random variable with parameters
Wigner semicircle distribution
Wigner_semicircle_distribution
Continuous probability distribution
{\displaystyle f(x|a,b,\alpha ,\beta )=\alpha \left(x-\beta \right)^{2},\quad {\text{for }}x\in [a,b].} This distribution has effectively only two parameters
U-quadratic_distribution
Mathematical function for the probability a given outcome occurs in an experiment
coefficient) Beta distribution, for a single probability (real number between 0 and 1); conjugate to the Bernoulli distribution and binomial distribution Gamma
Probability_distribution
Statistical confidence interval for success counts
distribution and the beta distribution, the Clopper–Pearson interval is sometimes presented in an alternate format that uses quantiles from the beta distribution
Binomial proportion confidence interval
Binomial_proportion_confidence_interval
Distribution of variables which satisfies a stability property under linear combinations
{\displaystyle \beta =1} , the distribution is supported on [μ, ∞). The parameter c > 0 is a scale factor which is a measure of the width of the distribution while
Stable_distribution
Continuous probability distribution
e − ( β x ) k {\displaystyle f(x;k,\beta )=\beta k({\beta x})^{k-1}e^{-(\beta x)^{k}}} the cumulative distribution function is F ( x ; k , β ) = 1 − e
Weibull_distribution
can be built, which are related to the beta distribution. The process is derived from probability distributions using blur derivative. These new wavelets
Beta_wavelet
Distributions in probability theory
of the beta-binomial distribution, as the multinomial and Dirichlet distributions are multivariate versions of the binomial distribution and beta distributions
Dirichlet-multinomial distribution
Dirichlet-multinomial_distribution
Statistical function that defines the quantiles of a probability distribution
beta and gamma distributions have been given and solved. The normal distribution is perhaps the most important case. Because the normal distribution is
Quantile_function
Type of probability distribution
)+U\cdot (\Phi (\beta )-\Phi (\alpha )))\sigma +\mu } with Φ {\displaystyle \Phi } the cumulative distribution function of the normal distribution to be sampled
Truncated_normal_distribution
Family of continuous probability distributions
β , {\displaystyle \beta ,} the reciprocal of the rate, is sometimes used instead. The Erlang distribution is the distribution of a sum of k {\displaystyle
Erlang_distribution
Measure of inequality of a statistical distribution
Characteristics of the Weibull Distribution". www.weibull.com. Retrieved 30 November 2022. Weisstein, Eric W. "Beta Distribution". mathworld.wolfram.com. Retrieved
Gini_coefficient
Probability distribution
includes the Laplace distribution when β = 1 {\displaystyle \textstyle \beta =1} . As β → ∞ {\displaystyle \textstyle \beta \rightarrow \infty }
Generalized normal distribution
Generalized_normal_distribution
distribution); The beta distribution (with parameters α and β) is the prior distribution of p; α and β are parameters of the prior distribution (beta
Hyperprior
Ionizing radiation
A beta particle, also called beta ray or beta radiation (symbol β), is a high-energy, high-speed electron or positron emitted by the radioactive decay
Beta_particle
Generalization of gamma distribution to multiple dimensions
{\displaystyle \beta } . In particular, with p → ∞ {\displaystyle p\to \infty } and fixed α {\displaystyle \alpha } , the distribution of the smallest
Wishart_distribution
Continuous probability distribution
theory and statistics, the logistic distribution is a continuous probability distribution. Its cumulative distribution function is the logistic function
Logistic_distribution
Parameter of a prior distribution in Bayesian statistics
For example, if one is using a beta distribution to model the distribution of the parameter p of a Bernoulli distribution, then: p is a parameter of the
Hyperparameter (Bayesian statistics)
Hyperparameter_(Bayesian_statistics)
Family of stochastic processes
\beta _{k}} are defined by a recursive scheme that repeatedly samples from the beta distribution Beta ( 1 , α ) {\displaystyle \operatorname {Beta}
Dirichlet_process
Function used in signal processing
distribution used in FIR implementations of gammatone filters, or the beta distribution for a bounded-support approximation to the gamma distribution
Window_function
Random model in mathematics
stopping colored balls are observed. Martingales, the Beta-binomial distribution and the beta distribution: Let w and b be the number of white and black balls
Pólya_urn_model
Probability distribution
{\displaystyle \beta =1} ), unitary ( β = 2 {\displaystyle \beta =2} ), and symplectic ( β = 4 {\displaystyle \beta =4} ). However, the Tracy–Widom distribution family
Tracy–Widom_distribution
Topic in probability theory and statistics
exponential distribution with rate parameter β. A beta distribution with shape parameters α = β = 1 is a continuous uniform distribution over the real
Relationships among probability distributions
Relationships_among_probability_distributions
Fourth standardized moment in statistics
densities with infinite peakedness; e.g., an equal mixture of the beta distribution with parameters 0.5 and 1 with its reflection about 0.0, and there
Kurtosis
Statistical technique for smoothing categorical data
this is equivalent to using a beta distribution as the conjugate prior for the parameters of the binomial distribution. Laplace came up with this smoothing
Additive_smoothing
Probability distribution on a hyper-sphere of arbitrary dimension
B(\alpha ,\beta )} is the beta function. This distribution may be better understood by highlighting its relation to the beta distribution: x i 2 ∼ Beta ( 1 2
Von_Mises–Fisher_distribution
Definition and first properties of the Poisson-Dirichlet distributions
(Y_{n})_{n\geq 1}} such that Y n {\displaystyle Y_{n}} follows the beta distribution of parameters 1 − α {\displaystyle 1-\alpha } and θ + n α {\displaystyle
Poisson-Dirichlet distribution
Poisson-Dirichlet_distribution
Type of radioactive decay
atomic number that is decreased by one. The beta spectrum, or distribution of energy values for the beta particles, is continuous. The total energy of
Beta_decay
Probability distribution used in multivariate hypothesis testing
between a beta and an F-distribution, Wilks' lambda can be related to the F-distribution when one of the parameters of the Wilks lambda distribution is either
Wilks's_lambda_distribution
t-distribution Noncentral chi-squared distribution Noncentral chi-distribution Noncentral F-distribution Noncentral beta distribution In general, noncentrality parameters
Noncentral_distribution
Class of statistical models
(g^{-1}(\mathbf {X} {\boldsymbol {\beta }})).} It is convenient if V follows from an exponential family of distributions, but it may simply be that the variance
Generalized_linear_model
Online vector quantization algorithm
rotated vector follows a shifted and scaled beta distribution, which converges to a normal distribution in high dimensions. In high dimensions, distinct
TurboQuant
Topics referred to by the same term
numbers Beta function (accelerator physics), related to the transverse beam size at a given point in a beam transport system Beta distribution This disambiguation
Beta function (disambiguation)
Beta_function_(disambiguation)
Discrete probability distribution
the Poisson distribution is the gamma distribution. Let λ ∼ G a m m a ( α , β ) {\displaystyle \lambda \sim \mathrm {Gamma} (\alpha ,\beta )} denote that
Poisson_distribution
Family of probability distributions related to the normal distribution
gamma chi-squared beta Dirichlet Bernoulli categorical Poisson Wishart inverse Wishart geometric A number of common distributions are exponential families
Exponential_family
Three-parameter family of continuous probability distributions
variable having another gamma distribution, this time with mean μ {\displaystyle \mu } and shape parameter β {\displaystyle \beta } . The result is that X
K-distribution
Continuous probability distribution
hyperbolic distribution, which has the same property. If x ∼ N I G ( α , β , δ , μ ) and y = a x + b , {\displaystyle x\sim {\mathcal {NIG}}(\alpha ,\beta ,\delta
Normal-inverse Gaussian distribution
Normal-inverse_Gaussian_distribution
Kth smallest value in a statistical sample
uniform distribution is a beta-distributed random variable. U ( k ) ∼ Beta ( k , n + 1 − k ) . {\displaystyle U_{(k)}\sim \operatorname {Beta} (k,n+1\mathbf
Order_statistic
Continuous probability distribution
(MK) distribution is a two-parameter continuous probability distribution defined on the interval (0,1). It serves as an alternative to the beta and Kumaraswamy
Modified Kumaraswamy distribution
Modified_Kumaraswamy_distribution
Probability distribution
problem Beta negative binomial distribution Extended negative binomial distribution Negative multinomial distribution Binomial distribution Poisson distribution
Negative binomial distribution
Negative_binomial_distribution
Generalization of gamma distribution
{\displaystyle \beta {\boldsymbol {\Sigma }}} . inverse matrix gamma distribution. matrix normal distribution. matrix t-distribution. Wishart distribution. Iranmanesh
Matrix_gamma_distribution
Probability distribution with more than one mode
the natural sciences. Important bimodal distributions include the arcsine distribution and the beta distribution (iff both parameters a and b are less than
Multimodal_distribution
Mathematical constant related to the cosine function
{1}{2}},{\tfrac {3}{2}}\right)\approx 0.16319} is the median of a beta distribution with parameters 1/2 and 3/2. In Microsoft Excel, Open Office and LibreOffice
Dottie_number
Probability distribution
{\displaystyle q^{k^{\beta }}-q^{(k+1)^{\beta }}} . Setting β = 1 {\displaystyle \beta =1} makes the relationship with the geometric distribution apparent. An
Discrete_Weibull_distribution
Branch of econometrics
choice. Commonly assumed forms include the beta distribution, the gamma distribution, and the uniform distribution, among others. If the model contains multiple
Bayesian_econometrics
Model in population genetics
{1-F}{F}}p,{\frac {1-F}{F}}(1-p)\right)} where B is the Beta distribution. This distribution has mean p and variance Fp(1 – p). The model is due to David
Balding–Nichols_model
Family of lifetime distributions with decreasing failure rate
h(x)={\frac {-\beta (1-p)e^{-\beta x}}{(1-(1-p)e^{-\beta x})\ln(1-(1-p)e^{-\beta x})}}.} The mean residual lifetime of the EL distribution is given by m
Exponential-logarithmic distribution
Exponential-logarithmic_distribution
Continuous probability distribution
{\displaystyle \lambda =1} and β = 0 {\displaystyle \beta =0} , the distribution becomes a Laplace distribution with scale parameter b = 1 {\displaystyle b=1}
Variance-gamma_distribution
Multivariate generalization of the gamma function
density function of the Wishart and inverse Wishart distributions, and the matrix variate beta distribution. It has two equivalent definitions. One is given
Multivariate_gamma_function
Family of multivariate continuous probability distributions
{\displaystyle \sigma ^{2}\mid \alpha ,\beta \sim \Gamma ^{-1}(\alpha ,\beta )\!} has an inverse-gamma distribution. Then ( x , σ 2 ) {\displaystyle (x,\sigma
Normal-inverse-gamma distribution
Normal-inverse-gamma_distribution
Generalization of Gaussian distribution
\\1&x>{\frac {1}{\sqrt {\beta (1-q)}}}.\end{cases}}} Just as the normal distribution is the maximum information entropy distribution for fixed values of the
Q-Gaussian_distribution
Probability distribution
theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable
Normal_distribution
unstable or beta, nor compare Linux distributions with other operating systems. The table below shows general information about the distributions: founder
Comparison of Linux distributions
Comparison_of_Linux_distributions
Population genetic test statistic
{\displaystyle D\,} statistic described above could be modeled using a beta distribution. If the D {\displaystyle D\,} value for a sample of sequences is outside
Tajima's_D
1763 mathematics essay by Thomas Bayes
number of trials so far observed. This is what today is called the Beta distribution with parameters k + 1 and n − k + 1. Bayes's preliminary results in
An Essay Towards Solving a Problem in the Doctrine of Chances
An_Essay_Towards_Solving_a_Problem_in_the_Doctrine_of_Chances
Conceptual fallacy by Nassim Taleb
this distribution[citation needed] . This idea is modelled in the Beta distribution[citation needed] . Nassim Taleb shares an example that comes from
Ludic_fallacy
Molecular property
and in some cases the normalized force distribution can be accurately represented using a Beta distribution. In concert with the primary surface forces
Adhesion
Generative topic model
_{r=1}^{V}n_{(\cdot ),r}^{i}+\beta _{r}\right)}}.} The goal of Gibbs Sampling here is to approximate the distribution of P ( Z ∣ W ; α , β ) {\displaystyle
Latent_Dirichlet_allocation
Technique for the generative modeling of a continuous probability distribution
probability distribution to be learned, then repeatedly adds noise to it by x t = 1 − β t x t − 1 + β t z t {\displaystyle x_{t}={\sqrt {1-\beta _{t}}}x_{t-1}+{\sqrt
Diffusion_model
these distributions are either difficult to fit to data or not flexible enough to fit the data appropriately. For example, the beta distribution is a flexible
Quantile-parameterized distribution
Quantile-parameterized_distribution
Linux distribution
1993, the Yggdrasil company had sold over 3100 copies of the LGX beta distribution. The production release version carried a pricetag of US$99. However
Yggdrasil_Linux/GNU/X
Probability distribution
probability theory and statistics, the Laplace distribution is a continuous probability distribution named after Pierre-Simon Laplace. It is also sometimes
Laplace_distribution
Objects that generalize functions
}p_{\alpha ,\beta }(\varphi _{m})=0} holds for all multi-indices α, β. The derivative of a tempered distribution is again a tempered distribution. Tempered
Distribution (mathematical analysis)
Distribution_(mathematical_analysis)
Probability distribution in statistical mechanics
Maxwell–Jüttner distribution: f ( γ ) d γ = γ 2 β ( γ ) θ K 2 ( 1 θ ) e − γ / θ d γ {\displaystyle f(\gamma )\,\mathrm {d} \gamma ={\frac {\gamma ^{2}\,\beta (\gamma
Maxwell–Jüttner_distribution
Topics referred to by the same term
Look up Beta, beta, béta, or bêta in Wiktionary, the free dictionary. Beta (B, β) is the second letter of the Greek alphabet. Beta or BETA may also refer
Beta_(disambiguation)
BETA DISTRIBUTION
BETA DISTRIBUTION
Female
Hungarian
Hungarian form of Greek Elisabet, ERZSÉBET means "God is my oath."
Boy/Male
Bengali, Hindu, Indian, Sanskrit
Heart Beat
Female
German
Short form of German Margarete, META means "pearl."
Female
English
Short form of English Beatrix, BEA means "voyager (through life)."Â
Female
English
English name derived from the second letter of the Greek alphabet, beta, related to Hebrew bet, BETA means "house."Â
Female
English
Short form of English Elizabeth, BETH means "God is my oath."Â
Female
English
Short form of English Elizabeth, BET means "God is my oath."Â
Girl/Female
Greek Hebrew English
From the Hebrew Elisheba, meaning either oath of God, or God is satisfaction. Famous bearer: Old...
Female
Polish
Polish name derived from Latin beatus, BEATA means "blessed."Â
Male
Hebrew
(בֶּלַע) Hebrew name BELA means "destruction." In the bible, this is the name of several characters, including a king of Edom.
Female
English
Czech and Polish form of German Bertha, BERTA means "bright."
Female
Hebrew
(× Ö¶×˜Ö·×¢) Hebrew unisex name NETA means meaning "plant, shrub."
Boy/Male
Scottish Shakespearean
Son of Beth.
Female
Italian
 Variant spelling of Italian Zita, ZETA means "little girl." Compare with another form of Zeta.
Female
Spanish
 Short form of Spanish Aleta, LETA means "winged." Compare with another form of Leta.
Female
Polish
Polish form of Greek Elisabet, ELŻBIETA means "God is my oath."
Female
Native American
 Native American Blackfoot name PETA means "golden eagle." Compare with another form of Peta.
Girl/Female
Indian, Marathi
Our Heart Beat
Boy/Male
Hindu, Indian, Sanskrit
Emperor; Single Beat
Biblical
Beth (Hebrew)|house of the sun
BETA DISTRIBUTION
BETA DISTRIBUTION
Boy/Male
Australian, Christian, German
Little Noble One
Female
Italian
Pet form of Italian Graziana, GRAZIELLA means "pleasing, agreeable."
Boy/Male
Italian Teutonic
eagle'.
Boy/Male
Hindu
Husband, Adored, Precious, Pleasant, Spring, Beloved by the Moon, The Moon pleasant
Boy/Male
Muslim
Servant of the finder, Slave of the finder, Perceiver
Boy/Male
British, English
Son of the Slayer
Boy/Male
Muslim
Lecturer, Respect, Supernatural power, Lord of mind
Boy/Male
French, German, Hebrew, Italian
Rest; Rock
Boy/Male
Tamil
Shanmukha Vadivelan | ஷாநà¯à®®à¯à®•à®¾ வாதிவேலந
Lord Murugan
Female
French
Short form of Old French Ad�la�de, ADÈLE means "noble sort."
BETA DISTRIBUTION
BETA DISTRIBUTION
BETA DISTRIBUTION
BETA DISTRIBUTION
BETA DISTRIBUTION
v. i.
A round or course which is frequently gone over; as, a watchman's beat.
v. i.
To make a succession of strokes on a drum; as, the drummers beat to call soldiers to their quarters.
imp. & p. p.
of Bet
v. t.
To beat severely.
v. t.
To beat thoroughly or severely.
n.
The rise or fall of the hand or foot, marking the divisions of time; a division of the measure so marked. In the rhythm of music the beat is the unit.
n.
The common beet (Beta vulgaris).
v. i.
A cheat or swindler of the lowest grade; -- often emphasized by dead; as, a dead beat.
v. i.
To make a sound when struck; as, the drums beat.
pl.
of Seta
n.
A recurring stroke; a throb; a pulsation; as, a beat of the heart; the beat of the pulse.
v. t.
To give the signal for, by beat of drum; to sound by beat of drum; as, to beat an alarm, a charge, a parley, a retreat; to beat the general, the reveille, the tattoo. See Alarm, Charge, Parley, etc.
imp.
of Beat
p. p.
of Beat
v. t.
To strike repeatedly; to lay repeated blows upon; as, to beat one's breast; to beat iron so as to shape it; to beat grain, in order to force out the seeds; to beat eggs and sugar; to beat a drum.
n.
A sudden swelling or reenforcement of a sound, recurring at regular intervals, and produced by the interference of sound waves of slightly different periods of vibrations; applied also, by analogy, to other kinds of wave motions; the pulsation or throbbing produced by the vibrating together of two tones not quite in unison. See Beat, v. i., 8.
v. t.
To beat.
v. t.
That on which bets are laid; the subject of a bet.