Bhatia-Davis inequality
Popoviciu's inequality
Rademacher distribution
hyperdistribution
hypergeometric random variable
Yule-Simon distribution
pseudolikelihood
fat tail
probability paper
hyperensemble
probability distribution
average absolute deviation
average deviation
chi-square distribution
capital market line
marginal distribution
Pareto distribution
skew
probabilistics
ogive
standard normal random variable
outlier
Cramér-Rao bound
density
spectrum
Wilks's theorem
Gaussian shape
maximum
kurtosis
normally
likelihood
Gaussian curve
normal curve
bell-shaped curve
distribution
standard deviation
subdistribution
Gaussian distribution
normal distribution
normal random variable
cumulant
easily
hinge
joint probability
well
Poisson distribution
probability density
abmodality
central limit theorem
step function
Helly-Bray theorem
Mittag-Leffler distribution
multimodality
moment-generating function
random
gradiently
central moment
gamma distribution
characteristic function
Chebyshev's inequality
Gibbs algorithm
probability density function
uniform distribution
curve
variance
cross-multiply
multinormal
variogram
trimean
scedasticity
average
conditional probability distribution
mean
polychoric
Wilson score interval
Caccioppoli set
normal
Tukey lambda distribution
Markowitz bullet
ensemble
error function
hyperexponential
changepoint
second moment
bell curve
mean standard
pseudorational
probability theory
upper quartile
Cauchy distribution
theory of probability
Rice distribution
hypergeometric distribution
Gumbel distribution
distribution-free
confidence interval
Box-Muller transform
68-95-99.7 rule
Slutsky's theorem

English words for 'An upper bound on the variance of any bounded probability distribution on the real line.'

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