Glossary
General
English
- increasing function
- nondecreasing function
- interval \([a,b)\)
French
- fonction strictement croissante
- fonction croissante
- intervalle \([a,b[\)
Probability/Statistics
English
- probability distribution
- expectation
- likelihood
- distribution tail
- CDF (Cumul. Distrib. Func.)
- PDF (Proba. Density Func.)
- CLT (Central Limit Theorem)
- LLN (Law of Large Numbers)
French
- loi de probabilité
- espérance
- vraissemblance
- queue de distribution
- Fonction de Répartition
- Densité d’une distribution
- TLC (Th. de la limite centrale)
- Loi des grands nombres
Hypothesis Testing
English
- A sample
- one-sided test
- two-sided test
- chi-squared goodness of fit test
- chi-squared homogeneity test
French
- Un échantillon
- test unilatéral
- test bilatéral
- test d’adéquation du Khi-deux
- test d’homogénéité du Khi-deux
Programming Languages (JupytR)
Julia
using Distributions
n = 100
x = 20
p = 0.5
q = 0.95
cdf(Binomial(n, p), x)
quantile(Binomial(n,p), q)
cdf(Normal(0,1), x)
quantile(Normal(0,1), q)
cdf(Chisq(n), x) # Chi-squared
cdf(TDist(n), x) # Student
n1,n2 = 5,10
cdf(FDist(n1, n2), x) # Fisher
lmbda = 2
cdf(Gamma(n, lmbda), x) # Gamma
cdf(Poisson(lmbda), x) # PoissonPython
from scipy.stats import *
n = 100
x = 20
p = 0.5
q = 0.95
binom.cdf(x, n, p)
binom.ppf(q, n, p) # Quantile
norm.cdf(x)
norm.ppf(q)
chi2.cdf(x, n)
t.cdf(x, n) # Student
n1,n2 = 5,10
f.cdf(x, n1, n2) # Fisher
lmbda = 2
gamma.cdf(x,n,lmbda) # Gamma
poisson.cdf(x, lmbda) # PoissonR
n = 100
x = 20
p = 0.5
q = 0.95
pbinom(x, n, p)
qbinom(q, n, p)
pnorm(x)
qnorm(q)
pchisq(x, n)
pt(x, n)
n1,n2 = 5,10
pf(x, n1,n2)
lmbda = 2
pgamma(x,n,lmbda)
ppois(x, lmbda)