Tessero\Stats\Distribution

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__construct

__construct(string $name, array $params)

name

name(): string

The SciPy name ("gamma").

args

args(): array

pdf

pdf(mixed $x): Tessero\NDArray|float

logpdf

logpdf(mixed $x): Tessero\NDArray|float

pmf

pmf(mixed $k): Tessero\NDArray|float

Probability mass function (discrete distributions).

logpmf

logpmf(mixed $k): Tessero\NDArray|float

cdf

cdf(mixed $x): Tessero\NDArray|float

logcdf

logcdf(mixed $x): Tessero\NDArray|float

sf

sf(mixed $x): Tessero\NDArray|float

logsf

logsf(mixed $x): Tessero\NDArray|float

ppf

ppf(mixed $q): Tessero\NDArray|float

isf

isf(mixed $q): Tessero\NDArray|float

stats

stats(string $moments = 'mv'): Tessero\NDArray|array|float

Mean ('m'), variance ('v'), skew ('s') and/or excess kurtosis ('k').

mean

mean(): Tessero\NDArray|float

var

var(): Tessero\NDArray|float

std

std(): Tessero\NDArray|float

median

median(): Tessero\NDArray|float

entropy

entropy(): Tessero\NDArray|float

moment

moment(int $order): Tessero\NDArray|float

Non-central moment of the given order.

support

support(): array

interval

interval(float $confidence): array

rvs

rvs(array|int|null $size = null, ?Tessero\Random\Generator $randomState = null): Tessero\NDArray|int|float

Random variates, drawn from $randomState's stream exactly as scipy.stats draws them from a numpy.random.Generator (rvs(size, random_state=numpy.random.default_rng(seed))).