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mirror of https://github.com/mainflux/mainflux.git synced 2025-04-26 13:48:53 +08:00
Dušan Borovčanin 412593ae94
NOISSUE - Update dependencies (#1838)
* Update dependencies

Signed-off-by: dusanb94 <dusan.borovcanin@mainflux.com>

* Update dependencies

Fix Timescale Reader bug.

Signed-off-by: dusanb94 <dusan.borovcanin@mainflux.com>

* Revert influxdb-reader changes

Signed-off-by: dusanb94 <dusan.borovcanin@mainflux.com>

* Update dependencies to latest supported versions

Signed-off-by: dusanb94 <dusan.borovcanin@mainflux.com>

---------

Signed-off-by: dusanb94 <dusan.borovcanin@mainflux.com>
Co-authored-by: Drasko DRASKOVIC <drasko.draskovic@gmail.com>
2023-07-06 20:44:12 +02:00

43 lines
1.0 KiB
Go

package stats
import (
"math"
)
// ProbGeom generates the probability for a geometric random variable
// with parameter p to achieve success in the interval of [a, b] trials
// See https://en.wikipedia.org/wiki/Geometric_distribution for more information
func ProbGeom(a int, b int, p float64) (prob float64, err error) {
if (a > b) || (a < 1) {
return math.NaN(), ErrBounds
}
prob = 0
q := 1 - p // probability of failure
for k := a + 1; k <= b; k++ {
prob = prob + p*math.Pow(q, float64(k-1))
}
return prob, nil
}
// ProbGeom generates the expectation or average number of trials
// for a geometric random variable with parameter p
func ExpGeom(p float64) (exp float64, err error) {
if (p > 1) || (p < 0) {
return math.NaN(), ErrNegative
}
return 1 / p, nil
}
// ProbGeom generates the variance for number for a
// geometric random variable with parameter p
func VarGeom(p float64) (exp float64, err error) {
if (p > 1) || (p < 0) {
return math.NaN(), ErrNegative
}
return (1 - p) / math.Pow(p, 2), nil
}