Exponential functions in the Stochastic DuckDB extension
Function category
Exponential
21 functionsExponential distribution — memoryless waiting time between events at rate λ. Survival analysis and reliability.
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Argument
x
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Computes the cumulative distribution function (CDF) of the exponential distribution. Returns the probability that a random variable X is less than or equal to x.
SELECT dist_exponential_cdf(1.0, 0.5);
Output
| dist_exponential_cdf(1.0, 0.5) |
|---|
| 0.3934693402873666 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Argument
x
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Computes the complementary cumulative distribution function (1 - CDF) of the exponential distribution. Returns the probability that X > x, equivalent to the survival function.
SELECT dist_exponential_cdf_complement(1.0, 0.5);
Output
| dist_exponential_cdf_complement(1.0, 0.5) |
|---|
| 0.6065306597126334 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Argument
x
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Computes the cumulative hazard function of the exponential distribution.
SELECT dist_exponential_chf(1.0, 0.5);
Output
| dist_exponential_chf(1.0, 0.5) |
|---|
| 0.5 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Argument
x
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Computes the hazard function of the exponential distribution.
SELECT dist_exponential_hazard(1.0, 0.5);
Output
| dist_exponential_hazard(1.0, 0.5) |
|---|
| 1.0 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Returns the kurtosis of the exponential distribution.
SELECT dist_exponential_kurtosis(1.0);
Output
| dist_exponential_kurtosis(1.0) |
|---|
| 9.0 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Returns the excess kurtosis of the exponential distribution.
SELECT dist_exponential_kurtosis_excess(1.0);
Output
| dist_exponential_kurtosis_excess(1.0) |
|---|
| 6.0 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Argument
x
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Computes the natural logarithm of the cumulative distribution function (CDF) of the exponential distribution. Returns the logarithm of the probability that a random variable X is less than or equal to x.
SELECT dist_exponential_log_cdf(1.0, 0.5);
Output
| dist_exponential_log_cdf(1.0, 0.5) |
|---|
| -0.9327521295671886 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Argument
x
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Computes the natural logarithm of the complementary cumulative distribution function (1 - CDF) of the exponential distribution. Returns the logarithm of the probability that X > x, equivalent to the survival function.
SELECT dist_exponential_log_cdf_complement(1.0, 0.5);
Output
| dist_exponential_log_cdf_complement(1.0, 0.5) |
|---|
| -0.5 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Argument
x
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Computes the natural logarithm of the probability density function (log-PDF) of the exponential distribution. Useful for numerical stability when dealing with very small probabilities.
SELECT dist_exponential_log_pdf(1.0, 0.5);
Output
| dist_exponential_log_pdf(1.0, 0.5) |
|---|
| -0.5 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Returns the mean (μ) of the exponential distribution, which is the first moment.
SELECT dist_exponential_mean(1.0);
Output
| dist_exponential_mean(1.0) |
|---|
| 1.0 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Returns the median (50th percentile) of the exponential distribution, which equals the mean.
SELECT dist_exponential_median(1.0);
Output
| dist_exponential_median(1.0) |
|---|
| 0.6931471805599453 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Returns the mode (most likely value) of the exponential distribution, which equals the mean.
SELECT dist_exponential_mode(1.0);
Output
| dist_exponential_mode(1.0) |
|---|
| 0.0 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Argument
x
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Computes the probability density function (PDF) of the exponential distribution. Returns the probability densityat point x for a exponential distribution with specified parameters.
SELECT dist_exponential_pdf(1.0, 0.5);
Output
| dist_exponential_pdf(1.0, 0.5) |
|---|
| 0.6065306597126334 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Argument
p
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Computes the quantile function (inverse CDF) of the exponential distribution. Returns the value x such that P(X ≤ x) = p, where p is the cumulative probability.
SELECT dist_exponential_quantile(1.0, 0.95);
Output
| dist_exponential_quantile(1.0, 0.95) |
|---|
| 2.99573227355399 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Argument
p
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Computes the complementary quantile function of the exponential distribution. Returns the value x such that P(X > x) = p, useful for computing upper tail quantiles.
SELECT dist_exponential_quantile_complement(1.0, 0.05);
Output
| dist_exponential_quantile_complement(1.0, 0.05) |
|---|
| 2.995732273553991 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Returns the range of the exponential distribution.
SELECT dist_exponential_range(1.0);
Output
| dist_exponential_range(1.0) |
|---|
| (0.0, inf) |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Generates random samples from the exponential distribution with specified parameters.
SELECT dist_exponential_sample(1.0);
Output
| dist_exponential_sample(1.0) |
|---|
| 1.0694970905789465 |
Related functions
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Returns the skewness of the exponential distribution.
SELECT dist_exponential_skewness(1.0);
Output
| dist_exponential_skewness(1.0) |
|---|
| 2.0 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Returns the standard deviation (σ) of the exponential distribution.
SELECT dist_exponential_stddev(1.0);
Output
| dist_exponential_stddev(1.0) |
|---|
| 1.0 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Returns the support of the exponential distribution.
SELECT dist_exponential_support(1.0);
Output
| dist_exponential_support(1.0) |
|---|
| (2.2250738585072014e-308, 1.7976931348623157e+308) |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution
Signature
Arguments (Positional)
| Argument | Type | Mode | Description |
|---|---|---|---|
Argument
rate
|
Type
DOUBLE
|
Mode Positional | Description |
Description
Returns the variance (σ²) of the exponential distribution.
SELECT dist_exponential_variance(1.0);
Output
| dist_exponential_variance(1.0) |
|---|
| 1.0 |
Related functions
- dist_exponential_sample() — Generates random samples from the exponential distribution with specified parameters
- dist_exponential_pdf() — Computes the probability density function (PDF) of the exponential distribution
- dist_exponential_cdf() — Computes the cumulative distribution function (CDF) of the exponential distribution
- dist_exponential_quantile() — Computes the quantile function (inverse CDF) of the exponential distribution
- dist_exponential_mean() — Returns the mean (μ) of the exponential distribution, which is the first moment
- dist_exponential_stddev() — Returns the standard deviation (σ) of the exponential distribution