RANDTDIST

Updated 2023-10-18 19:36:36.863000

Syntax

SELECT * FROM [westclintech].[wct].[RANDTDIST](
  <@Rows, int,>
 ,<@df, float,>)

Description

Use the table-valued function RANDTDIST to generate a sequence of random numbers from Student's t distribution with parameter @df.

Arguments

@df

the degrees of freedom. @df must be of the type float or of a type that implicitly converts to float.

@Rows

the number of rows to generate. @Rows must be of the type int or of a type that implicitly converts to int.

Return Type

table

{"columns": [{"field": "colName", "headerName": "Name", "header": "name"}, {"field": "colDatatype", "headerName": "Type", "header": "type"}, {"field": "colDesc", "headerName": "Description", "header": "description", "minWidth": 1000}], "rows": [{"id": "25a80935-ae01-439f-84df-7056159672d4", "colName": "Seq", "colDatatype": "int", "colDesc": "A monotonically increasing sequence number"}, {"id": "ea72d5e8-bd1f-436d-80ba-7f5e91ab0f35", "colName": "X", "colDatatype": "float", "colDesc": "The random variable"}]}

Remarks

@df must be greater than zero.

If @df is NULL then @Shape is set to 1.

If @Rows is less than 1 then no rows are returned.

Examples

In this example we create a sequence 1,000,000 random numbers rounded to one decimal place from a Student's t distribution with @df = 10, COUNT the results, paste the results into Excel and graph them.

SELECT X,

       COUNT(*) as [COUNT]

FROM

(

    SELECT ROUND(X, 1) as X

    FROM wct.RANDTDIST(   1000000, --@Rows

                          10       --@df

                      )

) n

GROUP BY X

ORDER BY X;

This produces the following result.

In this example we generate 1,000,000 random numbers from a t distribution with @lambda of 6. We calculate the mean, standard deviation, skewness, and excess kurtosis from the resultant table and compare those values to the expected values for the distribution.

DECLARE @size as int = 1000000;

DECLARE @lambda as float = 6;

DECLARE @mean as float = 0;

DECLARE @var as float = CASE

                            WHEN @lambda <= 2 THEN

                                NULL

                            ELSE

                                @lambda / (@lambda - 2)

                        END;

DECLARE @stdev as float = SQRT(@var);

DECLARE @skew as float = 0;

DECLARE @kurt as float = CASE

                             WHEN @lambda <= 4 THEN

                                 NULL

                             ELSE

                                 6 / (@lambda - 4)

                         END;

SELECT stat,

       [RANDTDIST],

       [EXPECTED]

FROM

(

    SELECT x.*

    FROM

    (

        SELECT AVG(x) as mean_TDIST,

               STDEVP(x) as stdev_TDIST,

               wct.SKEWNESS_P(x) as skew_TDIST,

               wct.KURTOSIS_P(x) as kurt_TDIST

        FROM wct.RANDTDIST(@size, @lambda)

    ) n

        CROSS APPLY

    (

        VALUES

            ('RANDTDIST', 'avg', mean_TDIST),

            ('RANDTDIST', 'stdev', stdev_TDIST),

            ('RANDTDIST', 'skew', skew_TDIST),

            ('RANDTDIST', 'kurt', kurt_TDIST),

            ('EXPECTED', 'avg', @mean),

            ('EXPECTED', 'stdev', @stdev),

            ('EXPECTED', 'skew', @skew),

            ('EXPECTED', 'kurt', @kurt)

    ) x (fn_name, stat, val_stat)

) d

PIVOT

(

    sum(val_stat)

    FOR fn_name in ([RANDTDIST], [EXPECTED])

) P;

This produces the following result (your result will be different).

{"columns":[{"field":"stat"},{"field":"RANDTDIST","headerClass":"ag-right-aligned-header","cellClass":"ag-right-aligned-cell"},{"field":"EXPECTED","headerClass":"ag-right-aligned-header","cellClass":"ag-right-aligned-cell"}],"rows":[{"stat":"avg","RANDTDIST":"0.000255903904467406","EXPECTED":"0"},{"stat":"kurt","RANDTDIST":"3.00998030754108","EXPECTED":"3"},{"stat":"skew","RANDTDIST":"0.0148237899631972","EXPECTED":"0"},{"stat":"stdev","RANDTDIST":"1.22461089322925","EXPECTED":"1.22474487139159"}]}