chore: fix remove un-desired imports and namespaces

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown_pkg_readmes
    status: na
  - task: lint_markdown_docs
    status: na
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
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    status: na
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  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: passed
  - task: lint_license_headers
    status: passed
---

Author: Neerajpathak07

lib/node_modules/@stdlib/stats/base/docs/types/index.d.ts

@@ -39,19 +39,6 @@ import snanvariancepn = require( '@stdlib/stats/base/snanvariancepn' );
 import snanvariancetk = require( '@stdlib/stats/base/snanvariancetk' );
 import snanvariancewd = require( '@stdlib/stats/base/snanvariancewd' );
 import snanvarianceyc = require( '@stdlib/stats/base/snanvarianceyc' );
-import dmeankbn2 = require( '@stdlib/stats/strided/dmeankbn2' );
-import dmeanli = require( '@stdlib/stats/strided/dmeanli' );
-import dmeanlipw = require( '@stdlib/stats/strided/dmeanlipw' );
-import dmeanors = require( '@stdlib/stats/strided/dmeanors' );
-import dmeanpw = require( '@stdlib/stats/strided/dmeanpw' );
-import dmeanwd = require( '@stdlib/stats/strided/dmeanwd' );
-import dmediansorted = require( '@stdlib/stats/strided/dmediansorted' );
-import dmidrange = require( '@stdlib/stats/strided/dmidrange' );
-import dmin = require( '@stdlib/stats/strided/dmin' );
-import dminabs = require( '@stdlib/stats/strided/dminabs' );
-import dminsorted = require( '@stdlib/stats/strided/dminsorted' );
-import dnanmax = require( '@stdlib/stats/strided/dnanmax' );
-import dnanmaxabs = require( '@stdlib/stats/strided/dnanmaxabs' );
 
 /**
 * Interface describing the `base` namespace.
@@ -520,344 +507,6 @@ interface Namespace {
 	* // returns ~4.3333
 	*/
 	snanvarianceyc: typeof snanvarianceyc;
-
-	/**
-	* Computes the arithmetic mean of a double-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.
-	*
-	* @param N - number of indexed elements
-	* @param x - input array
-	* @param strideX - stride length
-	* @returns arithmetic mean
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmeankbn2( x.length, x, 1 );
-	* // returns ~0.3333
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmeankbn2.ndarray( x.length, x, 1, 0 );
-	* // returns ~0.3333
-	*/
-	dmeankbn2: typeof dmeankbn2;
-
-	/**
-	* Computes the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm.
-	*
-	* @param N - number of indexed elements
-	* @param x - input array
-	* @param strideX - stride length
-	* @returns arithmetic mean
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmeanli( x.length, x, 1 );
-	* // returns ~0.3333
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmeanli.ndarray( x.length, x, 1, 0 );
-	* // returns ~0.3333
-	*/
-	dmeanli: typeof dmeanli;
-
-	/**
-	* Computes the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
-	*
-	* @param N - number of indexed elements
-	* @param x - input array
-	* @param strideX - stride length
-	* @returns arithmetic mean
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmeanlipw( x.length, x, 1 );
-	* // returns ~0.3333
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmeanlipw.ndarray( x.length, x, 1, 0 );
-	* // returns ~0.3333
-	*/
-	dmeanlipw: typeof dmeanlipw;
-
-	/**
-	* Computes the arithmetic mean of a double-precision floating-point strided array using ordinary recursive summation.
-	*
-	* @param N - number of indexed elements
-	* @param x - input array
-	* @param strideX - stride length
-	* @returns arithmetic mean
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmeanors( x.length, x, 1 );
-	* // returns ~0.3333
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmeanors.ndarray( x.length, x, 1, 0 );
-	* // returns ~0.3333
-	*/
-	dmeanors: typeof dmeanors;
-
-	/**
-	* Computes the arithmetic mean of a double-precision floating-point strided array using pairwise summation.
-	*
-	* @param N - number of indexed elements
-	* @param x - input array
-	* @param strideX - stride length
-	* @returns arithmetic mean
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmeanpw( x.length, x, 1 );
-	* // returns ~0.3333
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmeanpw.ndarray( x.length, x, 1, 0 );
-	* // returns ~0.3333
-	*/
-	dmeanpw: typeof dmeanpw;
-
-	/**
-	* Computes the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.
-	*
-	* @param N - number of indexed elements
-	* @param x - input array
-	* @param strideX - stride length
-	* @returns arithmetic mean
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmeanwd( x.length, x, 1 );
-	* // returns ~0.3333
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmeanwd.ndarray( x.length, x, 1, 0 );
-	* // returns ~0.3333
-	*/
-	dmeanwd: typeof dmeanwd;
-
-	/**
-	* Computes the median value of a sorted double-precision floating-point strided array.
-	*
-	* @param N - number of indexed elements
-	* @param x - sorted input array
-	* @param strideX - stride length
-	* @returns median value
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
-	*
-	* var v = ns.dmediansorted( x.length, x, 1 );
-	* // returns 2.0
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
-	*
-	* var v = ns.dmediansorted.ndarray( x.length, x, 1, 0 );
-	* // returns 2.0
-	*/
-	dmediansorted: typeof dmediansorted;
-
-	/**
-	* Computes the mid-range of a double-precision floating-point strided array.
-	*
-	* @param N - number of indexed elements
-	* @param x - input array
-	* @param strideX - stride length
-	* @returns mid-range
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmidrange( x.length, x, 1 );
-	* // returns 0.0
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmidrange.ndarray( x.length, x, 1, 0 );
-	* // returns 0.0
-	*/
-	dmidrange: typeof dmidrange;
-
-	/**
-	* Computes the minimum value of a double-precision floating-point strided array.
-	*
-	* @param N - number of indexed elements
-	* @param x - input array
-	* @param strideX - stride length
-	* @returns minimum value
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmin( x.length, x, 1 );
-	* // returns -2.0
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmin.ndarray( x.length, x, 1, 0 );
-	* // returns -2.0
-	*/
-	dmin: typeof dmin;
-
-	/**
-	* Computes the minimum absolute value of a double-precision floating-point strided array.
-	*
-	* @param N - number of indexed elements
-	* @param x - input array
-	* @param strideX - stride length
-	* @returns minimum absolute value
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dminabs( x.length, x, 1 );
-	* // returns 1.0
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dminabs.ndarray( x.length, x, 1, 0 );
-	* // returns 1.0
-	*/
-	dminabs: typeof dminabs;
-
-	/**
-	* Computes the minimum value of a sorted double-precision floating-point strided array.
-	*
-	* @param N - number of indexed elements
-	* @param x - sorted input array
-	* @param strideX - stride length
-	* @returns minimum value
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
-	*
-	* var v = ns.dminsorted( x.length, x, 1 );
-	* // returns 1.0
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
-	*
-	* var v = ns.dminsorted.ndarray( x.length, x, 1, 0 );
-	* // returns 1.0
-	*/
-	dminsorted: typeof dminsorted;
-
-	/**
-	* Computes the maximum value of a double-precision floating-point strided array, ignoring `NaN` values.
-	*
-	* @param N - number of indexed elements
-	* @param x - input array
-	* @param strideX - stride length
-	* @returns maximum value
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-	*
-	* var v = ns.dnanmax( x.length, x, 1 );
-	* // returns 2.0
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-	*
-	* var v = ns.dnanmax.ndarray( x.length, x, 1, 0 );
-	* // returns 2.0
-	*/
-	dnanmax: typeof dnanmax;
-
-	/**
-	* Computes the maximum absolute value of a double-precision floating-point strided array, ignoring `NaN` values.
-	*
-	* @param N - number of indexed elements
-	* @param x - input array
-	* @param strideX - stride length
-	* @returns maximum absolute value
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-	*
-	* var v = ns.dnanmaxabs( x.length, x, 1 );
-	* // returns 2.0
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-	*
-	* var v = ns.dnanmaxabs.ndarray( x.length, x, 1, 0 );
-	* // returns 2.0
-	*/
-	dnanmaxabs: typeof dnanmaxabs;
 }
 
 /**