text: /**
  * @license Apache-2.0
  *
  * Copyright (c) 2020 The Stdlib Authors.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
  * You may obtain a copy of the License at
  *
  *    http://www.apache.org/licenses/LICENSE-2.0
  *
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS,
  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
  
  'use strict';
  
  // MODULES //
  
  var nanvariancewd = require( '@stdlib/stats/base/nanvariancewd' ).ndarray;
  var sqrt = require( '@stdlib/math/base/special/sqrt' );
  
  
  // MAIN //
  
  /**
  * Computes the standard deviation of a strided array ignoring `NaN` values and using Welford's algorithm.
  *
  * @param {PositiveInteger} N - number of indexed elements
  * @param {number} correction - degrees of freedom adjustment
  * @param {NumericArray} x - input array
  * @param {integer} stride - stride length
  * @param {NonNegativeInteger} offset - starting index
  * @returns {number} standard deviation
  *
  * @example
  * var floor = require( '@stdlib/math/base/special/floor' );
  *
  * var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ];
  * var N = floor( x.length / 2 );
  *
  * var v = nanstdevwd( N, 1, x, 2, 1 );
  * // returns 2.5
  */
  function nanstdevwd( N, correction, x, stride, offset ) {
  	return sqrt( nanvariancewd( N, correction, x, stride, offset ) );
  }
  
  
  // EXPORTS //
  
  module.exports = nanstdevwd;
  