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[148,148,100,3,3,100,1,1,100,148,148,100,"b79d0833bbdac1fabd4400c66c30119f0a2efcf8","2025-07-18 20:50:19 +0530"]
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[148,148,100,3,3,100,1,1,100,148,148,100,"be50f23e1c1536026df117b4f374c0001259927d","2025-07-18 21:26:30 +0530"]

stats/base/ndarray/dcovarmtk/index.html

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<div class='footer quiet pad2 space-top1 center small'>
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Code coverage generated by
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<a href="https://istanbul.js.org/" target="_blank" rel="noopener noreferrer">istanbul</a>
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</div>
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stats/base/ndarray/dcovarmtk/index.js.html

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<div class='footer quiet pad2 space-top1 center small'>
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Code coverage generated by
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<a href="https://istanbul.js.org/" target="_blank" rel="noopener noreferrer">istanbul</a>
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stats/base/ndarray/dcovarmtk/main.js.html

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* - a zero-dimensional ndarray specifying degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the covariance according to `N-c` where `c` corresponds to the provided degrees of freedom adjustment. When computing the population covariance, setting this parameter to `0` is the standard choice (i.e., the provided arrays contain data constituting entire populations). When computing the unbiased sample covariance, setting this parameter to `1` is the standard choice (i.e., the provided arrays contain data sampled from larger populations; this is commonly referred to as Bessel's correction).
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*
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* @param {ArrayLikeObject&lt;Object&gt;} arrays - array-like object containing input ndarrays
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* @returns {number} maximum value
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* @returns {number} covariance
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*
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* @example
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* var Float64Array = require( '@stdlib/array/float64' );
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</div>
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