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405 lines
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405 lines
16 KiB
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</div><div id="types">
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<h2 class="fixed">Types in MathNet.Numerics.Statistics</h2>
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<div class="scroll">
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<ul>
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<li>
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<a href="../MathNet.Numerics.Statistics/ArrayStatistics.htm">ArrayStatistics</a>
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<a href="../MathNet.Numerics.Statistics/Bucket.htm">Bucket</a>
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<a href="../MathNet.Numerics.Statistics/Correlation.htm">Correlation</a>
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<a href="../MathNet.Numerics.Statistics/DescriptiveStatistics.htm">DescriptiveStatistics</a>
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<a href="../MathNet.Numerics.Statistics/Histogram.htm">Histogram</a>
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<a href="../MathNet.Numerics.Statistics/KernelDensity.htm">KernelDensity</a>
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<a href="../MathNet.Numerics.Statistics/MovingStatistics.htm">MovingStatistics</a>
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<a href="../MathNet.Numerics.Statistics/QuantileDefinition.htm">QuantileDefinition</a>
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<a href="../MathNet.Numerics.Statistics/RankDefinition.htm">RankDefinition</a>
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<a href="../MathNet.Numerics.Statistics/RunningStatistics.htm" class="current">RunningStatistics</a>
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</li>
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<li>
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<a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm">SortedArrayStatistics</a>
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<a href="../MathNet.Numerics.Statistics/Statistics.htm">Statistics</a>
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</li>
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<li>
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<a href="../MathNet.Numerics.Statistics/StreamingStatistics.htm">StreamingStatistics</a>
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</ul>
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</div>
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<div class="header">
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<p class="class"><strong>Type</strong> RunningStatistics</p>
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<p><strong>Namespace</strong> MathNet.Numerics.Statistics</p>
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</div>
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<div class="sub-header">
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<div id="summary">Running statistics accumulator, allows updating by adding values
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or by combining two accumulators. <blockquote class="remarks">
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This type declares a DataContract for out of the box ephemeral serialization
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with engines like DataContractSerializer, Protocol Buffers and FsPickler,
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but does not guarantee any compatibility between versions.
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It is not recommended to rely on this mechanism for durable persistence.
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</blockquote>
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</div>
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<h3 class="section">Constructors</h3>
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<ul>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#.ctor">RunningStatistics</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#.ctor">RunningStatistics</a></li>
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</ul>
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<h3 class="section">Static Functions</h3>
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<ul>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#Combine">Combine</a></li>
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</ul>
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<h3 class="section">Methods</h3>
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<ul>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#Equals">Equals</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#GetHashCode">GetHashCode</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#GetType">GetType</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#Push">Push</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#PushRange">PushRange</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#ToString">ToString</a></li>
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</ul>
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<h3 class="section">Properties</h3>
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<ul>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#Count">Count</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#Kurtosis">Kurtosis</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#Maximum">Maximum</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#Mean">Mean</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#Minimum">Minimum</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#PopulationKurtosis">PopulationKurtosis</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#PopulationSkewness">PopulationSkewness</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#PopulationStandardDeviation">PopulationStandardDeviation</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#PopulationVariance">PopulationVariance</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#Skewness">Skewness</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#StandardDeviation">StandardDeviation</a></li>
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<li><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm#Variance">Variance</a></li>
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</ul>
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</div>
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<h3 class="section">Public Constructors</h3>
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<div id=".ctor" class="method">
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<h4> <strong>RunningStatistics</strong>()</h4>
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<div class="content">
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</div>
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</div>
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<div id=".ctor" class="method">
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<h4> <strong>RunningStatistics</strong>(<span title="System.Collections.Generic.IEnumerable<double>">IEnumerable<double></span> values)</h4>
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<div class="content">
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</div>
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</div>
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<h3 class="section">Public Static Functions</h3>
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<div id="Combine" class="method">
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<h4><a href="../MathNet.Numerics.Statistics/RunningStatistics.htm">RunningStatistics</a> <strong>Combine</strong>(<a href="../MathNet.Numerics.Statistics/RunningStatistics.htm">RunningStatistics</a> a, <a href="../MathNet.Numerics.Statistics/RunningStatistics.htm">RunningStatistics</a> b)</h4>
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<div class="content">Create a new running statistics over the combined samples of two existing running statistics.
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</div>
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</div>
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<h3 class="section">Public Methods</h3>
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<div id="Equals" class="method">
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<h4><span title="System.bool">bool</span> <strong>Equals</strong>(<span title="System.object">object</span> obj)</h4>
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<div class="content">
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</div>
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</div>
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<div id="GetHashCode" class="method">
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<h4><span title="System.int">int</span> <strong>GetHashCode</strong>()</h4>
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<div class="content">
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</div>
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</div>
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<div id="GetType" class="method">
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<h4><span title="System.Type">Type</span> <strong>GetType</strong>()</h4>
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<div class="content">
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</div>
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</div>
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<div id="Push" class="method">
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<h4><span title="System.void">void</span> <strong>Push</strong>(<span title="System.double">double</span> value)</h4>
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<div class="content">Update the running statistics by adding another observed sample (in-place).
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</div>
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</div>
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<div id="PushRange" class="method">
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<h4><span title="System.void">void</span> <strong>PushRange</strong>(<span title="System.Collections.Generic.IEnumerable<double>">IEnumerable<double></span> values)</h4>
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<div class="content">Update the running statistics by adding a sequence of observed sample (in-place).
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</div>
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</div>
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<div id="ToString" class="method">
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<h4><span title="System.string">string</span> <strong>ToString</strong>()</h4>
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<div class="content">
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</div>
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</div>
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<h3 class="section">Public Properties</h3>
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<div id="Count" class="method">
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<h4><span title="System.long">long</span> <strong>Count</strong> get; </h4>
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<div class="content">Gets the total number of samples.
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</div>
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</div>
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<div id="Kurtosis" class="method">
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<h4><span title="System.double">double</span> <strong>Kurtosis</strong> get; </h4>
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<div class="content">Estimates the unbiased population kurtosis from the provided samples.
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Uses a normalizer (Bessel's correction; type 2).
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Returns NaN if data has less than four entries or if any entry is NaN.
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</div>
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</div>
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<div id="Maximum" class="method">
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<h4><span title="System.double">double</span> <strong>Maximum</strong> get; </h4>
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<div class="content">Returns the maximum value in the sample data.
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Returns NaN if data is empty or if any entry is NaN.
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</div>
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</div>
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<div id="Mean" class="method">
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<h4><span title="System.double">double</span> <strong>Mean</strong> get; </h4>
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<div class="content">Evaluates the sample mean, an estimate of the population mean.
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Returns NaN if data is empty or if any entry is NaN.
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</div>
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</div>
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<div id="Minimum" class="method">
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<h4><span title="System.double">double</span> <strong>Minimum</strong> get; </h4>
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<div class="content">Returns the minimum value in the sample data.
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Returns NaN if data is empty or if any entry is NaN.
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</div>
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</div>
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<div id="PopulationKurtosis" class="method">
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<h4><span title="System.double">double</span> <strong>PopulationKurtosis</strong> get; </h4>
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<div class="content">Evaluates the population kurtosis from the full population.
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Does not use a normalizer and would thus be biased if applied to a subset (type 1).
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Returns NaN if data has less than three entries or if any entry is NaN.
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</div>
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</div>
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<div id="PopulationSkewness" class="method">
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<h4><span title="System.double">double</span> <strong>PopulationSkewness</strong> get; </h4>
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<div class="content">Evaluates the population skewness from the full population.
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Does not use a normalizer and would thus be biased if applied to a subset (type 1).
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Returns NaN if data has less than two entries or if any entry is NaN.
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</div>
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</div>
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<div id="PopulationStandardDeviation" class="method">
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<h4><span title="System.double">double</span> <strong>PopulationStandardDeviation</strong> get; </h4>
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<div class="content">Evaluates the standard deviation from the provided full population.
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On a dataset of size N will use an N normalizer and would thus be biased if applied to a subset.
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Returns NaN if data is empty or if any entry is NaN.
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</div>
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</div>
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<div id="PopulationVariance" class="method">
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<h4><span title="System.double">double</span> <strong>PopulationVariance</strong> get; </h4>
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<div class="content">Evaluates the variance from the provided full population.
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On a dataset of size N will use an N normalizer and would thus be biased if applied to a subset.
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Returns NaN if data is empty or if any entry is NaN.
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</div>
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</div>
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<div id="Skewness" class="method">
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<h4><span title="System.double">double</span> <strong>Skewness</strong> get; </h4>
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<div class="content">Estimates the unbiased population skewness from the provided samples.
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Uses a normalizer (Bessel's correction; type 2).
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Returns NaN if data has less than three entries or if any entry is NaN.
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</div>
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</div>
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<div id="StandardDeviation" class="method">
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<h4><span title="System.double">double</span> <strong>StandardDeviation</strong> get; </h4>
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<div class="content">Estimates the unbiased population standard deviation from the provided samples.
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On a dataset of size N will use an N-1 normalizer (Bessel's correction).
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Returns NaN if data has less than two entries or if any entry is NaN.
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</div>
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</div>
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<div id="Variance" class="method">
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<h4><span title="System.double">double</span> <strong>Variance</strong> get; </h4>
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<div class="content">Estimates the unbiased population variance from the provided samples.
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On a dataset of size N will use an N-1 normalizer (Bessel's correction).
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Returns NaN if data has less than two entries or if any entry is NaN.
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</div>
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</div>
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<div id="footer">
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<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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