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# Statistics

statistics

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SIR Particle Filter brief tutorial with samples in C#
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Adds features to k-means for missing data, mixed data, and choosing the number of clusters
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Implement Gauss-Newton algorithm in Java to solve non-linear least squares problems; i.e. to find minimum of a function.
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Using R to explore the complexity of time series generated by a simple process

## Latest Articles

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Adds features to k-means for missing data, mixed data, and choosing the number of clusters
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Statistical Outliers detection in Microsoft Excel worksheet using Median() and array formula
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Introduces data clustering and the k-means++ algorithm
by
Implement Gauss-Newton algorithm in Java to solve non-linear least squares problems; i.e. to find minimum of a function.

## All Articles

### Statistics

27 Apr 2015
SIR Particle Filter brief tutorial with samples in C#
24 Dec 2020
Adds features to k-means for missing data, mixed data, and choosing the number of clusters
13 Mar 2017
Implement Gauss-Newton algorithm in Java to solve non-linear least squares problems; i.e. to find minimum of a function.
22 Nov 2016
Using R to explore the complexity of time series generated by a simple process
8 Dec 2016
Using SQLite, leverage the create_aggregate(), and SQL's Between Operator to create a Normal Probability Distribution Histogram, or what is more commonly referred to as a Bell Curve.
14 Jun 2017
Introduces data clustering and the k-means++ algorithm
15 Jan 2015
Discrete Kalman Filter brief tutorial with samples in C#
30 Oct 2016
Complete algorithm for correspondence analysis to add to your own statistical class clibrary