Tag Archives: curve fitting

Book Errata Page: The C# Helper Top 100

This is the errata page for my book The C# Helper Top 100, The 100 most popular posts at csharphelper.com. If you find mistakes, please post them here in the Leave a Reply box at the bottom of the page. … Continue reading

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Book Discussion Page: The C# Helper Top 100

This is a discussion page for my book The C# Helper Top 100, The 100 most popular posts at csharphelper.com. Please post questions, thoughts, and suggestions here in the “Leave a Reply” box at the bottom of the page. I … Continue reading

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Table of Contents: The C# Helper Top 100

This is a brief summary of the book’s table of contents. Introduction Part I. Serialization 1. Read a CSV File into an Array (1) 2. Use JSON to Serialize and Deserialize Objects (49) Part II. Graphing 3. Draw a Graph … Continue reading

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New Book: The C# Helper Top 100

I’m happy to announce my latest book, The C# Helper Top 100, The 100 most popular posts at csharphelper.com. It describes the 100 most popular posts on the C# Helper web site. This is my 32nd book and my second … Continue reading

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Find a least squares Weibull curve fit for a set of points in C#

Not long ago, a client wanted to fit a set of data points to a Weibull curve of the form: The earlier example Find an exponential least squares fit for a set of points in C# explains how to find … Continue reading

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Find an exponential least squares fit for a set of points in C#

This example shows how to use exponential least squares to find an exponential equation that fits a set of data points. The following examples show how to fit a set of points that lie along a line or polynomial equation: … Continue reading

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Find a polynomial least squares fit for a set of points in C#

This example shows how to make a polynomial least squares fit to a set of data points. It’s kind of confusing, but you can get through it if you take it one step at a time. The example Find a … Continue reading

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Find a linear least squares fit for a set of points in C#

This example shows how you can make a linear least squares fit to a set of data points. Suppose you have a set of data points that you believe were generated by a process that should ideally be linear. In … Continue reading

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