Introduction to Set Theory
This is an elementary introduction to set theory. It is design to give enough competency to work with sets in other types of math, such as statistics, that utilize set theory.
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How to Derive the F Distribution
If you are unfamiliar with variable changes READ THIS PROOF! In it I derive the F Distribution probability function from the Chi-squared distribution.
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Tactics for Parallel Processing in TSQL
Learn the tools and tactics to stretch the functionality of SQL Server to the maximum and make parallel processing in TSQL a reality (even if you shouldn’t).
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SQL Server Tip: Dynamic SQL Dummy References
Object dependencies are an important part of a supportable SQL Server DB. Dynamic SQL can obfuscate dependencies and require dummy references to correct.
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Linear Regression R Squared Formula
In part 4 of my series on linear regression the right way you will learn an alternative method to judge model accuracy: the linear regression R squared formula.
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How to Matrix: A Simple Quick Reference
This is a quick reference for the fundamentals of vectors and matrices. Their structure, properties, operations, etc. Learn how to matrix.
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Linear Regression F Test of Model Variance
This post covers in detail the linear regression F test, the formulas for each component, how to derive them, and how to implement them in R.
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Bob Murphy is Wrong About Conditionally Convergent Series
Recently Bob Murphy discussed an apparent paradox in Riemann’s rearrangement theorem. In this post I discuss why that is a false paradox and how to resolve it.
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How to Derive the T Distribution
This simple yet detailed post shows how to derive the T distribution and also how this relates to the Z distribution and sample standard deviation.
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Linear Regression T Test For Coefficients
In part 2 of this series on linear regression the right way you will learn how to perform, derive, and implement a regression T test for each coefficient.
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Linear Regression Formula For Coefficients – The RIGHT WAY
Learn the linear regression formula THE RIGHT WAY! This post will show you the actual formula for estimating regression coefficients in its proper matrix form.
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