I'm blogging this and I'd just like to say I have no guilt in doing so, as I have personally sent over a thousand dollars Mr. O'Reilly's way over the years. An HTML version of a book is not a replacement of a book, and I would continue to buy books even if all of them were available online. Maybe once adaptive paper screens are widespread, that will change.

This site has the O'Reilly collections on: Java, Perl, Networking, Unix, Web Development, Linux Web Servers and Oracle.

A very, very handy resource.

O'Reilly Reference Library for Free : Ukraine Rocks

Overview
Multiple regression is used to account for (predict) the variance in an interval dependent, based on linear combinations of interval, dichotomous, or dummy independent variables. Multiple regression can establish that a set of independent variables explains a proportion of the variance in a dependent variable at a significant level (through a significance test of R2), and can establish the relative predictive importance of the independent variables (by comparing beta weights). Power terms can be added as independent variables to explore curvilinear effects. Cross-product terms can be added as independent variables to explore interaction effects. One can test the significance of difference of two R2's to determine if adding an independent variable to the model helps significantly. Using hierarchical regression, one can see how most variance in the dependent can be explained by one or a set of new independent variables, over and above that explained by an earlier set. Of course, the estimates (b coefficients and constant) can be used to construct a prediction equation and generate predicted scores on a variable for further analysis.

PA 765: Multiple Regression

Michael Thomas Flanagan's Java Library
Regression Class

Lots of functionality for multiple regressions

Michael Thomas Flanagan's Java Library: Class Regression

Together, the couple stalked an elusive sequence of DNA hidden in the heredity of every human cell. The wayward strand appeared to seek out developing brain cells and, like a virus, arbitrarily alter their genetic makeup.

In this way, it might be partly responsible for the infinite variety of the mind.

Brain's Darwin Machine - Los Angeles Times

public class Regression

Regression - Java

regression analysis is used to model the relationship between random variables: One or more response variables or dependent variables (usually named Y), and the predictors (also called input variables, independent variables or explanatory variables), usually named X1,...,Xp). If there is more than one response variable, we speak of multivariate regression, which is not covered in this article.

Regression analysis is most commonly associated with fitting a curve (function) to some set of measurement data (curve fitting), but it can have several objectives:

* Prediction of future observations, as by curve fitting
* Determining how closely the response can be predicted by the predictor
* Assessing the relationship between the predictors

Regression analysis - Wikipedia, the free encyclopedia

What is SOCR?

It's is online, therefore it exists!

SOCR LogoThe goals of the SOCR Resource are to design, validate and freely disseminate knowledge. Our Resource specifically provides portable online aids for probability and statistics education, technology based instruction and statistical computing. SOCR tools and resources include a repository of interactive applets, computational and graphing tools, instructional and course materials.

SOCR: Statistics Online Computational Resource

The ANOVA Applet should open on its own. If you do not see it in the next 5 seconds it pronbably means your browser is NOT Java-enabled!

Analysis of variance (ANOVA) performs comparisons like the t-Test, but for an arbitrary number of factors. Each factor can have an arbitrary number of levels. Furthermore each factor combination can have any number of replicates. ANOVA works on a single dependent variable. The factors must be discrete. The ANOVA can be thought of in a practical sense as an extension of the t-Test to an arbitrary number of factors and levels. It can also be thought of as a linear regression model whose independent variables are restricted to a discrete set.

ANOVA Java Applet

Tape is Dead!
Well not quite, but the evolution has begun and its extinction is near. This may sound a bit brash on the surface however there is some truth to both statements. Businesses today, especially regulated industries and e-businesses must focus on business continuity, which is basically a plan for disaster recovery. By utilizing the benefits of disk-to-disk storage there is a better disaster recovery and backup storage solution. What is wrong with the good ole tape backup solutions? What is disk-to-disk backup storage and why is it better?

Backup Solutions - Storage & Backup Servers

IT architects are talking a lot these days about getting rid of tape, and for a multitude of reasons--it's too slow and hard to use, hard disks have gotten cheaper, certain databases and applications require faster recoveries, and so on. According to consulting firm TheInfoPro, 90 percent of companies plan to move from tape to Serial Advanced Technology Attachment (SATA) disk drives as part of their backup/recovery and data lifecycle management plans by 2006. But for all the brave talk, few IT organizations have truly eliminated tape from their infrastructure, as IT and systems managers will sheepishly admit. Tape is cheap, it more or less works, and everyone is used to it. Some say there will always be a place for tape in long-term archiving. A 2.5-inch Linear Tape Open (LTO) cartridge that holds 600GB is still one of the more space-efficient archive media.

IT Architect | Better Backup Strategies | November 1, 2005