JSTOR Daily

Spatial Regression Models, Response Surfaces, and Process Optimization

Spatial regression models are developed as a complementary alternative to second-order polynomial response surfaces in the context of process optimization. These models provide estimates of design ...
technologynetworks

Linear Regression

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...
Design-Reuse

Breker Verification Systems Unveils Intelligent Regression Optimization Solution to Accelerate Simulation, Emulation Execution

SAN JOSE, CALIF. –– September 24, 2019 –– Breker Verification Systems, the leading provider of Portable Stimulus Standard (PSS)-compliant software, today announced its PSS-based Test Suite Synthesis ...
Investopedia

Linear vs. Multiple Regression: What's the Difference?

Andriy Blokhin has 5+ years of professional experience in public accounting, personal investing, and as a senior auditor with Ernst & Young. Thomas J Catalano is a CFP and Registered Investment ...
Investopedia

Nonlinear vs. Linear Regression: Key Differences Explained

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...