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Algorithm captures nonlinear climate dynamics to optimize air-conditioning energy use

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
JSTOR Daily

Expert, Linear Models, and Nonlinear Models of Expert Decision Making in Bankruptcy Prediction: A Lens Model Analysis

Choong Nyoung Kim and Raymond McLeod, Jr. Analysis of human judgment and decision making provides useful methodologies for examining the human decision process and substantive results. One such ...

Using Nonlinear Branching Conversations In AI-Enabled Mental Health Chats

A relatively new feature of generative AI is the ability to invoke nonlinear conversations. It has ups and downs in mental ...
JSTOR Daily

Forecasting prices of dairy commodities – a comparison of linear and nonlinear models

This is a preview. Log in through your library . Abstract Dairy commodity prices have become more volatile over the last 10–11 yr. The aim of this paper was to produce reliable price forecasts for the ...
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Generalized Linear Models and Categorical Data Analysis in R

Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete ...
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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 ...