Penalized regression methodsLatent variables methodsTree-based ensembles methodsManufacturing 4.0Big dataIn the big data and Manufacturing 4.0 era, there is a growing interest in using advanced analytical platforms to develop predictive modeling approaches that take advantage of the wealthy of data ...
Which regression model would you choose to model the following flood damage data? The variables are x1=water height, x2=dike height and x3=flood damage. The following plot shows how the flood damages depend on the water height, the zcolor is the overtopping of the water (x1-x2). You ...
The study examined the correlation between accumulated training load parameters based on periods with maturity (i.e., maturity offset and peak height velocity -PHV- and wellness variables -e.g., stress and sleep quality-). The second aim was to analyze the multi-linear regression between the ...
Demand-side response Time-of-use tariffs Economic preferences Environmental attitudes Climate policy support Smart energy technologies 1. Introduction Within the past decade, Germany has witnessed a significant increase in its installed renewable energy production capacity, more than tripling it. Specifically...
The terms independent variables, covariates, confounding variables, and confounding by indication are often imprecisely used in the context of regression. Independent variables are the full set of variables whose influence on the outcome is studied. Covariates are the independent variables that are inclu...
also adds support for a config file passed via command line switches/ environment variables. Version3.0 - support for DNS resolving through proxy supports SOCKS4, SOCKS5 and HTTP CONNECT proxy servers. Authtypes: socks - "user/pass" , http - "basic". Whento use it ? 1 When the ...
We are also planning to create a website where you can easily browse through all of the projects. Any contributions are highly appreciated. 🙏 You can contribute in two ways: create an issue and tell us your idea 💡. Make sure that you use thenew idealabel in this case; ...
2. Can I have 2 proportions for both independent and dependent variables in my regression model? Thanks in advance! Reply Karen says July 1, 2013 at 3:58 pm Hi Ally, First, the proportion IV isn’t a problem. It’s that IV. There are a few different ways to approach it, includ...
In a multivariate logistic regression examining asymptomatic kidney stone predictors, body mass index (BMI) (odds ratio [OR] 1144; 95% confidence interval [CI] 1038-1260; p=0.0007) and urine pH (OR 0.608; 95% CI 0.407-0.910; p=0.0016) emerged as independent factors associated with ...
Gender was included as a dummy regressor in the study. 6 Primary regressor The main variable of interest in a regression analysis. The primary regressor in their model was the rate of inflation. 6 Predictive regressor A variable used to predict the values of other variables. Previous purchases ...