Questions tagged [model]
A formalization of relationships between stochastically (randomly) related variables in the form of mathematical equations. DO NOT USE THIS TAG BY ITSELF: always include a more specific one.
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swapping DV and IV in the presence of an interaction
I'm hoping someone could help with a problem that I'm sure has a simple explanation. I have conducted a visual test on 2 groups of people 1) healthy controls 2) patients (with a vision problem) using ...
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Model suggestion to predict a ratio
I have a project where I have a data on companies (one variable being their number of clients and if they have a had a compliance issue.) Im trying to build a model to find a ratio of employees to ...
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Multivariable analysis for an ordinal dependent variable
I am investigating the factors associated with self-perception of oral health. My dependent variable is self-perception of oral health, which is an ordinal variable measured on a 5-point Likert scale. ...
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Significance of factors/regressors on compositional data
Let's assume that I have composite data, similar to the "ArcticLake" example dataset in the DirichletReg package in R. Now, I would like to know whether various numeric variables and factors ...
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Adjustment in DLNM - case control setting
I have data in a case-control format with a 5-year lag of exposure. I want to adjust, in addition to the strata, for the number of monitoring stations used to calculate the exposure. The problem is ...
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Interpretation of Poisson regression model (outcome variable - dietary diversity)
I would like to get some insights on how to interpret the Poisson model using the results shown in the picture.
This is how I interpreted it: For every one unit increase in the number of cooked food ...
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Multivariate Analysis for Personal Hygiene Product Survey
I conducted a survey involving 5 different personal hygiene products. Each product had 6 different brands, and participants were asked to select one or more brands they preferred for each product. In ...
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the Detailed Architecture of EfficientNetV2-B2
I'm currently studying different neural network architectures and I'm particularly interested in EfficientNetV2-B2. I understand that this model is an improved version of the original EfficientNet, ...
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How to model pixel shot noise
I'm interested in modelling the effect of shot noise on images. When taking a picture with a camera, the number of photons incident upon each pixel during the exposure time is (I believe) a ...
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how to measure significance of improvement between two methods during modeling
Hello everyone I have two methods for developing models. I use a set of input features (set1) for training model1 and another set of input features which have (set1 features + extra set2 features). I ...
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How to convert residual predictions back to original unit in a multiple regression model
I am trying to use a multiple-linear regression model based on observed air temperature (ta) and precipitation (pr) time series ...
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Adjusted R^2 or Lack of Fit
This might be a basic question, but I'll still ask, as I haven't found any proper conclusions from the forums.
I'm fitting my data using the Response Surface methodology. So, ideally, the relation ...
Ksenia
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How to improve probability distribution fitting
I am trying to fit a distribution to daily percentage returns, and have got the following, where the p-val is low, suggesting it was not normally distributed. However, it's not perfect, and I try to ...
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When authors write "model of the data" is this a shorthand for "model of the data generating process" [duplicate]
Some authors, such as Barber in Bayesian Reasoning and Machine Learning and Rasmussen & Williams in Gaussian Processes for Machine Learning, write phrases such as "model of the data" and ...
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Can I model the interaction between a continuous variable and two factors separately for each factor?
I'm wondering if I can model the effect of the interaction between a continuous variable and two factors in a model without including the three-way interaction between the two factors. Let's imagine I ...
