Your English writing platform
Discover LudwigSuggestions(5)
Exact(6)
Model based inference approaches and the knowledge based inference approaches in fault diagnosis such as rule-based and case-based reasoning are described.
GLM will provide a satisfactory solution to model based inference if only relevant variables are included in the model and there is no deviation from the assumed distribution of response.
Firstly, to deal with the problem of missing detection, we introduce a set of random variables, namely routine variables, into the DBN model to describe the uncertainty in the path taken by the moving objects and propose the high-order spatio-temporal model based inference algorithm.
In the present case, model based inference was used to predict hospital blood use.
Representativeness of the resulting samples is evaluated by performing model based inference and computing the prediction errors [ 17].
This is defined as randomization and is carried out to ensure that systematic bias is minimized during the selection stage [ 1- 3] and that randomized rather than model based inference can be used for analysis.
Similar(53)
A basic assumption of model-based inference is that the random values of the population elements follow some specific model, e.g., a model based on auxiliary data derived from remote sensing.
This chapter introduces concepts of the superpopulation model, model-based inference, and model-design based (model-assisted) inferences.
Relying on model-based inference, we found that the abundance of salmon and temperature are major predictors of the tree growth index, with all other predictors consisting of salmon abundance and its interaction with temperature and distance into the forest.
Further, in case a probability sample has been selected, based upon which models are developed and applied, model-based inference and model-assisted estimation usually lead to similar total estimates.
Examples of the third category are: Model-based inference as the "sole" evidence of efficacy/safety, or based on simulated data for efficacy and safety (notwithstanding exceptional scenarios).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com