model with binomial

USAGE SUMMARY

The phrase "model with binomial" is correct and usable in written English.
It can be used in contexts related to statistics, mathematics, or data analysis where a binomial model is being discussed or applied. Example: "In our analysis, we will use a model with binomial distribution to predict the outcomes of the experiment."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

35 human-written examples

The influence of the explanatory variables on whether the applicant won the concession unit or not was examined using logistic regression model, with binomial errors and logit link function.

Plosone

To investigate the effect of climate and human population variables on Ae. albopictus egg presence, we performed model building with multiple logistic regressions (Generalized linear model with binomial distribution and logit link).

Plosone

Differences in population prevalence between species were tested with a logistic regression model with binomial error structure applying the GENMOD procedure in SAS/enterprise while estimating the scaling parameter by the square root of DEVIANCE/DOF.

Plosone

Occurrences of matings in Experiment 3 were analyzed using a mixed model (with binomial error and logit link function), with Treatment (3 treatment levels) as an explanatory variable (fixed effect) and family as a random effect to allow for the fact that more than one female per family was tested in this experiment.

Plosone

In all three cases we used a generalised linear model with binomial errors.

BMC Ecology

This is a generalized linear model with binomial distribution family and identity link function [ 32].

BMC Public Health

Human-verified similar examples from authoritative sources

Similar Expressions

25 human-written examples

Following the rules for modelling with binomial errors (according to [34]), we used the cbind function, and we bound together the two above-mentioned vectors of the response variable into a single object y.

Energy, Sustainability and Society

Nestling mortality and recruitment (binary responses) were analysed using generalized linear mixed models with binomial errors and logit link.

Plosone

Survival till maturity and offspring sex ratio were analysed by generalized mixed models with binomial error structure and a logit-link, controlled for potential overdispersion by modelling residuals as R-side random effects.

Plosone

To examine if test compounds had a significant effect on midgut infection rates, generalised linear models with binomial errors were used on the proportion of flies infected, with the effects of replicates taken into account by entering replicate into the model first.

Plosone

Relative rates were estimated by using generalized linear models with binomial family and log link.

BMC Musculoskeletal Disorders

Expert writing Tips

Best practice

When discussing statistical analysis, be precise about whether you are referring to a "model with binomial distribution" or a broader "generalized linear model with binomial errors". This clarity ensures accurate communication of your methodology.

Common error

Avoid using "model with binomial" as a catch-all term for any model dealing with binary data. Ensure the model actually adheres to the assumptions and structure of a binomial distribution before using this phrase.

Linguistic Context

The phrase "model with binomial" functions as a noun phrase specifying the type of statistical model employed. It indicates that the model incorporates a binomial distribution or binomial errors in its structure. Ludwig AI confirms its correctness and usability in various contexts.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

The phrase "model with binomial" is a technically sound and usable term, primarily found within scientific literature to denote statistical models employing binomial distributions. Ludwig AI validates this. While grammatically correct and well-understood in its context, alternative phrases like "binomial model" or "model using binomial distribution" may provide more clarity or conciseness. Remember to use the phrase precisely to avoid overgeneralization, and consider the audience when deciding on the level of detail required in describing the model.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

binomial model

Omits "with", creating a more concise phrase.

model using binomial distribution

Specifies the type of distribution used in the model.

model with binomial distribution

Explicitly states that the model incorporates a binomial distribution.

binomial regression model

Focuses on the regression aspect of the model when using a binomial distribution.

generalized linear model with binomial errors

Describes a broader class of models that includes the binomial model as a special case.

statistical model with binomial component

Highlights that binomial distribution is a component in a larger model.

model assuming binomial variance

Specifies the assumption about the variance in the model.

hidden Markov model with binomial emissions

Refers to a specific type of model using binomial properties.

model based on binomial distribution

Emphasizes that the model is constructed upon binomial distribution.

binary outcome model

Simplifies the phrase by focusing on the binary nature of the outcome, inherent in binomial models.

FAQs

How do I correctly use "model with binomial" in a sentence?

Use "model with binomial" when you're describing a statistical model that incorporates a binomial distribution to analyze binary outcomes. For instance, "We used a regression "model with binomial distribution" to predict the probability of success".

What are some alternatives to "model with binomial"?

Depending on the context, you can use alternatives such as "binomial model", "generalized linear model with binomial errors", or "model using binomial distribution".

Is it more accurate to say "model with binomial distribution" or "binomial model"?

Both phrases are generally acceptable, but "binomial model" is more concise. "Model with binomial distribution" is more explicit and can be preferred when clarity is crucial.

In what situations would I use a "model with binomial" distribution?

A "model with binomial" distribution is appropriate when you're analyzing data where the outcome is binary (success/failure, yes/no) and you want to model the probability of one of those outcomes occurring. This is commonly used in logistic regression and other similar statistical techniques.