model using binomial distribution

USAGE SUMMARY

The phrase "model using binomial distribution" is correct and usable in written English.
You can use it in contexts related to statistics, probability, or data analysis when discussing how to represent or analyze data that follows a binomial distribution. Example: "In our research, we will model using binomial distribution to predict the likelihood of success in our experiments."

✓ Grammatically correct

Science

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

Aside from these, and unless otherwise noted, P values for tests of proportions were modeled using binomial distributions.

Plosone

For the studies estimating Se and Sp compared to a reference standard, at the lower level the cell counts in the 2 x 2 tables extracted from each study were modelled using binomial distributions (Macaskill 2010).

Cochrane Database of Systematic Reviews

Crude or unadjusted and adjusted relative risks (RRs) with 95% confidence intervals were estimated from the univariate and multivariate GEE models respectively using binomial distribution with log link function [ 34].

BMC Family Practice

Two other approaches: Maq (Li,H. et al., 2008) and SOAPSNP (Li,R. et al., 2008) have proposed using Binomial distributions to model genotypes; however, these were developed in the context of sequencing normal genomes, not cancer genomes.

Bioinformatics

Model glm.nb1* (eq.1) had an AIC of 554, while the model using negative binomial distribution including gender had an AIC of 485 (model glm.nb3, eq.4).

BMC Public Health

The regression model was a generalised linear mixed model using a binomial distribution with a random intercept for each participant to control for repeated results from the same participant.

BMJ Open

Coral abundances were modelled using negative binomial distribution, as a number of coral colonies was recorded each year in an additive fashion.

Nature

The observed presence/absence data from the nine pinches in each quadrat were modelled using a binomial distribution with probability Py,s,q and number of samples n = 9.

Nature

Generalised linear models using a binomial distribution and logit link were used to analyse the stem and foliar pathogen recovery data, which were recorded as binary responses.

New Zealand Journal of Forestry Science

Table 1 shows the results of the best adjusted generalized models, the GLM models using negative binomial distribution: glm.nb1 and glm.nb2, and GAM gam1.

BMC Public Health

Model selection among candidate regression models using negative binomial distribution predicting the frequency of SNPs, transitions, and transversions in contigs (depth of 10 reads or more; length of 501 bp or longer), using Akaike's Information Criteria (AIC).

BMC Genomics

Expert writing Tips

Best practice

When describing statistical analyses, be specific about the parameters and assumptions of the binomial distribution used in your model. For example, clarify the number of trials and the probability of success.

Common error

Avoid using the binomial distribution when the trials are not independent or when the probability of success varies across trials. Ensure that the data meets the criteria for a valid binomial model.

Linguistic Context

The phrase "model using binomial distribution" functions as a verbal phrase specifying the method by which a statistical model is constructed. The phrase highlights the application of the binomial distribution in the modeling process. Ludwig AI indicates that this phrase is grammatically correct and usable in written English.

Expression frequency: Missing

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Ludwig's WRAP-UP

In summary, "model using binomial distribution" is a grammatically correct phrase used to describe the application of a binomial distribution in statistical modeling. Ludwig AI confirms its validity, although its frequency appears to be rare given the lack of direct matches in the provided data. It is most commonly found in formal and scientific contexts. Related phrases include "use binomial distribution for modeling" and "apply binomial distribution in modeling". When using this phrase, ensure that the assumptions of the binomial distribution are met to avoid misinterpretations. Be specific with parameters and avoid using when trials are not independent.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

use binomial distribution for modeling

Reorders the phrase while maintaining the core meaning, emphasizing the action of using the distribution.

apply binomial distribution in modeling

Replaces "use" with "apply", suggesting a more direct application of the distribution.

employ binomial distribution to model

Uses "employ" as a more formal synonym for "use", suitable for academic or technical writing.

model with binomial distribution

Shortens the phrase, making it more concise while preserving the meaning.

utilize binomial distribution for modeling

Substitutes "utilize" for "use", adding a slightly more technical tone.

implement binomial distribution in the model

Focuses on the implementation aspect within a model, emphasizing the integration of the distribution.

construct a model based on binomial distribution

Shifts the focus to constructing the model with the distribution as a foundation.

develop a model using binomial distribution

Highlights the development aspect of creating a model that incorporates the binomial distribution.

estimate the model with binomial distribution

Suggests the use of binomial distribution in estimating the parameters of the model.

formulate a model employing binomial distribution

Uses "formulate" to suggest a structured and methodical approach to modeling with the binomial distribution.

FAQs

How can I effectively "model using binomial distribution" in my research?

To effectively "model using binomial distribution", ensure your data meets the binomial distribution's assumptions: fixed number of trials, independent trials, only two outcomes (success or failure), and constant probability of success. Then, use statistical software or programming languages to implement the model and analyze the results.

What are some alternatives to saying "model using binomial distribution"?

You can use alternatives like "use binomial distribution for modeling", "apply binomial distribution in modeling", or "employ binomial distribution to model", depending on the context and formality of your writing.

When is it appropriate to "model using binomial distribution" versus other distributions?

It's appropriate to "model using binomial distribution" when you're dealing with a fixed number of independent trials, each having only two possible outcomes (success or failure). If the trials are not independent or the number of trials is not fixed, other distributions like Poisson or negative binomial might be more suitable.

What are the key parameters to consider when I "model using binomial distribution"?

The key parameters to consider when you "model using binomial distribution" are 'n' (the number of trials) and 'p' (the probability of success on a single trial). These parameters define the shape and characteristics of the binomial distribution and are crucial for accurate modeling and inference.