significance of fitting

USAGE SUMMARY

The phrase "significance of fitting" is correct and usable in written English.
It can be used when discussing the importance or relevance of something being appropriate or suitable in a particular context. Example: "The significance of fitting the right components in a machine cannot be overstated, as it directly affects its performance."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

Confidence limits and significance of fitting parameters are given in Table 5.

Chemistry Central Journal

The significance of fitting was checked using the square coefficient of correlation (R 2), which was 0.93 (p = 0.0198).

International Journal of Industrial Chemistry

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

Likelihood ratio tests were used to assess the significance of fitted models and trends.

British Journal of Cancer

The p-value of log partial ratio test was evaluated to assess the significance of fitted models.

BMC Health Services Research

All of the developed forecasting model alternatives demonstrated strong statistical power, significance of fit, met the generalisation statistical criteria, and were cross-validated utilising an independent validation data set.

Resources, Conservation and Recycling

We used goodness-of-fit tests based on the sum of squared deviations (SSD) and raggedness index (Rag) to test the significance of fit of distribution.

BMC Evolutionary Biology

p: significance of fit (observed vs. expected distributions); Tau: scaled time elapsed since the expansion; θ0: theta of the population before expansion; θ1: theta of the population after expansion; 90% confidence intervals are given in brackets.

BMC Evolutionary Biology

To assess the significance of fit of each model to the data, we used the recommended LRTs in CodeML (Yang, 2007) for comparing nested models (see Supplemental Folder 2).

Cell Reports

The phi coefficient was determined for each cut-off and this Φ was evaluated for significance of fit using the chi-square test as well as standard rules for effect size [ 26- 28].

BMC Pregnancy and Childbirth

The paper also presents ways to determine the accuracy and the significance of model fitting for both methodologies described herein.

Bioresource Technology

Walker et al. indicated the significance of proximally fitting and considered that a femoral stem below the zero level was not essential for lateral flare cementless anatomical stems [ 44].

BioMed Research International

Expert writing Tips

Best practice

When discussing statistical models, clarify whether you are referring to statistical significance or practical significance of the model fit. Use precise language to avoid ambiguity.

Common error

Avoid assuming that a statistically significant fit automatically implies practical importance. A model may be statistically significant due to a large sample size, but the effect size might be too small to be meaningful in a real-world context.

Linguistic Context

The phrase "significance of fitting" functions as a noun phrase. It generally refers to the statistical or practical importance of how well a model, parameter, or other element aligns with observed data. As Ludwig AI explains, this phrase is appropriate for use in English, particularly in scientific contexts.

Expression frequency: Rare

Frequent in

Science

100%

News & Media

0%

Formal & Business

0%

Less common in

Science

0%

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

In summary, the phrase "significance of fitting" refers to the importance or relevance of achieving a good fit, especially in statistical models. Ludwig AI confirms the phrase is grammatically correct. Its usage is primarily within formal scientific contexts. Related phrases include "importance of the fit" and "relevance of the model fit". When using this phrase, it's crucial to differentiate between statistical and practical significance and to avoid assuming that statistical significance automatically translates to real-world importance.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

importance of the fit

Changes "significance" to "importance", emphasizing the relevance rather than statistical validity.

relevance of the model fit

Substitutes "significance" with "relevance" and adds "model" to clarify the context.

statistical importance of fitting

Adds "statistical" to explicitly highlight the statistical relevance.

value of the fit

Replaces "significance" with "value", focusing on the worth or merit of the fit.

impact of the fit

Uses "impact" instead of "significance" to denote the effect or influence of the fitting process.

meaning of the fit

Emphasizes the interpretation or understanding derived from the fitting.

statistical validity of the fit

Focuses specifically on the statistical correctness and soundness of the fitting.

the role of fitting

Highlights the function or part that the fitting plays in a larger process.

consequence of the fit

Focuses on the results or outcomes of the fitting process.

benefit of fitting

Highlights the advantages or positive aspects resulting from the fitting.

FAQs

How can I assess the "significance of fitting" in a statistical model?

You can assess the "significance of fitting" by examining p-values, confidence intervals, and goodness-of-fit statistics. These measures help determine whether the model adequately represents the data.

What does it mean for a model to have a high "significance of fitting"?

A high "significance of fitting" suggests that the model explains a substantial portion of the variance in the data and that the relationships between variables are unlikely to be due to chance.

Which statistical tests are commonly used to evaluate the "significance of fitting"?

Common tests include Chi-square tests, likelihood ratio tests, and ANOVA. These tests compare the observed data to the values predicted by the model to assess the /s/goodness+of+fit.

How does the sample size affect the assessment of the "significance of fitting"?

With large sample sizes, even small deviations from the null hypothesis can result in statistically significant results. Therefore, it's crucial to consider effect sizes and practical implications, not just /s/statistical+significance.