Sentences with phrase «fit the data well»

As a result, the model only fits the data well during a couple of decades of relatively high and falling interest rates.

Individual growth curve models were developed for multilevel analysis and specifically designed for exploring longitudinal data on individual changes over time.23 Using this approach, we applied the MIXED procedure in SAS (SAS Institute) to account for the random effects of repeated measurements.24 To specify the correct model for our individual growth curves, we compared a series of MIXED models by evaluating the difference in deviance between nested models.23 Both fixed quadratic and cubic MIXED models fit our data well, but we selected the fixed quadratic MIXED model because the addition of a cubic time term was not statistically significant based on a log - likelihood ratio test.

But in The Bonobo and the Atheist, primatologist Frans de Waal argues that there's another answer that fits the data better: morality comes from our evolutionary past as a social primate.

Whitehead admits that the theory «is far from proven,» but it «fits the data better than any other explanation.»

«The simplest of the models fits the data well,» says WMAP team member David Spergel at Princeton University, New Jersey, US.

Statistical significance is a matter of saying that your hypothesis fits the data better than some random idea different from your hypothesis.

It's very clear from the graph that the forecast from scenario c fits the data better than the other two forecasts; that the clearly counterfactual assumptions in scenario c produce a better fit (so far) suggests that scenarios a and b are untrustworthy guides to the future.

Is there any good reason why, if the model is correct, the counterfactual scenario c fits the data better than the scenarios a and b, or is it merely a short - term statistical fluke with no long - term importance?

Hay et al. find that the acceleration of sea - level rise since 1900 AD is larger than in previous reconstructions, but it has been generally questioned whether the quadratic acceleration (derived from a parabolic fit) is a useful number in cases where a parabola doesn't fit the data well (Rahmstorf and Vermeer 2011, Foster and Brown 2014).

So one would guess that a 3 - month lag would fit the data best in my case, and indeed it did.

The strong smoothing applied seems to make it relatively easy to find functions that fit the data well.

These probabilities will be quite small, even for the parameter values that fit the data best.

The paper suggests that asymmetric models fit the data better that symmetric models like the Hubbert curve.

I would have thought that on this basis it was completely uncontroversial to accept the unit root model as superior (without denying that it is quite appropriate to have a squabble about if it really does fit the data better, or how robust this result is — but this doesn't seem to be your point).

Specifically, while the model fit statistics indicated that a four - class or five - class solution fitted the data best (see table 1), the LMR - LRT test indicated that the five - class model was better than the four - class model and the entropy was slightly better (0.939 in the five - class model vs 0.929 the four - class model).

This model fits the data better than a model with no interactions between disorders and plans (an Akaike information criterion of 1041.9 for the model with interactions vs an Akaike information criterion of 1083.6 without interactions).

Afterward, confirmatory factor analyses using the 11 items of the PNS - J as indicators were performed to examine whether the two - factor model — 4 items loaded on the Desire for Structure factor and the other 7 items loaded on the Response to Lack of Structure factor — fits the data better than the one - factor model.

Confirmatory factor analyses showed that the two - factor model of the PNS - J fit the data better than the one - factor model, as shown in the studies that validated the original PNS Scale.

As shown in Table 2, the two - factor model (χ2 (43) = 75.77, p =.001, CFI =.922, TLI =.881, RMSEA =.056) fit the data better than the one - factor model (χ2 (44) = 108.09, p <.001, CFI =.848, TLI =.772, RMSEA =.077).

This model fit the data well, χ2 [df = 148, n = 1,630] = 238.903, CFI =.960, RMSEA =.019].

A model was considered to fit the data well if CFI was ≥ 0.90, TLI ≥ 0.90 and RMSEA ≤ 0.06 [9].

This model fit the data well with χ 2 = 63.79, df = 25, RMSEA = 0.07, CFI = 0.97, and SRMR = 0.04.

This model fit the data well with χ 2 = 1958.71, df = 1,195, RMSEA = 0.05, CFI = 0.91, and SRMR = 0.06, which represents a significant change in Chi square (∆ χ 2 = 379.69, 51 df) over the theorized model that did not contain the method factor.

This model served as the comparison point for all other analysis comparison, and it did not fit the data well (χ 2 = 5215.41, df = 1,274, RMSEA = 0.12, CFI = 0.89, and SRMR = 0.11).

This model fit the data better than our theorized model with χ 2 = 23.38, df = 21, RMSEA = 0.02, CFI = 0.99, and SRMR = 0.03 and is the model used to test our hypotheses.

This model did not fit the data well with χ 2 = 537.00, df = 28, RMSEA = 0.24, CFI = 0.55, and SRMR = 0.18.

The results revealed that Model 8 did not fit the data better than Model 4, Δχ2 (4) = 10.72, ns.

The second model did not fit the data well.

After applying model modifications in the same manner as above, the model (i.e., Model 8) fitted the data well.

When the test is significant, it means that the model with a new parameter (i.e., the largest model with most freely estimated parameters) fits the data better than the smaller and previously estimated model.

We compared one - and three - factor models for long - term mate preferences; the three - factor model fit the data better than a one - factor modeli (Table 2).

The model without correlated residuals did not fit the data well, χ2 (8) = 252.93, CFI =.49, RMSEA =.40.

The final model with relationship - general and relationship — specific correlations included fit the data well, χ2 (5) = 7.18, CFI =.99, RMSEA =.05.

The final model fit the data well, χ 2 (7) = 8.03, p > 0.05, CFI = 0.999, TLI = 0.998, RMSEA = 0.02.

A modified 9 - item version of the GMQ with the problem items removed fit the data well.

Based on previous studies (e.g., Marsh et al., 2013; Schellenberg et al., 2014), we expected the ESEM solution to fit the data better.

This measurement model fit the data well, χ2 (3, N = 119) = 3.41, p =.33, CFI =.99, and RMSEA =.03, and was used in the structural analysis for mediation.

Not exact matches

By analyzing data and employing A / B testing to decipher, for example, how its opening in Miami differed from its opening in Atlanta, the company quickly identified key indicators that a market was a good fit, namely cities with «significant population density, restaurant density... and a high percentage of independent restaurants,» says Zabusky.

«Our fit gets better as we grow because of the data we collect and what we learn from customer feedback,» Zak says.

A fit for the Marketing Data space, Pursway is changing the way companies use their own existing customer and prospect data to better target marketing messages / offData space, Pursway is changing the way companies use their own existing customer and prospect data to better target marketing messages / offdata to better target marketing messages / offers.

Well if you're not familiar with NFC tags, they hold some data and can be used to store anything from a site URL to Bitcoin Addresses to anything else that fits the provided space.

You don't have to gather lots of data, just find one person that fits your profile well, and learn as much as you can about them.

To determine which communities are a good fit for the initiative, Starbucks looks at all the available data on the socio - economic health of America's cities to understand which communities have the biggest opportunity gaps, which have the biggest need for business investment and leadership, and where there is local movement underway to build a better future for its residents.

«We use data to create automated scoring of leads to assess the likelihood of conversion and identify which product fits the prospect best,» Matt says.

And here's why: There's no free trial to test whether there's a good fit, and furthermore the company appears to offer less help documentation compared to others in the data analytics category.

Over the past year, DiscoverOrg has expanded its sales & marketing intelligence offerings to include a robust account - based marketing suite of tools aimed at helping customers identify and expand their audience of best fit prospects and prioritize them based on predictive data that indicates likelihood to purchase.

If anything changes with one of our supplier partners, and they begin to have issues in their data quality or customer service quality, we remove them from the network and add new sources which can become a better fit for you.

They will also assess how recent forecasts fit into our expectations for economic trends and policy changes and provide snapshots of the latest data as well as upcoming market events.

A different version had been proposed in 1588 by Tycho Brahe, and Tycho's system fit all the data, including the phases of Venus, just as well as the system of Copernicus.

On the other hand, these clearly are not alternative theories that may be decided among on the grounds of which one «best fits the data.»