Sentences with phrase «regression method»

These missing data were estimated using regression methods for clients with baseline data.

These assumptions can also be checked using the training and calibration periods, and often more complicated regression methods can be used to adjust for particular features in the data that violate the assumptions.

Because poverty predicts risk for school adjustment problems, low achievement, crime, and other problem behaviors, the effects of the full intervention on children from poor families were investigated using logistic and linear regression methods as appropriate, with terms for intervention and free lunch eligibility as main effects and an interaction term for intervention by participation in the free lunch program.

In contrast, we show that simple regression methods used by several existing papers generally exaggerate positive feedbacks and even show positive feedbacks when actual feedbacks are negative.

Irrespective of the data quality, the simple regression method of [Shaviv and Veizer, 2003] is unsuitable to estimate the climate sensitivity to a CO2 doubling.

If we assume a uniform prior distribution in S (and stay with the OLS regression method), what is the set E of error distributions such that for any D member of E, one could modify the statement of yours I quoted above to state:

Combined the multiple regression method and optimal climate normal method, we derived the sea ice extent of September this year is 5.37 million square kilometers.

Bioinformatic approaches to the analysis of genetic variability and complex genotype - phenotype relationships will moreover include gene sequence and database analyses, measures of association of haplotypes / genotypes with phenotype, clustering procedures, neuronal networks, fuzzy and other techniques in pattern recognition, similarity measures for discrete patterns (e.g., gene sequences, structures, functions), logistic regression methods, and a spectrum of other techniques.

Sliding window analysis (Bivariate Pearson correlation and Granger causality) and time varying parameter regression method (Flexible Least Squares) are two dynamic analysis strategies for time - variant connectivity analysis in the DynamicBC.

Quantile regression methods allow us to identify the earnings levels of workers who change their work effort.

This is addressed in almost half of the discussion papers — Tingley in particular gives strong evidence that Lasso is not in fact a very suitable method, and is outperformed by his Composite Regression method in test cases, Kaplan points out that using noise with significant long term trends will also perform well in interpolation.

We in fact first tried to estimate ECS from the data in Figure 1a in the way described above, based on regression lines estimated by a robust regression method.

However, this should be computed by something like RomanM's PlanB regression method, rather than by subtracting out the means for unrelated periods as Steig suggests would be done.

When assumptions that underlie a particular regression method are inappropriate for the data, errors in estimated statistics result....

I wonder what your opinion is of the obvious variance loss caused by your EIV and CPS style regression methods?

These approaches include alternatives to ordinary regression methods such as inverse regression and total least - squares regression (Hegerl 2006) that are not subject to attenuation.

We undertook multiple imputation (MI) of predictor variables to assess the sensitivity of results to missing data using the chained regression method of MI to generate five imputed data sets.

Two approaches to data analysis (generalised estimating equation regression methods and latent variable structural equation modelling) were used to examine possible explanations of the intergenerational continuity in behaviour.

The only claim we make is — given the data and regression method used by S09 — that the answer is different when the method by which the data are combined is properly employed.

Leading experts in the field will discuss the most relevant application areas, including object detection, structured prediction, large - scale classification and hardware acceleration, video, multi-modal and multi-task learning, and regression methods for localization.

Projecting the changes in the Westminster vote intention on to seats with the regression method (final two columns) suggests the Conservatives will emerge (for the first time in a long time) with a substantial lead in both votes and seats.

Moving averages make the data strongly autocorrelated even if it wasn't already, violating the assumptions of just about every regression method (even invalidating the Gauss - Markov theorem).

Using a linear regression method, you could construct a trend line over this period, implying a «long term» trend during which heat increased by ca. 8 degrees centigrade.

The reason for choosing the pre-satellite era is that the satellite era in S09 is entirely AVHRR data, and is thus not dependent on the regression method.

The authors avoid over-fitting by using a partial least squares (PLS) regression method.

They then reconstructed the Northern Hemisphere average temperature using both regression methods and the related Mann et al. method and found that in both cases the variance of the reconstruction was attenuated relative to the «true» temperature time series with the attenuation increasing as the noise variance was increased.

From a sample of completely observed pairs, the regression methods outlined above give unbiased estimates of the intercept and slope in that linear function.