Sentences with phrase «with statistical approaches»

Quality control is typically associated with statistical approaches.

To advance our understanding of contextual processes such as received social support and unsupportive interactions, it appears beneficial to use a research design that repeatedly assesses daily occurring events (e.g., stress, social support) and outcomes (i.e., negative and positive mood) over time, coupled with a statistical approach that permits the evaluation of within - person relations.

Not exact matches

This paper examines the day of the week effect in the crypto currency market using a variety of statistical techniques (average analysis, Student's t - test, ANOVA, the Kruskal - Wallis test, and regression analysis with dummy variables) as well as a trading simulation approach.

The two - hour discussion dealt with the statistical problems inherent in the two respective approaches.

His approach was very statistical and «data based», and Michael backed up his suggestions with hard numbers and specific organizations.

Compared with combination - fed infants, this enrichment approached statistical significance before correction for multiple comparisons.

Rubin - Delanchy — in collaboration with Nick Heard, reader in statistics at Imperial College London, and Carey Priebe, professor of statistics at The Johns Hopkins University — has developed a «linear algebraic» approach to network anomaly detection, in which nodes are embedded in a finite dimensional latent space, where common statistical, signal - processing and machine - learning methodologies are then available.

But she also claims there are a few potential problems with Coughlin and colleagues» study — particularly its statistical (rather than case by case) approach to analyzing Kepler data.

Barzilay used a statistical approach that compared Ugaritic with Hebrew, a known related language.

Sufficient information should be supplied to allow readers to judge whether any assumptions necessary for the validity of statistical approaches (e.g., data are normally distributed, survival data are consistent with proportional hazards in a Cox regression model) have been verified.

The new approach contrasts with previous ways scientists analyzed and came to conclusions about sea level rise because it is «the only proper one that aims to fully account for uncertainty using statistical methods,» noted Parnell, principal investigator of the study conducted collaboratively with researchers at Tufts University, Rutgers University and Nanyang Technological University.

«We analyzed much more data with many more diplodocid specimens than ever before, and we took a statistical approach to do it in a reproducible way.

This approach is used for determining the statistical self - affinity, or fractal nature, of a set of data, particularly relevant for data with long - memory characteristics.

To improve accuracy, some translation efforts, including SpeachGear's, are merging statistical approaches with rule - based systems.

«Our study shows how application of interdisciplinary statistical approaches, coupled with informed models of collective motion can help extract useful biological information about social interactions in schools of fish.

The new study combined a statistical approach implemented in a unique software modeling programme called IONONEST with data from the Kilpisjärvi Atmospheric and Imaging Receiver Array (KAIRA) radio telescope in Finland, which is capable of making sensitive broadband measurements of the absorption caused to the cosmic radio background by the ionsophere.

We also developed a statistical binning approach that improves multispecies coalescent analyses for handling gene trees with low phylogenetic signal to infer a species tree (SM5)(58).

«It's completely intractable with traditional approaches to statistical learning.»

A novel statistical approach to analyzing patients with epilepsy has revealed details about their brains» internal networks.

In collaboration with Stanford, the University of Southern California (USC), and the University of Alabama (UAB), the team used experimental, statistical, and visualization approaches to create the atlas.

Title: Combining efficacy and completion rates with no data imputation: a composite approach with greater sensitivity for the statistical evaluation of active comparisons in antipsychotic Trials Author: J. Rabinowitz et al..

Computational biology operates with a variety of tools on different levels of complexity, starting with very strict and algorithmic approaches like molecular simulations and finishing with statistical and heuristic techniques.

Our fundamental approach to interacting with the world — collecting reproducible large datasets, using state - of - the - art detectors, reconstructing remote phenomena, understanding the world through physical models, and employing sound statistical analyses of significance — are highly congruent with the modus operandi of earth scientists.

Our lab blends computation and theory in close collaboration with experimentalists and clinicians, developing machine learning approaches and statistical models of next - generation sequencing data.

MELGEN will explore emergent new techniques, for example the Sanger Institute (GRL) and ServiceXS will explore new approaches to genomic data generation from such samples and from fresh tumour and, critically, with other participant groups develop new statistical / bioinformatic approaches to data analysis.

With regard to median overall survival (OS), a secondary endpoint, T - VEC had a 4.4 - month advantage over GM - CSF (23.3 months vs 18.9 months [hazard ratio (HR), 0.79 (95 % CI, 0.62 — 1.00); P =.051]-RRB-; this approached but did not achieve statistical significance.

In addition, our statistical approach provides a measure of certainty for each prediction, in contrast with current palynology methods that are almost always based on expert opinion and devoid of statistical inference.

Applying sound business analysis to your thought process — in combination with statistical principles — can help you make sense of the data and tease out which approach maximizes your efforts.

Despite differences in statistical approach and in the selection of students to be included in the analysis, Barnard's findings are largely consistent with those we reported.

The initial lesson plan is for middle school math (graphing, statistical analysis, and measurement) but with Rimwe's approach training, it can be converted into a wonderful integrated lesson that includes technology and science and engineering.

It takes PEOPLE and genuine effort in approaching law makers and with genuine statistical data / proof.

(in general, whether for future projections or historical reconstructions or estimates of climate sensitivity, I tend to be sympathetic to arguments of more rather than less uncertainty because I feel like in general, models and statistical approaches are not exhaustive and it is «plausible» that additional factors could lead to either higher or lower estimates than seen with a single approach.

We probed the data using several statistical approaches and came up with the same result.

Getting past the insults and accusations and (ultimately useful) fights over statistical approaches to studying climate trends in regions (or eras) with sparse data, it's clear to me that this is an area where science will out, in the end.

Individual responses continue to be based on a range of methods: statistical, numerical models, comparison with previous rates of sea ice loss, composites of several approaches, estimates based on various non sea ice datasets and trends, and subjective information (the heuristic category).

A statistical forecast using a regression based approach with fall surface air temperature anomalies over the region as the main predictor was submitted by Tivy (Figure 4) for ice concentration anomalies in September.

A statistical forecast using a regression based approach with fall sea surface temperature anomalies in the North Atlantic as the main predictor was submitted by Tivy (Figure 3) for ice concentration anomalies in July in Hudson Bay.

Quality control of the data using a two - step semi-automatic statistical approach identified 3.5 % of observations that required correction or removal, on par with previous data rescue efforts.

I'm OK with Bayesian approaches as an adjunct to standard statistical analyses in scientific subject matter, but I'm at a loss to understand what general logicians or lawyers could usefully bring to the table.

Individual responses were based on a range of methods: statistical, numerical models, comparison with previous observations and rates of ice loss, and composites of several approaches.

The July 2010 Sea Ice Outlook Report is based on a synthesis of 17 individual pan-Arctic estimates using a wide range of methods: statistical, numerical models, comparison with observations and rates of ice loss, composites of several approaches.

Similarly, your logic of reducing the 30 - year to 17 - year as an advancement [«As 17 is shorter than 30, we are nearer the limit of determining salient conclusions pertaining + / - AGW, by now being able to approach answers to statistical problems possibly as much as 43 % sooner with some level of veracity.»]

The individual responses were based on a range of methods: statistical, numerical models, comparison with previous observations and rates of ice loss, or composites of several approaches; details can be found in the individual outlooks available at the bottom of this page.

As 17 is shorter than 30, we are nearer the limit of determining salient conclusions pertaining + / - AGW, by now being able to approach answers to statistical problems possibly as much as 43 % sooner with some level of veracity.

The individual responses were based on a range of methods: statistical, numerical models, comparison with previous observations and rates of ice loss, or composites of several approaches; details can be found in the individual outlooks available at the end of this report.

The Instituttuion uses two techniques to provide climate outlooks namely dynamical and statistical forecast approaches; with the latter being derived from WMO Global Producing Centers amongst others.

A heuristic and statistical method involves using a trial and error approach to solve a problem in conjunction with statistical analysis of real data.

So by analogy with Kolmogorov what is the problem of the statistical approach to climatology which is the only one possible as I have developped it above with the T = Ta + u model?

Another approach would be to comment at Jeff Id's «the Air Vent,» a lower - traffic blog where the host is a layperson with statistical training who is engaged in understanding dendro's contributions to paleoclimate reconstructions.

There IS a heat source and a physical reality, that requires no forcing to give it super powers as with puny CO2 the palnts gobble up as much as they can get of, in fact.And explains the stable ice age and the Milankovitch linked interglacials, and how that sawtooth between repeated and predicatble limits can be driven using known energy sources, specific heats and masses, plus simple deterministic physics, no statistical models or Piltdown Mann data set approaches.