Sentences with phrase «statistical analysis approaches»

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.

By analyzing the relationships between these variables, using a statistical approach known as a regression analysis, they identified striking patterns that held across primate taxa.

But pharmacometrics — the modeling and statistical analysis of drug metabolism data — touts a more tailored, predictive approach to safety and efficacy.

I was puzzled by the idea that the machine - learning approach to artificial intelligence based on statistical analysis of big data...

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).

The new estimate of mortality from windows, based on statistical analysis of 23 local studies, comes close to an old estimate (100 million to 1 billion) that had been derided for its simple, back - of - the - envelope approach.

The new directive assumes that agencies will take a similarly cautious approach when they undertake statistical analyses of their existing records.

Statistical approaches to paternity analysis in natural populations and applications to the North Atlantic humpback whale.

Dr Louella Vasquez (PhD Physics, WTSI Postdoctoral Fellow) is responsible for the statistical analyses and development of new modeling approaches.

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.

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.

Current approaches often use static representations of phylogenetic, epidemiological, statistical and evolutionary analysis results that are difficult to relate to one another.

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.

In simplest terms, the statistical procedure of the Coleman Report relies on a problematic stepwise analysis of variance approach, which makes strong assumptions about which factors are fundamental causes of achievement and which are of secondary significance.

The Times used a statistical approach known as value - added analysis, which rates teachers based on their students» progress on standardized tests from year to year.

The Times analysis relied on a statistical approach known as «value - added,» which estimates the effectiveness of teachers by crediting them for the gains students make over their performance in previous years on standardized tests in math and English.

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.

This year we are pleased to present the Nan Tobler Award for Review of the Prevention Science Literature to Dr. David MacKinnon, Foundation Professor, Arizona State University for his body of work in statistical approaches to mediation analysis.

APA has expertise in a wide range of approaches that we leverage in conducting our work, including: data analysis, cost modeling, statistical modeling, surveys, interviews, focus groups, facilitation, and literature reviews.

An approach to analysis of futures markets which examines patterns of price change, rates of change, and changes in volume of trading, open interest and other statistical indicators.

** Instead, I think the better approach is to keep in mind that the live release rate is merely one measure of a shelter's success, and that we can and should consider additional factors that do not fit easily into a statistical analysis.

Update 16 January 2013: As hinted at in the discussion, at the time this was published we had already performed an analysis of worldwide temperature records which confirms that our simple statistical approach works well.

Bayesian inference which is now a paradigm in its usage and importance in modern science does have advantages over the frequentist statistical philosophy: it has a more unified approach to data analysis, it incorporates prior professi0nal opinion / external empirical evidence, into results through pi the prior distribution.

The new study takes a top - down approach, measuring what is actually present in the atmosphere and then using meteorological data and statistical analysis to trace it back to regional sources.

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.

We welcome the additional review of anonymous journal referees (and indeed, agree that this is still an important gateway to ensure that all papers have a minimum of reviews)-- but we feel that our work should be judged primarily on the statistical approach used and the transparency of our analysis — not on the fact that we have been published in a peer reviewed journal.

First, the pooled meta - analysis under the presence of heterogeneity in the study can lead to reduced statistical power of our meta - analysis approach even though the rank - based p values enable the meta - analysis using the pooled samples.

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

If that summary is correct, I would think, that to continue these analyses in a meaningful way and assuming that the details of the more recent RCS algorithms will not be forthcoming, why not use a consensus (amongst our statistical minded participants here) best approach growth algorithm and see what kind of Yamal series results and how well it performs through sensitivity testing.

All too often, machine learning and statistical analysis has been misused as part of a data - only approach.

Conference topics of emphasis will include dynamics, high performance computing, numerical analysis, cloud systems behavior, data assimilation, dimension reduction, uncertainty quantification, model hierarchy, and statistical approaches.

There is a great deal of uncertainty and ambiguity in this «statistical correlation» based analysis approach.

Our approach is anchored in statistical analysis of time - series datasets using models of growth and diffusion, particularly Lotka - Volterra dynamical systems.

Eventually, M&M found massive flaws with Mann's statistical approach, flaws that have since been confirmed by many experts, such that there are few people today that treat Mann's analysis seriously (At best, his supporters defend his work with a mantra roughly akin to «fake but accurate.»

As detailed in the data analyses section, statistical approaches were used to control for familial correlations between subjects resulting from the inclusion of siblings in the sample.

This approach is challenging to implement; however, because statistical power is rarely sufficient to support subgroup analyses unless the research is specifically designed to permit them.

She has technical expertise in a wide range of statistical techniques used in the social sciences, including structural equation modeling, confirmatory factor analysis and MIMIC approaches to measurement, path modeling, regression analysis (e.g., linear, logistic, Poisson), latent class analysis, hierarchical linear models (including growth curve modeling), latent transition analysis, mixture modeling, item response theory, as well as more commonly used techniques drawing from classical test theory (e.g., reliability analysis through Cronbach's alpha, exploratory factor analysis, uni - and multivariate regression, correlation, ANOVA, etc).

Traditional multivariate statistical analyses were complemented by a relationship - based approach utilizing latent class analysis.