Sentences with phrase «using subjective methods»

Not exact matches

Depending on the scope and purpose of the research, happiness is often measured using objective indicators (data on crime, income, civic engagement and health) and subjective methods, such as asking people how frequently they experience positive and negative emotions.
In our online course, you'll learn some qualitative, or subjective, methods for valuing companies, as well as the most frequently used quantitative, or objective models.
Cowan and colleagues Debra Inglis and Carol Miles evaluated three biodegradable plastic mulch products using subjective visual assessments of deterioration during the cropping season and a photographic method to monitor deterioration after the mulches were incorporated into the soil.
Current methods of assessing performance - based tasks are impractical, outdated or subjective (self report), and fail to include use of everyday technology.
Rothstein also argued in favor of using seniority to handle layoffs, which he says is a less costly, subjective, and controversial method than using annual performance evaluations.
However, as compared to using a moving average to decide the market context when trading candlesticks, the Sakata methods are more subjective and need discretion to identify the chart formations (like the triple tops / bottoms) that work.
Although «good» is a subjective term, we can clarify positives and negatives related to using debt consolidation as a method for debt management.
It's not subjective if you ask some basic questions based on simple good - practice design rules and things like that (rules that have been established for a long time now), such as «Is using this method to do this more intuitive, fun, responsive, reliable, and accurate than this method
I propose a different method of hypothesis testing that is independent of subjective opinions and uses only hard data — regression analysis using analytic geometry and matrix algebra.
I'm not so hostile to subjective Bayesian methods if used in a specific manner that actually helps make Nic's points concrete and clear to decision makers.
I think it is impossible to maintain this distinction between a physical random process and «ignorance», which you don't seem willing to represent using probability (even though that's central to all Bayesian methods, subjective or not).
I test both subjective and objective Bayesian methods, using for calendar age respectively a uniform prior and Jeffreys» prior.
But your statement: «Given that, it's easy to see why a subjective Bayesian method will usually NOT produce perfect probability matching when averaging over a distribution for true parameter values that is different from the prior it uses» reveals a major problem.
Another presenter at the session, Paul Chang, a project scientist who studies satellite ocean surface wind data at the National Oceanic and Atmospheric Administration's Center for Weather and Climate Prediction in College Park, Md., said that the current method that is largely used by U.S. scientists in this area of research, known as the Dvorak technique, employs satellite imagery to estimate tropical cyclone intensity but is imprecise and subjective.
Demonstrating that Bayesian inference using Jeffreys prior and inference using likelihood ratios gives exact probability matching and hence accurate CIs, whereas subjective Bayesian methods don't except in a special, unrealistic, case, shakes them up a bit and hopefully makes them think again.
In the case of climate sensitivity, I have been arguing for a long time that Bayesian methods are only appropriate if one takes an objective approach, using a noninformative prior, rather than a subjective approach (using, typically, a uniform or expert prior).
OK, using my simplistic analytical framework as the documentation method; and taking a somewhat subjective look at your own prediction and at how it is being generated, let's identify your prediction as being «0.3 C fall in GMT by 2100» as carried within the Beta Blocker Analysis Framework.
(2) thou shalt not fudge the data (3) thou shalt not invent arbitrary statistical methods to suit thy data (4) thou shalt not indulge in any form of bias e.g. thou shalt not employ incomplete, highly selective, subjective literature reviews (6) in the interests of transparency and replication thou shalt not hide the data or code (7) thou shalt not make vague or exaggerated statements unsupported by evidence (8) thou shalt not tolerate actual or potential conflicts of interest (9) thou shalt not allow political interference to compromise scientific integrity (10) thou shalt not use unvalidated computer models (11) Thy university shall insulate undergraduate fees from research expenses and require research to be self supporting independent of the teaching.
(2) thou shalt not fudge the data (3) thou shalt not invent arbitrary statistical methods to suit thy data (4) thou shalt not indulge in any form of bias e.g. thou shalt not employ incomplete, highly selective, subjective literature reviews (5) thou shalt not exaggerate (6) in the interests of transparency and replication thou shalt not hide the data or code (7) thou shalt not make vague statements unsupported by evidence (8) thou shalt not tolerate actual or potential conflicts of interest (9) thou shalt not allow political interference to compromise scientific integrity (10) thou shalt not use unvalidated computer models
An expert witness «must provide reasons for rejecting alternative hypotheses «using scientific methods and procedures» and the elimination of those hypotheses must be founded on more than «subjective beliefs or unsupported speculation,»» Clausen v. M / V NEW CARISSA, 339 F. 3d 1049, 1058 (9th Cir.
This study is somewhat limited by the decision to omit mothers from low socioeconomic groups and the use of a more subjective method of classifying children's attachment.
The subjective experience of emotions and psychological well being is important; nevertheless, it would be interesting to see if the associations found in the present study hold, if reports by other informants, diagnoses, or observational methods are used.
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