Sentences with phrase «since simple data»

Not exact matches

In the example at the top of the page, the simple average is 25 % and the standard deviation is 75 % (since the data points of +100 and -50 lie at a distance of 75 away from the simple average); in this case the estimate gives the exact answer of zero for the CAGR:

Since we were already measuring our production food waste on a daily basis and documenting our methodology, we found translating the data into the FLW Standard a simple process.

However, testing the validity of data analysis algorithms is difficult since it is still unclear how even relatively simple neural systems like the brain of a fruit fly work.

The major advantage of this project is the availability of a large quantity of automatically obtained data, that any user will be able to interpret easily, since it is represented on simple maps; as well as the wireless transmission of the information from the smallholding.

For instance, the use of urban data is too problematical to correct by simple algorithms — Boston's temperature has been measured at Logan Airport since 1924.

Since average return over time is insufficient to determine a safe withdrawal rate, it's fun to create simple «retirement models» from the data.

What we really want is to see some simple comparison of temperature data since 1988 with projections circa 1988 beyond 2010 and hindcasts from 1988 with current (2010) understanding beyond 2010.

Your model must match the data to be credible, while my simple analysis of the Solar effect alone does not need to match the data perfectly, in my paper I say that only approximately 50 % of the warming since 1900 is related to the sun and from 1600 to 1900 the match is quite good, indeed!

It is very simple to explain: Since the ACC (anthropomorphic climate change, aka «Man - caused global warming») is a by a series of cherry - picked data points represented by constantly flawed and failing models, it was decided to remove the PC motivated opinion aspect.

Since you guys are determined to frighten yourslees stupid with lots of predcitions about predictions about what might happen and to add mysterious and unquantified corrections to the simple bit of mathematics that actually looks at real data, then I'll leave you in fantasy land from here on this thread.

This understanding must translate eventually into more satisfying confrontations with data if it to make a contribution to science, but this can be a multi-step process... Fitting simple models to a GCM should make it easier to criitique the GCM (or at least that aspect of the GCM that is being fit in this way) since one can critique the simple model instead.

Here, a portion of the increase in temperature since 1942 has been filtered out of the original data by assuming there is a linear rise from the LIA plus a 60 year and 22 year cycle, and that increase has been plotted as a simple linear increase beginning in 1942.

Seems like a simple request since GISS has both the software and the data.

Since many data sources might be involved in a single paper, the simplest thing is for the author of the paper to archive the data that is actually used.

Since a basic North American continental experiment was already successfully executed on the few post 911 clear sky days, I posit that simple solar L1 irradiance modification experiments could be designed to test the hypothesis without any serious side effects (certainly without moving an asteroid) to successfully obtain the desired data to enable more permanent temporary solutions, and in order to give us more time to develop the necessary carbon dioxide removal and sequestration schemes — aka carbon containing products).

Logging in is as simple as scanning a fingertip, and since no one will have the same fingerprint as you, only you can access your confidential data on the Acer Swift 3.

People with established work experience have an easier time with this since it's a simple matter of looking at the job description and duties from a previous employer and building the resume around that data.