Sentences with phrase «of errors in it»

The large number of errors in such a short letter (227 words in four paragraphs) demonstrates that the former NASA employees do not understand climate disruption and no amount of fame, however well earned, can change that fact.

To clear up these misconceptions, we have selected some representative cases to discuss; the list below, however, is not intended to be an exhaustive list of the errors in Crichton's book.

The purpose of the discussion threads is to allow notification and correction of errors in the article, and to permit clarification of related points.

There is an excellent letter in response in todays Guardian, by Maurice Frankel, pointing out some (but not all) of the errors in the arguments of Nurse and Ward (See Bishop Hill).

Given the bounds of the errors in the Global Energy Budget, such an answer is not inconsistent with the measured data.

All the caterwauling has failed to identify more that a handful of errors in a very thick report.

My understanding is that a uniform prior in S (and hence, equivalently, a 1 / Y ^ 2 prior in Y) would be the correct uninformative reference prior (that which has least effect on the posterior PDF) if way stayed with Forster & Gregory's OLS regression method to estimate Y, if and only if the magnitude of the errors in measurements of the surface temperature were much less than combined errors in the measurements of forcings and net radiative balance, the opposite of what Forster & Gregory's error analysis showed.

It informed them as to the distribution of the errors in Y but not the nature of the prior distribution of Y.

These differences may be as much a function of different interpolation methods and station densities as they are of errors in observations or the result of sampling different time periods (Hulme and New, 1997; New, 1999).

Researchers do a good job of estimating the size of errors in measurements but underestimate chance of large errors.

Their conclusion This difference might be explained by some combination of errors in external forcing, model response and internal climate variability is right on the money IMO, although I don't think their analysis of why the models might be wrong was particularly illuminating.

This shift however does not alter the performance of the model in terms of the errors in computing the temperature changes.

Since this phenomenon first became apparent in the early 1990s, the research community has been seeking to identify and quantify possible sources of errors in the surface and upper air temperature measurements, and it has been trying to understand the physical processes that may have caused surface and upper air temperatures to change relative to one another.

In considering possible sources of errors in the satellite, radiosonde, and surface - based temperature measurements, it should be noted at the outset that none of these measurement systems was specifically designed for long - term climate monitoring (NRC, 1999).

Frank O'Dwyer is doing a detailed job of demonstrating an embarrassing litany of errors in Shollenberger's «review».

Dude, I may be wrong in my division of what drives the climate, and I certainly have made lots of errors in my life, but I never deal in «meaningless fluff», and the sooner you notice that, the less foolish you will look.

Recent criticism of errors in the U.N. climate panel report on global warming and revelation of stolen e-mails from climate scientists have raised questions about climate change.

Michael MacCracken's analysis of errors in Robinson, Robinson, and Soon 2007 contrarian article (July 25, 2008)

Then he brings up the classic red herring of errors in measuring absolute temperature, which as Gavin noted is irrelevant to the question of temperature anomalies.

Background The discovery, early 2010, of a number of errors in the Fourth IPCC Assessment Report on climate impacts (Working Group II), led to a review of the processes and procedures of the IPCC by the InterAcademy Council (IAC).

The second term is the sum of the errors in those measurements.

In October 2007 a London High Court judge, aware of errors in the film, indicated that the Government's earlier distribution of the film to English schools had been an unlawful contravention of the 1996 Education Act prohibiting the political indoctrination of children.

The answer to that question should not be an analysis of the errors in AR4 (or even AR5).

The statistical assessment of errors in model prediction and model estimation is of fundamental importance.

In effect, MAE quantifies the average magnitude of the errors in a set of predictions without considering their sign.

Some of the handful of errors in the IPCC reports, especially the Himalayan ones, on the face of them should have been noticed by reviewers and eagle - eyed science writers.

In Nic Lewis» article, he criticized work based on his view of errors in specific applications (e.g., statistics).

It is sometimes difficult to avoid sarcasm in response to clear cases of errors in prediction and subsequent rationalizations as to the reason.

This is how you do a real test of errors in simulations: you look at how the output varies with changes in the inputs.

The Web site should, as well, respond rapidly and openly when reports of errors in past assessments are themselves in error.

Perhaps one could say that the mix of errors in 1988 Scenario C «looks» like it matches the history, suggesting that «up» errors of 1988 were compensated for by «down» errors as things turned out.

# 29 Aaron Lewis: First, I would like to note that «An Inconvenient Truth» as been adjudged political by a British Court (http://news.independent.co.uk/uk/legal/article3047673.ece) because of the errors in it.

First, I would like to note that «An Inconvenient Truth» as been adjudged political by a British Court (http://news.independent.co.uk/uk/legal/article3047673.ece) because of the errors in it.

Much of the conversation concerning replication often appears to be based on the idea that a large fraction of scientific errors, or incorrect conclusions or problematic results are the result of errors in coding or analysis.

It is the multitude of errors in the models which the modellers do not wish to admit to, not the corrections which they feel are necessary.

The discovery, early 2010, of a number of errors in the Fourth IPCC Assessment Report on climate impacts (Working Group II), led to a review of the processes and procedures of the IPCC by the InterAcademy Council (IAC).

This is not just a question of errors in papers, or of the new pushing aside the old, or polemics, or technical controversies.

If there is a discrepancy between simulation and observations, it might be (partly) because of errors in the forcings or initial conditions or in some other aspect of the experimental design.

An explosion of colour and abstraction born of errors in grain, pixels and screen resolution all play their part to recaliberate our relationship with the analogue history of photography amidst the current digital onslaught.

In the case of errors in the name of either the owner or the dog, the Chairman of the Evaluation Committee alone shall be notified.

I learned of the errors in the Old School safe withdrawal rate studies by reading John Bogle's explanation of how Reversion to the Mean is an «Iron Law» of stock investing.

I've posted comments at the Free Money Finance blog on a number of occasions, helping my fellow community members come to a better understanding of the errors in the Old School Safe Withdrawal Rate Studies and explaining in general why the discredited Passive Investing model for understanding how stocks work needs to be replaced with the Rational Model.

he frequency of errors in credit reports is another reason why credit reports are not reliable for employment.

As a result of the FACTA debates, the FTC was required to undertake a comprehensive study of errors in credit reports.

The answer is never extremely simple, but it's often the result of errors in trading psychology that are really pretty easy to fix if you're willing to be honest with yourself and put forth some effort to change.

Equal - weighting is a contrarian strategy that exploits the «reversal» in stock prices and eliminates some of the errors in market capitalization - weighted indices.

Anyone that focuses on where the conventional wisdom is wrong will commit a lot of errors in an effort to be novel.

Since the process of obtaining these almost fantastic profits is so complex, it is not surprising that a certain percentage of errors in purchasing are sure to occur.

Ed Easterling, author or «Unexpected Returns» has said that there will be many retirees working as greeters at WalMart because of errors in the Old School studies and that this all could have been avoided had someone bothered to check the numbers.

We recently covered the top 10 investing myths in a prior post, the ten biggest mistakes that even experienced investors make because of errors in the «popular» wisdom.