The model needs to properly reflect the underlying physical structure in order to have any chance at an end result that is meaningful with properly estimated parameters and
measures of uncertainty for those parameters.
Not exact matches
These risks and
uncertainties include: Gilead's ability to achieve its anticipated full year 2018 financial results; Gilead's ability to sustain growth in revenues
for its antiviral and other programs; the risk that private and public payers may be reluctant to provide, or continue to provide, coverage or reimbursement
for new products, including Vosevi, Yescarta, Epclusa, Harvoni, Genvoya, Odefsey, Descovy, Biktarvy and Vemlidy ®; austerity
measures in European countries that may increase the amount
of discount required on Gilead's products; an increase in discounts, chargebacks and rebates due to ongoing contracts and future negotiations with commercial and government payers; a larger than anticipated shift in payer mix to more highly discounted payer segments and geographic regions and decreases in treatment duration; availability
of funding
for state AIDS Drug Assistance Programs (ADAPs); continued fluctuations in ADAP purchases driven by federal and state grant cycles which may not mirror patient demand and may cause fluctuations in Gilead's earnings; market share and price erosion caused by the introduction
of generic versions
of Viread and Truvada, an uncertain global macroeconomic environment; and potential amendments to the Affordable Care Act or other government action that could have the effect
of lowering prices or reducing the number
of insured patients; the possibility
of unfavorable results from clinical trials involving investigational compounds; Gilead's ability to initiate clinical trials in its currently anticipated timeframes; the levels
of inventory held by wholesalers and retailers which may cause fluctuations in Gilead's earnings; Kite's ability to develop and commercialize cell therapies utilizing the zinc finger nuclease technology platform and realize the benefits
of the Sangamo partnership; Gilead's ability to submit new drug applications
for new product candidates in the timelines currently anticipated; Gilead's ability to receive regulatory approvals in a timely manner or at all,
for new and current products, including Biktarvy; Gilead's ability to successfully commercialize its products, including Biktarvy; the risk that physicians and patients may not see advantages
of these products over other therapies and may therefore be reluctant to prescribe the products; Gilead's ability to successfully develop its hematology / oncology and inflammation / respiratory programs; safety and efficacy data from clinical studies may not warrant further development
of Gilead's product candidates, including GS - 9620 and Yescarta in combination with Pfizer's utomilumab; Gilead's ability to pay dividends or complete its share repurchase program due to changes in its stock price, corporate or other market conditions; fluctuations in the foreign exchange rate
of the U.S. dollar that may cause an unfavorable foreign currency exchange impact on Gilead's future revenues and pre-tax earnings; and other risks identified from time to time in Gilead's reports filed with the U.S. Securities and Exchange Commission (the SEC).
Further,
for our main
measures (inflation, home price changes, and earnings growth) we also report the time series
of forecast
uncertainty.
Institutional investors may be scratching their heads at why the widely watched
measure of market concern known colloquially as the «fear index,» or VIX, recently reached a 23 - year low despite plenty
of reasons
for the sort
of uncertainty that makes markets jittery.
The SCE also provides
measures of uncertainty in expectations
for the main outcomes
of interest.
Based on initial tests, he constructs aggregate metrics
for overvaluation (averaging seven
of the overvaluation indicators) and
uncertainty (averaging six
of the
uncertainty measures)
for subsequent tests.
The airwaves were full opiners who warned
of a market that is fully valued.Gundlach and Dalio added their two cents
for measure, espousing the need to hold GOLD as a hedge against geopolitical
uncertainties.
The proposed
measures are far too broad and have created significant
uncertainty for entrepreneurs, large private corporations and subsidiaries
of multinational corporations.
Two
of these reviews produce summary
measures suggesting parent training programmes have a significant positive effect in crime prevention [12] and
for non-compliant children [13] although this latter review does not provide any indication
of the
uncertainty of the effect estimate.
With living standards already squeezed and with the considerable
uncertainty associated with the introduction
of the Universal Credit — a
measure that needs to succeed and will inevitably have consequences that will require adjustment — it would be irresponsible
for further such steps to be taken.
We also welcome
measures to reduce
uncertainty to business at a time
of fragile economic recovery — so a move to only call
for a referendum if certain and well understood conditions are not met is helpful.
Using a representative sample
of 20 different methods
for predicting extreme sea levels the researchers focused intensely on the
measures of uncertainty that accompany any prediction, but that are particularly vexing in the analysis
of extremes.
Also, the model - based approach includes
measures of uncertainty about our population estimates, which are not usually provided by more common approaches and are crucial
for understanding the level
of confidence we have about our estimates.»
«The physical reason behind this
uncertainty is that measurement, by its very nature, requires using some sort
of energy —
for example, shining a light on the object to be
measured.
«(A) the technical capacity to monitor,
measure, report, and verify forest carbon fluxes
for all significant sources
of greenhouse gas emissions from deforestation with an acceptable level
of uncertainty, as determined taking into account relevant internationally accepted methodologies, such as those established by the Intergovernmental Panel on Climate Change;
«We were able to
measure precisely the density
of exoplanets that are similar to Earth in terms
of their size, mass, and irradiation, with an
uncertainty of less than 10 percent, which is a first and a decisive step in the characterization
of potential habitability,» said Brice - Olivier Demory, a professor at the Center
for Space and Habitability and co-author
of the study, which was published in late January 2018 in the journal Astronomy and Astrophysics.
It also explains why researchers and value - added vendors typically report confidence intervals
for value - added
measures that help quantify the role
of random error and the
uncertainty this creates about teachers» «true» value - added.
Licensure assessments
for those entering teaching reflect this
uncertainty; virtually all
measure some aspects
of candidates» personal content knowledge but few test their knowledge at a standard adequate
for teaching it, and even fewer require evidence
of performance ability — in part because there is no professional consensus around what a new teacher should be able to do.
Based on the above conclusions, they consider that the future integrity
of the property is highly at risk, taking into account the possible prospect
of offshore oil exploitation, the
uncertainty about the impact
of invasive species, the already existing threats
for which progress on the corrective
measures is unclear and the globally increasing effects
of climate change to coral reef systems, including the Belize Barrier Reef system.
I can determine the standard
uncertainty for all the measured variables from statistics It is falsifiable — i can move a body at a certain velocity for a certain time and measure the traveled distance If the traveled distance does not fit with calculated distance within the uncertainty calculated by using the international standard Guide to the expression of Uncertainty in Measurement the model migh
uncertainty for all the
measured variables from statistics It is falsifiable — i can move a body at a certain velocity
for a certain time and
measure the traveled distance If the traveled distance does not fit with calculated distance within the
uncertainty calculated by using the international standard Guide to the expression of Uncertainty in Measurement the model migh
uncertainty calculated by using the international standard Guide to the expression
of Uncertainty in Measurement the model migh
Uncertainty in Measurement the model might be wrong.
A comprehensive risk assessment would determine flood hazard
for individual structures by modeling watershed and floodplain characteristics at fine spatial scales; it would describe the varying levels
of protection offered by all elements
of a flood protection system and mitigation
measures; and it would account explicitly
for uncertainties, including those related to current and future flood hazard, structure value and vulnerability, and the current and future performance
of flood protection
measures.
Although
uncertainties still linger, the technical sub-committee that focused on REDD
for the two years leading up to Bali concluded not only that the magnitude
of deforestation emissions was significant — approximately 20 %
of global emissions — but that sufficiently cost - effective methodologies exist
for measuring forest carbon and monitoring deforestation.
Instead, they discuss new ways
of playing around with the aerosol judge factor needed to explain why 20th - century warming is about half
of the warming expected
for increased in GHGs; and then expand their list
of fudge factors to include smaller volcanos, stratospheric water vapor (published with no estimate
of uncertainty for the predicted change in Ts), transfer
of heat to the deeper ocean (where changes in heat content are hard to accurately
measure), etc..
Initial condition
uncertainty arises due to errors in the estimate
of the starting conditions
for the forecast, both due to limited observations
of the atmosphere, and
uncertainties involved in using indirect measurements, such as satellite data, to
measure the state
of atmospheric variables.
Concerning the
uncertainty of assessments made by IPCC, already in The Environment Conference Rio de Janeiro 1992 there was agreed a principle according to which» lack
of full scientific certainty shall not be used as a reason
for postponing cost - effective
measures to prevent environmental degradation».
«(A) the technical capacity to monitor,
measure, report, and verify forest carbon fluxes
for all significant sources
of greenhouse gas emissions from deforestation with an acceptable level
of uncertainty, as determined taking into account relevant internationally accepted methodologies, such as those established by the Intergovernmental Panel on Climate Change;
Based on the rather vast
uncertainties in aerosol forcing, and the substantial discrepancies between model projections
of ocean heat uptake and
measured heat uptake (ARGO), it strikes me as bizarre that the IPCC insists on excluding the possibility
of quite low sensitivity, when there is a wealth
of evidence
for fairly low sensitivity.
The last point emphasizes the need
for further development and analysis
of probabilistic forecast ranges and
measures of uncertainty, critical to future efforts.
The shading indicates a
measure of uncertainty about future sea level
for two different scenarios — a low emissions scenario where carbon emissions are rapidly cut (blue RCP 2.6) and a high emissions scenario with no carbon cuts (red RCP 8.5).
To cut a long story short, this
uncertainty argues
for a strategy
of relatively cheap
measures done right now (the longer we leave it the higher the cost / effectiveness ratio), while also spending a little on preparation (especially technology research)
for radically more disruptive
measures in case they ever turn out to be needed.
In addition to inherent scientific
uncertainties slowing response, a variety
of human and institutional barriers stand in the way
of adaptation
measures: long lead - times
for rule changes; ideological resistance; a preoccupation with the near - term; false perceptions that climate impacts either won't be too painful or are off in the distant future; business - as - usual assumptions; and lack
of national leadership.
The very high significance levels
of model — observation discrepancies in LT and MT trends that were obtained in some studies (e.g., Douglass et al., 2008; McKitrick et al., 2010) thus arose to a substantial degree from using the standard error
of the model ensemble mean as a
measure of uncertainty, instead
of the ensemble standard deviation or some other appropriate
measure for uncertainty arising from internal climate variability... Nevertheless, almost all model ensemble members show a warming trend in both LT and MT larger than observational estimates (McKitrick et al., 2010; Po - Chedley and Fu, 2012; Santer et al., 2013).
Perhaps all
measures would be better put on hold
for an iteration and an agreed programme
of uncertainty reduction taken as a matter
of urgency.
Sensitivity analysis indicates that
uncertainty about the
measure of surface temperature, anthropogenic sulfur emissions, or its conversion to radiative forcing has a small effect on the model's simulated forecast
for global surface temperature (SI Appendix: Section 2.4 and Figs S3, S4).
Here's where this «loophole
of uncertainty» comes into play - because China has implemented actions that address climate change through its Eleventh Five - Year Plan since 2005 and has internally funding all
of its energy efficiency
measures and mitigation actions (and furthermore hasn't asked
for any funding with regards to their 40 - 45 % reduction in carbon intensity by 2020 from 2005 levels), China would therefore be exempt from international MRV if this text is eventually agreed upon.
The hope
of the industry was that RSD would provide a rapidly deployable method
for measuring power performance that would also result in a lower
uncertainty due to having measurements across the entire turbine rotor.
The challenges are finding a good enough
measure of urbanity, dealing with
uncertainty in station locations (a problem in many areas outside the U.S., where lat / lon coordinates aren't always accurate), and ensuring that your method doesn't suffer from spatial coverage biases between urban and rural sets (I tend to prefer station pair comparison methods
for that reason).
A large part
of the time, climate scientists are «tinkering» with the models, probing their weaknesses,
measuring uncertainty, identifying which components contribute to errors, looking
for ways to improve them, etc..
Ocean temperature must be
measured regularly around the world from the ocean surface to the ocean floor to reduce
uncertainty in ocean heat uptake, which accounts
for over 90 %
of global warming.
For this reason, the proxies must be «calibrated» empirically, by comparing their
measured variability over a number
of years with available instrumental records to identify some optimal climate association, and to quantify the statistical
uncertainty associated with scaling proxies to represent this specific climate parameter.
Besides supplying an unbiased appraisal
of the accuracy
of the reconstruction, the validation period can also be used to adjust the
uncertainty measures for the reconstruction.
Here Ravetz might have confused the sensitivity
for CO2 doubling per se which is well established at ~ 1C, with the more usual
measure of climate sensitivity taking into account all feedbacks, which is necessarily a more uncertain enterprise, but usually considered to be around 3C, albeit with much broader
uncertainty.
Using an ensemble
of eight models calibrated only
for phenology or five models calibrated in detail resulted in the
uncertainty equivalent to that
of the
measured yield in well - controlled agronomic field experiments.
On further reflection I believe that in principle it doesn't matter how you
measure uncertainty (I guess this is what you called bias
for individual runs), especially if the aforementioned kind
of baseline is unknown.
It is these elevated expectations, juxtaposed against the
uncertainty of whether the Tribunal will treat Dr. Kelly's circumstances as a unique situation rather than the «new normal», which will make it difficult
for parties in BC to resolve disputes informally until a
measure of certainty is eventually established by the Tribunal.
Independent agents will help take the fear and
uncertainty out
of shopping
for life insurance, and can help you take
measures to get the best coverage possible
for your needs.
The Indian finance minister, Arun Jaitley's budget speech on February 1st, stating that «the government does not recognize cryptocurrency as legal tender or coin and will take all
measures to eliminate the use
of these crypto - assets in financing illegitimate activities or as part
of the payments system,» added to the existing FUD (Fear,
Uncertainty, and Doubt) in the market
for cryptocurrencies, sending major crypto - assets down to bargain levels.
It comes amid
uncertainty over one critical
measure — secured funding
for the NDIS through a rise in the Medicare levy to 2.5 per cent, with Opposition Bill Shorten saying Labor will limit its support
for an increase in the levy to those in the top two tax brackets, despite the urging
of leading disability groups to «not compromise the bipartisanship» on full NDIS funding.
Two
of these reviews produce summary
measures suggesting parent training programmes have a significant positive effect in crime prevention [12] and
for non-compliant children [13] although this latter review does not provide any indication
of the
uncertainty of the effect estimate.
In fact, on Oct. 22, Morningstar raised its
uncertainty ratings, which
measure the margin
of safety around the fair value
of a stock, to high from medium
for a number
of companies in the retail REIT universe, including Kimco Realty Corp., Macerich Co. and PREIT, citing possible losses in revenue because
of consumer spending and the financing environment.