Sentences with phrase «how models in general»

I understand very well how models in general work; I do not understand the details of GCMs.

Not exact matches

Before we dig further into the specifics of the New Constructs discounted cash flow model, let's talk about how a DCF works in general.

It is transforming our way of designing business models and how we think in general about customer strategy.

The Prius, and the automobile in general, has evolved immensely since, say the Model T. Have a look and you'll see how the Prius has evolved to fit it's niche.

like what she said can be said by ANYONE... I do nt totally expect all fighters or athletes in general be «role models», you do nt have to be role model, no one is perfect hence no one can be a role model that everyone can follow... but come on... I would not want to see myself, or my kids, become rich and then just start flashing money and tell others how inferior they are and they are a bum and...

The UFC simply grew too fast in relation their own organisational capabalities and it cannot / could not cope with it, hence Ferritta's sold it at the perfect time, now they have an aging staff minus some of the key players (e.g. Joe Silva etc.) with an old business model and old thinking processes with same old leaders (e.g. Dana), but now operating under totally new realities, many more fighters, fighters attitude have changed, different landscape in the sporting world in general (from how sport fans consume sports, viewing habbits,...)

How this model works: As with my analyses of opinion poll figures in Ireland, constituency support estimates for different parties and groupings form the basis of the general approach taken with this analysis.

New simulations by Macpherson and others that model how lumps evolve in general relativity may be able to gauge the importance of backreaction once and for all.

In order to better understand how soil microbes respond to the changing atmosphere, the study's authors utilized statistical techniques that compare data to models and test for general patterns across studies.

In a nutshell, here's how the model works, based on a general description provided by the Center for Open Science's (COS's) Open Science Framework (OSF): Before researchers even begin the experiments, they submit a manuscript presenting a clear hypothesis that they plan to test and their proposed experimental methods and analyses.

In their report that has received advance online publication in Nature Nanotechnology, a research team based at the Wellman Center for Photomedicine at Massachusetts General Hospital (MGH) describes how a nanomedicine that combines photodynamic therapy — the use of light to trigger a chemical reaction — with a molecular therapy drug targeted against common treatment resistance pathways reduced a thousand-fold the dosage of the molecular therapy drug required to suppress tumor progression and metastatic outgrowth in an animal modeIn their report that has received advance online publication in Nature Nanotechnology, a research team based at the Wellman Center for Photomedicine at Massachusetts General Hospital (MGH) describes how a nanomedicine that combines photodynamic therapy — the use of light to trigger a chemical reaction — with a molecular therapy drug targeted against common treatment resistance pathways reduced a thousand-fold the dosage of the molecular therapy drug required to suppress tumor progression and metastatic outgrowth in an animal modein Nature Nanotechnology, a research team based at the Wellman Center for Photomedicine at Massachusetts General Hospital (MGH) describes how a nanomedicine that combines photodynamic therapy — the use of light to trigger a chemical reaction — with a molecular therapy drug targeted against common treatment resistance pathways reduced a thousand-fold the dosage of the molecular therapy drug required to suppress tumor progression and metastatic outgrowth in an animal modein an animal model.

They were in less agreement about how intense rain or snow will be when it does fall, although there is general consensus among models that the most extreme precipitation will become more frequent.

And taking a deeper look at how drugs are working during anesthesia might also yield helpful models for different neurological disorders, Brown says, noting the similarities between EEGs in patients under general anesthesia and those in comas.

The scientists were able to recreate the impact conditions in computer models in order to learn more about the Chelyabinsk meteorite as well as how meteorites penetrate porous targets in general.

«It gives us a model for understanding how objects in general are coded within a large brain region.

The synapse between a neuron and a muscle — the neuromuscular junction — of a fruit fly larva turns out to be a good model for studying how the nervous system works in general, which can be applied to other organisms, including humans.

The relationship between an athlete personal best in competition and back squat, bench press and power clean 1RM was determined via general linear model polynomial contrast analysis and regression for a group of 53 collegiate elite level throwers (24 males and 29 females); data analysis showed significant linear and quadratic trends for distance and 1RM power clean for both male (linear: p ≤ 0.001, quadratic: p ≤ 0.003) and female (linear: p ≤ 0.001, quadratic: p = 0.001) suggesting how the use of Olympic - style weightlifting movements — the clean, in this particular case, but more in general explosive, fast, athletic - like movements — can be a much better alternative for sport - specific testing for shot putters (Judge, et al, 2013).

In this course, students will learn how to use a set of quantitative methods referred to as the general linear model — regression, correlation, analysis of variance, and analysis of covariance — to address these and other questions that arise in educational, psychological, and social researcIn this course, students will learn how to use a set of quantitative methods referred to as the general linear model — regression, correlation, analysis of variance, and analysis of covariance — to address these and other questions that arise in educational, psychological, and social researcin educational, psychological, and social research.

In this piece we had a chance to connect with three members of the East Bay Innovation Academy (EBIA) special education team to learn how the school's model of personalizing learning creates a supportive frame for their students qualifying for special education services to be well served in inclusive, general education classroomIn this piece we had a chance to connect with three members of the East Bay Innovation Academy (EBIA) special education team to learn how the school's model of personalizing learning creates a supportive frame for their students qualifying for special education services to be well served in inclusive, general education classroomin inclusive, general education classrooms.

Mr. Borch uses the «fairly normal» school district to model how different changes in school funding (e.g., changes in state general aid, revenue limits, etc.) might affect a «typical» Wisconsin school district.

In general, the models use a student's score on, say, a fourth - grade math test to predict how she or he would perform on the fifth - grade test.

These are variables in a general model of employee performance and how it improves.

As for how it stacks up against the more - upscale Premier and Medallion, the two Eagle models designed by Renault: I think its ease of operation and handling, and its general smoothness could make it the peak performer in the sales department, whatever its price.

BTW: Do you think the United States» new attorney general, Loretta Lynch, will change how the Department of Justice looks at Amazon and its business model in the book industry?

Credit scoring models are proprietary, but it is still possible to get a general idea of how the information in your credit report affects your credit score.

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 Mmodel for understanding how stocks work needs to be replaced with the Rational ModelModel.

You can see, in her portraits, exactly how each of her models felt — not in general but in the very moments in which they were doing it — about sitting still and posing.

Now however, there are honest unknowns with the models and how they (slightly) mismatch histoical records... but they are accounted for in the big scheme of things... more work needs to be done... but it does not invalidate what the models are saying for general warming trends... unbrella anyone?

I think it is over the heads of Myron Ebell's intended audience, however, and it may be necessary to write an overview — at high - school level — that explains the relative value of inductive and deductive methods in science, use of multi-compartment models in general, the sorts of problems they regularly entail (formulation, measurement, n - body calculation, brute - force computer simulation, experimental repetition, real - world validation, emergent properties, catastrophic regime - shift, assignment of probabilities, etc.) and how these are variously or provisionally overcome, according to the science you are practicing.

I think that is a little harsh, and we should not underestimate the importance of consistency in forecasting the general trends, nor the context it brings to how we interpret and present our present model results.

Not only do you («you» as in Victor and not the general you, because I presume there are people who actually model these things and may know the answer) not know how large the equilibrium response would be, but you don't know if the boundary proposed by your argument (cognate to the equilibrium response) had been reached over that period.

I know in general terms that the hydrological cycle should intensify with warming and that one event is hard to pin on climate change, but it would be good to do a catch up on how the broad trend of extreme weather fits the models.

How ARM came to be: After 25 years in action, ARM is still in the business of bettering the performance of the climate science's general circulation models.

If you don't understand the psychological biases and heuristics that technical experts, policy - makers, and the general public, use in thinking about uncertain risks, you won't be able to communicate effectively because people will unconsciously distort what you say to fit their preconceived (possibly faulty) mental model of the issue (see M. Granger Morgan, «Risk Communication: A Mental Models Approach» (Cambridge, 2001) for solid empirical evidence of this problem and how to avoid it.

General Introduction Two Main Goals Identifying Patterns in Time Series Data Systematic pattern and random noise Two general aspects of time series patterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimeGeneral Introduction Two Main Goals Identifying Patterns in Time Series Data Systematic pattern and random noise Two general aspects of time series patterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Timegeneral aspects of time series patterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimeGeneral Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimeGeneral Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimeGeneral Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimeGeneral Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimeGeneral Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimeGeneral Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimeGeneral Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimeGeneral Introduction Computation of FFT in Time Series

In the talk, I present evidence from that study, but I also connect the two - channel strategy more systematically to a general model of how cultural cognition interacts with all manner of information processing.

So I admit I am more interested in the general questions of are there semiclassical physics associated with cloud condensation, and how would you model it?

Ferdinand, given that I like your points regarding the shortness of various time series in the Arctic (notwithstanding Steve Bloom's good suggestion that we look at the big picture), how many more years of warming trends that continue in general accordance with model predictions would it take to convince you?

Curious about how Wikipedia's acid rain entry compared to other science - based topics, Likens got together with Dr. Adam M. Wilson, a geographer at the University of Buffalo, to analyze the edit histories for three politically controversial topics (acid rain, evolution, and global warming), and four non-controversial topics (the standard model in physics, heliocentrism, general relativity, and continental drift).

Lahsen's abstract says «Drawing on participant observation and interviews with climate modelers and the atmospheric scientists with whom they interact, the study discusses how modelers, and to some extent knowledge producers in general, are sometimes less able than some users to identify shortcomings of their models.»

In this case, the difference in general sensitivity for different models is mainly the result of how models treat cloud feedbacIn this case, the difference in general sensitivity for different models is mainly the result of how models treat cloud feedbacin general sensitivity for different models is mainly the result of how models treat cloud feedback.

How energy is transferred from the vegetation to underlying snow surfaces is understood in general terms but remains problematic in modelling and process details.

Three - dimensional (3D) planetary general circulation models (GCMs) derived from the models that we use to project 21st Century changes in Earth's climate can now be used to address outstanding questions about how Earth became and remained habitable despite wide swings in solar radiation, atmospheric chemistry, and other climate forcings; whether these different eras of habitability manifest themselves in signals that might be detected from a great distance; whether and how planets such as Mars and Venus were habitable in the past; how common habitable exoplanets might be; and how we might best answer this question with future observations.

This paper discusses whether and how a baroclinic atmosphere can equilibrate with very small bottom friction in a dry, primitive equation, general circulation model.

Aaron Street: Yeah, I guess rather than an analogy to cars I think maybe a more useful way of thinking about this is more like an insurance sales person or even more a financial advisor, wealth manager, where you are engaging them for the purpose of giving you advice and it turns out that their business model, though it involves giving advice, also includes things like selling you product and this isn't to denigrate law firm IT consultants, or tech consultants in general, it's just to make sure that people are aware of how their business model works and then to make sure that you're using them in a way that acknowledges that.

Former general counsel Sarah Goulbourne got together over coffee with corporate lawyer Darryl Cooke in mid-2010 to chat about how a different legal model would have huge competitive advantage over existing... [more]

«The make and model of your car is an insurance factor, and how the make and model performs in terms of crash and theft costs will alter the premium over time,» says Snyder, AIA vice president and assistant general counsel in Washington, D.C.

Rather than delve into all the features before you have a frame of reference, let's take a look at the general guidelines you want to keep in mind when pack shopping and how they relate to our model packs.

Although the model describes the development of antisocial behavior in terms of clinical diagnoses (e.g., CD and APD), in this study, we tested how well the model would describe the development of antisocial behaviors measured as continuous variables in the general population.