Sentences with phrase «model times series»

There are books upon books about how to properly model times series.

modelled time series with a series of monthly averages (same for all years), the resulting efficiency

There are zillions of functions for modeling time series, and it may be that in a couple weeks Mike will come across a set for modeling the noise that gives him fewer total parameters.

Specifically, the correlation of modelled time series with historical ones is fair and the resulting coefficient of efficiency seems satisfactory.

However, where tested, replacement of the modelled time series with a series of monthly averages (same for all years) resulted in higher efficiency.

Not exact matches

Samsung has a series of models that comes out very frequently and the focus is on getting people to upgrade to the next model each time,» he said through a translator.

Last year, First Solar announced it could take an impairment charge of between US$ 500 and US$ 700 million in the phasing out of the thin - film solar panel model it was producing at the time, its flagship Series 4, and speed up the development of the new model, Series 6.

The most successful companies evolve over time through a series of one - step moves based on a repeatable model.

Version 3.12.3 — released today — is the most current firmware for Classic - Series (Pebble Classic, Pebble Steel) models at this time.

ACC Accounting & Auditing, AFR Africa, AGE Economics of Ageing, AGR Agricultural Economics, ARA Arab World, BAN Banking, BEC Business Economics, CBA Central Banking, CBE Cognitive & Behavioural Economics, CDM Collective Decision - Making, CFN Corporate Finance, CIS Confederation of Independent States, CMP Computational Economics, CNA China, COM Industrial Competition, CSE Economics of Strategic Management, CTA Contract Theory & Applications, CUL Cultural Economics, CWA Central & Western Asia, DCM Discrete Choice Models, DEM Demographic Economics, DEV Development, DGE Dynamic General Equilibrium, ECM Econometrics, EDU Education, EEC European Economics, EFF Efficiency & Productivity, ENE Energy Economics, ENT Entrepreneurship, ENV Environmental Economics, ETS Econometric Time Series, EUR Microeconomics European Issues, EVO Evolutionary Economics, EXP Experimental Economics, FDG Financial Development & Growth, FIN Finance, FMK Financial Markets, FOR Forecasting, GEO Economic Geography, GRO Economic Growth, GTH Game Theory, HAP Economics of Happiness, HEA Health Economics, HIS Business, Economic & Financial History, HME Heterodox Microeconomics, HPE History & Philosophy of Economics, HRM Human Capital & Human Resource Management, IAS Insurance Economics, ICT Information & Communication Technologies, IFN International Finance, IND Industrial Organization, INO Innovation, INT International Trade, IPR Intellectual Property Rights, IUE Informal & Underground Economics, KNM Knowledge Management & Knowledge Economy, LAB Labour Economics, LAM Central & South America, LAW Law & Economics, LMA Labor Markets - Supply, Demand & Wages, LTV Unemployment, Inequality & Poverty, MAC Macroeconomics, MFD Microfinance, MIC Microeconomics, MIG Economics of Human Migration, MKT Marketing, MON Monetary Economics, MST Market Microstructure, NET Network Economics, NEU Neuroeconomics, OPM Open Macroeconomics, ORE Operations Research, PBE Public Economics, PKE Post Keynesian Economics, POL Positive Political Economics, PPM Project, Program & Portfolio Management, PUB Public Finance, REG Regulation, RES Resource Economics, RMG Risk Management, SBM Small Business Management, SEA South East Asia, SOC Social Norms & Social Capital, SOG Sociology of Economics, SPO Sports & Economics, TID Technology & Industrial Dynamics, TRA Transition Economics, TRE Transport Economics, TUR Tourism Economics, UPT Utility Models & Prospect Theory, URE Urban & Real Estate Economics.

ACC Accounting & Auditing, AFR Africa, AGE Economics of Ageing, AGR Agricultural Economics, ARA Arab World, BAN Banking, BEC Business Economics, CBA Central Banking, CBE Cognitive & Behavioural Economics, CDM Collective Decision - Making, CFN Corporate Finance, CIS Confederation of Independent States, CMP Computational Economics, CNA China, COM Industrial Competition, CSE Economics of Strategic Management, CTA Contract Theory & Applications, CUL Cultural Economics, CWA Central & Western Asia, DCM Discrete Choice Models, DEM Demographic Economics, DEV Development, DGE Dynamic General Equilibrium, ECM Econometrics, EDU Education, EEC European Economics, EFF Efficiency & Productivity, ENE Energy Economics, ENT Entrepreneurship, ENV Environmental Economics, ETS Econometric Time Series, EUR Microeconomic European Issues, EVO Evolutionary Economics, EXP Experimental Economics, FDG Financial Development & Growth, FIN Finance, FMK Financial Markets, FOR Forecasting, GEO Economic Geography, GRO Economic Growth, GTH Game Theory, HAP Economics of Happiness, HEA Health Economics, HIS Business, Economic & Financial History, HME Heterodox Microeconomics, HPE History & Philosophy of Economics, HRM Human Capital & Human Resource Management, IAS Insurance Economics, ICT Information & Communication Technologies, IFN International Finance, IND Industrial Organization, INO Innovation, INT International Trade, IPR Intellectual Property Rights, IUE Informal & Underground Economics, KNM Knowledge Management & Knowledge Economy, LAB Labour Economics, LAM Central & South America, LAW Law & Economics, LMA Labor Markets - Supply, Demand & Wages, LTV Unemployment, Inequality & Poverty, MAC Macroeconomics, MFD Microfinance, MIC Microeconomics, MIG Economics of Human Migration, MKT Marketing, MON Monetary Economics, MST Market Microstructure, NET Network Economics, NEU Neuroeconomics, OPM Open Macroeconomics, PBE Public Economics, PKE Post Keynesian Economics, POL Positive Political Economics, PPM Project, Program & Portfolio Management, PUB Public Finance, REG Regulation, RES Resource Economics, RMG Risk Management, SBM Small Business Management, SEA South East Asia, SOC Social Norms & Social Capital, SOG Sociology of Economics, SPO Sports & Economics, TID Technology & Industrial Dynamics, TRA Transition Economics, TRE Transport Economics, TUR Tourism Economics, UPT Utility Models & Prospect Theory, URE Urban & Real Estate Economics.

These time - series, plus the construction of models of likely combinations of trends, assist in uncovering the causal relationships obtained among the variables which are shaping outcomes.

I am convinced that what has died, that whose death has been announced, is a series of models, images, pictures, or concepts of deity which for a very long time have been taken by considerable numbers of people to be the Christian way of understanding God.

It is well known that the various forms of process thought are agreed in denying the existence of an enduring self which maintains absolute identity through change.1 Process thought — regardless of whether time is taken to be Continuous or discreet, or whether one holds to an A series or B series view of time — is committed to some form of ancestral chain model of the self wherein the self is a series of interrelated actual occasions in which earlier occasions are prehended by later members of the chain to form a serial nexus.

It speaks of operations research, systems analysis, technological forecasting, information theory, game theory, simulation techniques, decision theory, Delphi method, cross-impact matrix analysis, statistical time - series, stochastic models, linear programming, input - output economics, computer based command and control systems, and so on.

Jenny McCarthy is a mother, model, actress, author of a series of New York Times Best - selling books and relentless activist for autism through her charity Generation Rescue.

Coyote also introduced new LED Back - Lit Knobs as an option on all Coyote S - Series models for easy night time cooking.

Ford is bringing its Mustang model to the NASCAR Cup Series beginning in 2019, Ford Motor Co. revealed Tuesday, confirming a move that had been speculated for some time.

Individual growth curve models were developed for multilevel analysis and specifically designed for exploring longitudinal data on individual changes over time.23 Using this approach, we applied the MIXED procedure in SAS (SAS Institute) to account for the random effects of repeated measurements.24 To specify the correct model for our individual growth curves, we compared a series of MIXED models by evaluating the difference in deviance between nested models.23 Both fixed quadratic and cubic MIXED models fit our data well, but we selected the fixed quadratic MIXED model because the addition of a cubic time term was not statistically significant based on a log - likelihood ratio test.

Stationarity tests, the white noise test, and the Dickey - Fuller test for unit roots were performed as well as examination of autocorrelation function and partial autocorrelation function plots17 to help identify appropriately parameterized models for MAR, ED, and lunch participation time series.

In an extended version of this work, I use econometric modelling — a time - series cross-sectional approach — to provide evidence of this assumption.

«A Scaling Model for Estimating Time - Series Party Positions from Texts».

The researchers conducted the study by using time series modelling of data on the official unemployment rate and recorded property crime rate, testing how the relationship has varied from the 1940s to the present day.

Vincent Saba, a research fishery biologist at NOAA's Northeast Fisheries Science Center (NEFSC), and his study co-authors used annual nest counts from Florida and a time - series of climate data in turtle - nesting population models.

«It's more of a time series approach where we are applying modeling to derive estimates of future cases,» Brownstein says.

At the same time, Acemoglu has conducted a wide - ranging series of studies analyzing and modeling political change in many countries, often with political scientist James Robinson of the University of Chicago.

His lab's «empirical dynamic modeling» techniques use time - series data to look at the invisible ways these complicated systems are connected: like plucking one string out of a jumbled network and seeing which other strings echo back.

In a series of models, Grilli and his former doctoral student Jeff Harris worked backwards in time to recreate the movement of the seafloor from the earthquake and concluded that an additional movement underwater about 100 kilometers north of the earthquake's epicenter must have occurred to propagate the large waves that struck Sanriku.

Experience in numerical modeling and use of hydro - acoustic, time series analyses, computing skills, and knowledge of Matlab programming will be an asset.

In order to illustrate how relative similarities of responses in each brain region varied as a function of social distance, inter-subject time series similarities (i.e., Pearson correlation coefficients between preprocessed fMRI response time series) were normalized (i.e., z - scored across dyads for each region) prior to averaging across dyads for each brain region and overlaying results on an inflated model of the cortical surface for each social distance category.

Buoys: Buoys provide us with time series data at specific locations that aid in both atmospheric and oceanic forecasting and modeling

Then, we generated proxies with this fitted model, using as predictors the SST time series where the components linearly related to the MEI, PDO and AMO were removed (by linear regression, as above).

a — c Average dyadic fMRI response time series similarities overlaid on a cortical surface model (a lateral view; b medial view; c ventral view).

The subject of Akaike's works is essentially linear autoregressive models of time series.

Day 1 focused on methods for modeling transcriptional regulation, whilst day 2 examined techniques for analysing and visualising time series data.

Fig. 2 Time series of the Atlantic flow (AMOC) in the two model variants: without correction (blue) and with correction (orange).

-- 7) Forest models for Montana that account for changes in both climate and resulting vegetation distribution and patterns; 8) Models that account for interactions and feedbacks in climate - related impacts to forests (e.g., changes in mortality from both direct increases in warming and increased fire risk as a result of warming); 9) Systems thinking and modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed decision support systems to provide guidance for managing for adaptmodels for Montana that account for changes in both climate and resulting vegetation distribution and patterns; 8) Models that account for interactions and feedbacks in climate - related impacts to forests (e.g., changes in mortality from both direct increases in warming and increased fire risk as a result of warming); 9) Systems thinking and modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed decision support systems to provide guidance for managing for adaptModels that account for interactions and feedbacks in climate - related impacts to forests (e.g., changes in mortality from both direct increases in warming and increased fire risk as a result of warming); 9) Systems thinking and modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed decision support systems to provide guidance for managing for adaptation.

Application of this model to time series data reiterates the direct association between low aragonite saturation state and upwelled waters and highlights the extent to which benthic communities on the Northern California shelf are already exposed to aragonite undersaturated waters.

We reconstructed the full carbonate system of an estuarine seagrass habitat for a summer period of 2.5 months utilizing a combination of time - series observations and mechanistic modeling, and quantified the roles of aerobic metabolism, mixing, and gas exchange in the observed dynamics.

The models capture both annual and decadal time series patterns, including those that have raised concerns with modelers and conservationists.

Additionally, we provide a more accurate chronology for the timing of Neanderthal extinction in the region through a robust series of 16 ultrafiltered bone collagen radiocarbon dates from LMP layers and using Bayesian modeling to produce a boundary probability distribution function corresponding to the end of the LMP at Mezmaiskaya.

One approach is to develop empirical regional models that enable aragonite saturation state to be estimated from existing hydrographic measurements, for which greater spatial coverage and longer time series exist in addition to higher spatial and temporal resolution.

Fig 5 - Time series of the (modeled) climate response to a cessation of CO2 emissions.

And it seems Casper Smart has done the same as he shared a series of snaps with stunning fitness model Paige Hathaway during their Miami getaway together Science Speed - Dating Aims To Boost Accuracy In TV And Film:: Cosmos And Culture When was the last time you got really excited by good

Recent Online Trainings (2013 - 2014 Academic Year through Current) The NCHERM Group Model Code Project Online Training Series (free About the Author: Brad initially struggled with online dating but over time became quite successful using it.

Unlike the Naruto: Ultimate Ninja Storm series which is more and more a mess of technical, balance and gameplay issues these days, Brave Soldiers delivers what is a nice, franchise - based fighting game, at first, i was expecting a simple fighting game with some button mashing, however, the game proved me wrong and i fell in love, the combo system, while easy, is a lot more deep than the one in the Naruto games, with all of the characters having two special attacks, two «burst attacks», a knock - away and a launcher respectively, a throw and an ultimate attack (called a «Big Bang Attack»), every character also has an universal dodge - action that sends them behind their enemies while spending one cosmo bar, making bar management that much precious and shielding you from a half - a-hour combo, unlike in the NUNS series, the fighting and the characters are nicely balanced, with every character being fun to play and viable at the same time, the game runs smoothly without frame - rate issues and the cell - shaded graphics, character models, arenas and effects alike are nice to the eye, battles are divided into rounds, with all the tiny nice stuff like character introductions and outros being intact (fun fact: the characters will even comment on their score after the battle), the game also features an awakening system, called the «Seventh Sense» awakening, unlike the NUNS awakening system which became severely unbalanced in the later game, every character simply gains a damage / defense boost, with the conditions being the same for all characters, eliminating situations when one character can use awakening at almost any point in the battle, or one awakening being drastically stronger than the other, the game has a story mode with three story arcs used to unlock characters, a collection mode, tournament modes, a survival mode, a series of special versus modes and online battle modes.

According to Aonuma, Nintendo believed at that time than an annualization of the series would be possible, thanks to Ocarina of Time being in 3D and the models being able to be reused, versus having to draw all new sprites, as Zelda games were 2D before the release of time than an annualization of the series would be possible, thanks to Ocarina of Time being in 3D and the models being able to be reused, versus having to draw all new sprites, as Zelda games were 2D before the release of Time being in 3D and the models being able to be reused, versus having to draw all new sprites, as Zelda games were 2D before the release of OoT.

As such plant characterisation modelling studies making use of climatic and topographical data within time series makes use of the state of evolution of plants to infer the state of the climate.

It contains: - vocabulary exercises (School subjects, equipement, school system, clothes, daily routine and revision of the time)- 1 grammar reminder and task (Adjective agreements)- 1 listening exercise, modelled, as far as possible, on the IGCSE listening paper, but with authentic recordings (link to the recordings is on the sheet itself)- 1 reading exercise, modelled exactly on Paper 2 (Section 2 - first text)- 2 writing task, modelled exactly on Paper 4 (one from Section 1 and 2 from Section 2)- a series of questions with model answers for students to practise the speaking exam.

Also, please do not assume that simply reminding the students three times, providing a pre-test or post-test, or teacher modeling are part of a learning series of the Rule of Three.