Maximum model with same slope and
The Slope of the Euro Area Phillips Curve: Always and Everywhere the Same?
... 2007, slope coefficients increase considerably with the financial crisis in 2007/08 on the basis of output ...decreasing slope coefficients are observed on the basis of unemployment gaps, indicating strong ...
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Positive Slope Model of Aggregate Demand
... growth, slope of aggregate demand curve, interest rate effect, foreign trade and real balances, nominal and real GDP, consumption, investment, savings, REPO, deflator price, exchange rate ...
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A New Prediction Model for Slope Stability Analysis
... ANN model that were found to be more significant were the hammer weight, the hammer drop, the pile length, the pile weight, the pile cross sectional area, the pile set, the pile modulus of elasticity and the ...
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DISPERSION AND DISPERSION SLOPE COMPENSATING FIBER AND OPTICAL TRANSMISSION SYSTEM UTILIZING SAME. Field of the Invention
... preferably more negative than -75; and more preferably more negative than -120 ps/nm- km. The DC fiber in accordance with the invention preferably exhibits a total dispersion slope mor[r] ...
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Model Testing Of Reinforced Soil Slope with Flexible Facing
... hexagonal slope protection geonet, strata base biaxial polypropylene geonet, HDPE drainage geonet, expanded metal mesh utilized for flexible ...soil model prepared in Chandigarh University ...with ...
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A New Closure to Slice Model for Slope Stability Analysis
... slice model. The new slice model natu- rally satisfies all the conditions of static equilibrium, producing the minimum value of the safety factor, while the existing slice models commonly overestimate the ...
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Behavior analysis by model slope experiment of artificial rainfall
... the slope, which was the same as in the model ...the slope was set such that the seepage water could flow ...the slope stability ...
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On robust estimation for slope in linear functional relationship model
... Lindley 1947). Suppose the variables X and Y are related by Y = α + βX. If both X and Y are observed correctly, there is no statistical problem in obtaining values of α and β. If Y only is observed with error, then ...
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Spatial Bayesian Model for Maximum Temperature
... spatial model is fitted to temperature extremes covering ...regression model with covariates longitude, latitude and elevation is employed for the fixed effect component, and a conditional auto regressive ...
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Perfusion CT in Acute Ischemic Stroke: A Qualitative and Quantitative Comparison of Deconvolution and Maximum Slope Approach
... the same range, but our results suggest that identical CBF/CBV thresholds for TAR/NVT definition are not appli- cable for DC and ...the same information in terms of tissue classification by using PCT lesion ...
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Model for computation of solar fraction in a single-slope solar still
... new model that calculates the distribution of solar radiation inside a single-slope solar still has been ...this model, the solar fraction on a vertical surface is divided into beam and diffuse parts ...
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Slope stability analysis by using multiple shear strength model
... a model that includes this ...the model to more realistic to influence of water ...of slope failure is very important so that the same mechanism with the right soil properties can be ...
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On the determination of the stable bed slope of a channel using mathematical model
... the model accu- racy increases with the reliability of granulometric analysis of the ...the model can be ...the model categories, where cross section profiles can be easily subdivided in horizontal ...
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Nokia on the slope: The failure of a hybrid open/closed source model
... For Peer Review At the same time, Nokia stated on wiki.maemo.org that the OSS licensing model is preferred by the company. But despite this, Nokia went on to execute a highly confusing approach, both ...
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On the Determination of the Stable Bed Slope of a Channel Using Mathematical Model
... the model accu- racy increases with the reliability of granulometric analysis of the ...the model can be ...the model categories, where cross section profiles can be easily subdivided in horizontal ...
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Distributions of Maximum Likelihood Estimators and Model Comparisons
... For simple densities, approximate methods such as p*- formula are at least asymptotically correct. They can also be used to make approximate inferences for small samples where the asymptotic results do not hold. But a ...
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A Maximum Entropy Model for Part Of Speech Tagging
... The model with specialized features does not perform much better than the baseline model, and further discovery or refinement of word-based fea- tures is difficult give[r] ...
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Chinese Tagging Based on Maximum Entropy Model
... For all the experiments conducted, training was done with a feature cutoff of 1. 6 Testing For word segmentation task, during testing, given a character sequence C 1 … C n , the trained model will try to assign a ...
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Filtering Junk Mail with A Maximum Entropy Model
... mathematical model used in a purely statistical system often lacks deep understanding of the problem domain, it simply estimates parameters from training ...a model performs well on one corpus may work ...
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Coupling a 1D Dual-permeability Model with an Infinite Slope Stability Approach to Quantify the Influence of Preferential Flow on Slope Stability
... Fig 2. Benchmark the simulated hydrology results under ponding infiltration with HYDRUS-1D 4. Example of combined hillslope hydrology and soil mechanics analysis In this section we present the results of combined ...
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