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  • Use of the linear quadratic approach to study the dynamic policy responses of a non linear model of the French economy
  • Dynamic policy responses of a model of the French economy. Advantage is taken of the linear behavior of the model around a reference trajectory. The linear approximation of the implicit state variable representation is determined by stepwise
  • regressions. The examination of the 10 control variables has little influence in modifying the autonomous dynamics of the model. (INRA).
  • Linear regression and curvilinear trend-lines
  • Power transformations and linear regression models in geography
  • A geostatistical linear regression model for small area data
  • Aggregation ; Geostatistics ; Linear regression ; Model ; Simulation ; Spatial autocorrelation
  • Erosion rate ; Linear regression ; Model ; New Zealand ; Shore platform ; South Island ; Topography ; Weathering
  • Simple linear regression is used to interpret erosion rates on two shore platforms from the Kaikoura Peninsula, South Island, New Zealand. Using this analysis it is suggested that measured rates could be viewed as representatives of populations
  • Defining phases of bedload transport using piecewise regression
  • Carrying capacity ; Colorado ; Discharge ; Fluvial dynamics ; Grain size distribution ; Linear regression ; Model ; Stream ; United States of America ; Wyoming ; Years 1990-99
  • The aim of this paper is to demonstrate the best-fit functions between measured bedload and discharge and provide support for the selection of a two-piece linear regression model with a distinct breakpoint that can be bounded with confidence limits
  • by applying bootstrapping techniques. The AA. present and demonstrate the application of the piecewise regression procedure for transport rates measured at 8 sites on the Fraser Experimental Forest near Fraser, Colorado, where 100 to 200 samples were collected
  • between 1992 and 1997. The piecewise regression model is evaluated further using data from 4 streams in Colorado and Wyoming.
  • Predicting urbanization level by main element analysis and multiple linear regression - taking Xiantao district in Hubei Province as an example
  • China ; Forecast ; Hubei ; Multiple regression ; Statistics ; Urbanization
  • Fluvial hydrology ; Linear regression ; Model ; Multivariate analysis ; Regression analysis ; Runoff ; Slovak Republic ; Statistics ; Stream ; Stream flow
  • The linear regression analysis of the relation between the mean annual runoff and nine parameters of the natural landscape structure of the 141 river drainage areas of Slovakia. - (MS)
  • Misuse of R2 values from linear regression in fractal analysis
  • Fractal geometry ; Geomorphology ; Lava flow ; Methodology ; Regression analysis ; Slope gradient ; Statistics
  • A new perspective about Moran's coefficient : spatial autocorrelation as a linear regression problem
  • Matrix analysis ; Regression analysis ; Simulation ; Spatial analysis ; Spatial autocorrelation ; Statistics
  • The eigendecomposition of the spatial weighting matrix is used to propose a new view of the Moran coefficient based on its interpretation in the simple context of linear regression. This interpretation demonstrates the different properties of MC
  • Spatial and temporal assessment of linear erosion in catchments under sloping lands of northern Laos
  • Digital elevation model ; Erosion rate ; Gully erosion ; Land use ; Laos ; Precipitation ; Regression analysis ; Rill wash ; Slope gradient ; Soil erosion ; Watershed
  • Linear erosion (LE), including rilling and gullying, has been identified as the major problem for sustainable agriculture in steepland areas. The aim of this study is to quantify the spatial and temporal variations of linear erosion at the catchment
  • level, in a watershed in Laos. Spatial and temporal assessments of the formation and development of linear erosion features were carried out over a 3 year period from 2001 to 2003 within 9 sub-catchments with similar geology and climate conditions
  • but with differing topographies and land use. Linear erosion was evaluated with reference to the environmental characteristics of the sub-catchments.
  • Bidimensional regression
  • Calibration ; Cartography ; Error ; Least squares method ; Linear regression ; Matrix analysis ; Regression analysis ; Spatial statistics ; Statistics
  • The use of added variable plots in regression modelling with spatial data
  • Correlation ; Data analysis ; Linear regression ; Mathematical model ; Model ; Multivariate analysis ; Regression analysis ; Spatial analysis
  • Properties of tests for spatial dependence in linear regression models
  • Forecast ; Least squares method ; Linear regression ; Methodology ; Model ; Stream ; Stream flow ; Turbulence
  • , relative depth, and boundary resistance. Preliminary approaches to prediction and modelling of variations in flow intensity are suggested based upon linear regression relationships.
  • Atmospheric moisture ; Climatic trend ; Fog ; Forecast ; Linear regression ; Southern United States ; United States of America ; Virginia
  • This study identifies the trends and frequency of fog events across the south-eastern United States. A simple linear regression was performed on hourly datasets for annual and seasonal fog-event days and on fog duration. The majority of Virginia
  • All-possible subsets regression ; Analyse multivariée ; Arctique ; Canada ; Ennadai Lake ; Fonction de transfert pollen-climat ; Géographie physique ; Holocène ; Long Lake ; Méthodologie ; Palynologie ; Paléoclimatologie ; Quaternaire zones froides
  • is developed with all-possible subsets regression, with due regard to the assumptions of the general linear model. Linears relationships between taxa abundances and summer temperature are specified, and multivariate outliers are removed.
  • The stochastic disturbance specification and its implications for log-linear regression
  • Solution of the linear diffusion equation for modelling erosion processes with a time varying diffusion coefficient
  • Erosion ; Geomorphology ; Linear regression ; Mathematical model ; Model ; Mountain ; Russia ; Ural Mountains
  • In an investigation of the parameter estimates from a multiple linear regression model and a multiple logit regression model, conclusions are drawn about the sensitivity of such estimates to variations in scale and zoning systems. There is strong