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Note sur l'estimation de courbes bimodales

Application of the regression method, described in a precedent number of the same review, to simulated data which follow a bimodal distribution| this method simultaneously uses factor analysis and constrained regression to estimate the underlying

Regresný model priemernej ročnej odtokovej výšky pre územie Slovenska

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)

Geograficky vážená regrese : metoda analýzy prostorové nestacionarity geografických jevů

Czech Republic ; Election ; Political geography ; Quantitative analysis ; Regression analysis ; Spatial analysis
The article deals with one of the new quantitative method used in geography, geographically weighted regression (GWR). Using the GWR technique to study voting behaviour in Czechia in the parliamentary election in 2002, it is evident
that there is a significant difference between the linear regression and GWR models. The examples highlight the relevance and usefulness of GWR and show how it can improve geographical research and potentially also our understanding of geographical processes. - (EN)

Misuse of R2 values from linear regression in fractal analysis

Misuse of R2 values from linear regression in fractal analysis
Fractal geometry ; Geomorphology ; Lava flow ; Methodology ; Regression analysis ; Slope gradient ; Statistics

Moznosti regrenej analyzy a Fouriérovych radov pri studiu rezimu podzemnych vôd na priklade casti Vychodoslovenskej niziny. (Possibilities of regression analysis and Fourier series in the study of underground waters regime on the example of a part of the East Slovakian Lowland)

Moznosti regrenej analyzy a Fouriérovych radov pri studiu rezimu podzemnych vôd na priklade casti Vychodoslovenskej niziny. (Possibilities of regression analysis and Fourier series in the study of underground waters regime on the example of a part
Mathematical generalization of the regime of underground waters in a part of the East slovakian Lowland by means of regression analysis and Fourier series. (MS).

A general framework for estimation and inference of geographically weighted regression models : 2. Spatial association and model specification tests

A general framework for estimation and inference of geographically weighted regression models : 2. Spatial association and model specification tests
Error ; Matrix analysis ; Model ; Regression analysis ; Spatial analysis ; Spatial autocorrelation ; Statistics ; Test

A regression evaluation of thermal continentality

A regression evaluation of thermal continentality
Climatology ; Continentality ; Europe ; Latitude ; Regression analysis ; Spatial distribution ; Temperature
temperature means and considers the influence of latitude in the Earth’s temperature distribution. The regression function was selected to best reflect the dependence of annual temperature mean on latitude. Several possible indices are evaluated. - (EN)

Application of ridge regression analysis to water resources studies

Application of ridge regression analysis to water resources studies
Analyse multivariée ; Estimation ; Etats-Unis ; Fiabilité ; Florida ; Géographie physique ; Lac ; Méthode des moindres carrés ; Okeechobee, lac ; Ridge regression ; Régression multiple ; Rétention de l'eau ; Statistique
La ridge regression a été introduite pour résoudre des problèmes de multicolinéarité dans la régression multiple. Le calcul de stockage de l'eau du lac Okeechobee, Floride sert d'exemple pour présenter la technique et ses applications. Comparaison
de la performance de cette méthode par rapport à celle obtenue par la technique des moindres carrés. Les résultats de la ridge regression montre que l'écart par rapport aux mesures de stockage n'est pas seulement affecté par les apports en eau (comme

A new perspective about Moran's coefficient : spatial autocorrelation as a linear regression problem

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
and also the inefficiency of this index in some situations. New statistics and procedures are proposed for testing spatial autocorrelation, and a simulation study is conducted. The real data set concerns the analysis of mosquito counts in the urban area

Ridge regression and ordinary least squares analysis of the population age structure of Uttar Pradesh

Ridge regression and ordinary least squares analysis of the population age structure of Uttar Pradesh

The importance of scale in measuring the secondary effects in regression analysis

The importance of scale in measuring the secondary effects in regression analysis

The interface between the types of regression and methods of collecting data in Proximity and preference. Problems in the multidimensional analysis of large data sets.

The interface between the types of regression and methods of collecting data in Proximity and preference. Problems in the multidimensional analysis of large data sets.

Analysis of covariance and comparison of regression lines.

Analysis of covariance and comparison of regression lines.

Regression and correlation analysis in Pollution and water resources. Hydrogeology and other selected reports..

Regression and correlation analysis in Pollution and water resources. Hydrogeology and other selected reports..

Predicting urbanization level by main element analysis and multiple linear regression - taking Xiantao district in Hubei Province as an example

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

Exploring the relations between riverbank erosion and geomorphological controls using geographically weighted logistic regression

Exploring the relations between riverbank erosion and geomorphological controls using geographically weighted logistic regression
Bank erosion ; Environmental management ; Erosion control ; Fluvial dynamics ; Historical geography ; Meander ; Model ; Regression analysis ; Riparian vegetation ; Spatial analysis ; Stream ; Twentieth Century ; United Kingdom ; Wales
A method for the analysis of spatial variation in the relations between bank erosion and its controlling factors is presented that incorporates non-stationary parameters and categorical data. This method is termed geographically weighted logistic
regression (GWLR). The objective of this paper is to apply GWLR to model the spatial variation in the relation between erosion (presence or absence) and several controlling variables for the Afon Dyfi in West Wales. The practical implication of the result

Multicollinearity and parameter estimation in simultaneous-equation models of fluvial systems

Geomorphology ; Hydrology ; Matrix analysis ; Model ; Regression analysis ; Statistics
This study demonstrates that the utility of simultaneous-equation analysis is limited for fluvial systems by inherent multicollinearity among hydrologic and morphologic variables.

Geographical analysis of the industrial economic return of Chinese cities

Geographical analysis of the industrial economic return of Chinese cities
China ; City size ; Factor of production ; Labour productivity ; Regression analysis ; Urban development ; Urban economy ; Urban industry
A city's industrial economic return is correlated with its size. Many other factors have important impacts on returns from urban economic activity. The results of regression analysis indicate that industrial investment and industrial mix are the two

Quantitative relationships between uplift and relief parameters for the Southern Alps, New Zealand, as determined by fission track analysis

Quantitative relationships between uplift and relief parameters for the Southern Alps, New Zealand, as determined by fission track analysis
Cenozoic ; Geomorphology ; Lithology ; Mountain ; New Zealand ; Plate tectonics ; Regression analysis ; South Island ; Tectonics ; Vertical movement
In this paper the AA. quantify the relationship between the uplift and geomorphology of the S. Alps, by using regression analysis of empirical data sets. They study the point to point bivariate association between uplift and geomorphology, which

Regression estimates of design flows for ungaged sites using bankfull geometry and flashiness

Regression estimates of design flows for ungaged sites using bankfull geometry and flashiness
Channel geometry ; Minnesota ; North Dakota ; Regression analysis ; Stream ; Stream flow ; United States of America ; Watershed
Bankfull geometry data at 22 United States Geological Survey stream flow gaging sites in the Red River Basin of Minnesota and North Dakota were used for developing regression estimates of flows of different return periods. Regression equations were
variable in both bankfull geometry and basin characteristics regressions. The bankfull geometry data produced slightly better regression equations than the basin characteristics data. The bankfull geometry regressions will be useful to predict design flows

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