<p>Multiple regression model summaries and regression coefficients of the significant climate variables for period 3/3S (1962–2010) when local sunshine and precipitation were considered as variables in addition to national temperature models in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0069015#pone-0069015-t002" target="_blank">Table 2</a>.</p
These climate variables also were estimated for the dry and warm season of March-May. The first thre...
<p>Regression/canonical coefficients for ombrotype (IO_c71), continentality (IC_C71), and thermotype...
To unmask the anthropogenic global warming trend imbedded in the climate data, multiple linear re-gr...
<p>Multiple regression model summaries and regression coefficients of the significant climate variab...
Regression analysis is very useful when it comes to study the relationship between variables. Regres...
<p>A: Winter NAO index; B: Spring NAO index; C: Sea Surface Temperature (°C). Fitted linear regressi...
<p>Multiple regression models calculated from sets of correlation coefficients from the 63 sites in ...
<p>Results of the multiple regression models by bioclimatic region: Standardized coefficients and st...
<p>Summary results of a GLM - multiple regression analysis, testing the relationship between indepen...
<p>Descriptive statistics of climate variables: Annual mean; coefficient of variation of annual mean...
<p>Significant parameters (p<0.05) are indicated with an asterisk (*).</p>†<p>Synchronous model.</p>...
We performed linear multivariate regression analysis using available estimates of natural and anthro...
a<p>Temperature means for 1961–2012; PDO and DMI were annual means for 1960–2011.</p>b<p>Mean value ...
Tables showing climatic factors influencing the INDVI in May, the maximum NDVI increase and the aver...
<p>Percentage of variance explained in the models (see Methods for details) by each climate variable...
These climate variables also were estimated for the dry and warm season of March-May. The first thre...
<p>Regression/canonical coefficients for ombrotype (IO_c71), continentality (IC_C71), and thermotype...
To unmask the anthropogenic global warming trend imbedded in the climate data, multiple linear re-gr...
<p>Multiple regression model summaries and regression coefficients of the significant climate variab...
Regression analysis is very useful when it comes to study the relationship between variables. Regres...
<p>A: Winter NAO index; B: Spring NAO index; C: Sea Surface Temperature (°C). Fitted linear regressi...
<p>Multiple regression models calculated from sets of correlation coefficients from the 63 sites in ...
<p>Results of the multiple regression models by bioclimatic region: Standardized coefficients and st...
<p>Summary results of a GLM - multiple regression analysis, testing the relationship between indepen...
<p>Descriptive statistics of climate variables: Annual mean; coefficient of variation of annual mean...
<p>Significant parameters (p<0.05) are indicated with an asterisk (*).</p>†<p>Synchronous model.</p>...
We performed linear multivariate regression analysis using available estimates of natural and anthro...
a<p>Temperature means for 1961–2012; PDO and DMI were annual means for 1960–2011.</p>b<p>Mean value ...
Tables showing climatic factors influencing the INDVI in May, the maximum NDVI increase and the aver...
<p>Percentage of variance explained in the models (see Methods for details) by each climate variable...
These climate variables also were estimated for the dry and warm season of March-May. The first thre...
<p>Regression/canonical coefficients for ombrotype (IO_c71), continentality (IC_C71), and thermotype...
To unmask the anthropogenic global warming trend imbedded in the climate data, multiple linear re-gr...