Add to ORKGSimple linear regression - multiple linear regression - nonlinear regression - design and analysis of single-factor studies - multi-factor studies - specialized study designs - appendixe
This chapter deals with the multiple linear regression. That is we investigate the situation where t...
‘A statistical analysis, properly conducted, is a delicate dissection of uncertainties, a surgery of...
<p>Results of the linear multiple regression analyses showing the averaged standardized (beta) and u...
Regression is the branch of Statistics in which a dependent variable of interest is modelled as a li...
Regression analysis is a widely used statistical technique to build a model from a set of data on tw...
Linear regression is a statistical procedure for calculating the value of a dependent variable from ...
A table showing hierarchical multiple linear regression models examining factors influencing of nati...
• Simple Linear Regression (introduced in Ch. 7) – Fit a linear model relating the value of an depen...
Information about multivariate adaptive regression splines (MARS) and methods used in model developm...
Regression analysis is an important statistical tool for analyzing the relationships between depende...
<p>Selected p-values describing significant measures associated with conversion status from secondar...
<p>Linear (multiple regression), all 2-way interactions model and non linear (MLP) models summary.</...
A table showing hierarchical multiple linear regression models examining factors influencing of nati...
This chapter provides a brief and basic introduction to regression techniques and to the use of seve...
Concise, mathematically clear, and comprehensive treatment of the subject.* Expanded coverage of dia...
This chapter deals with the multiple linear regression. That is we investigate the situation where t...
‘A statistical analysis, properly conducted, is a delicate dissection of uncertainties, a surgery of...
<p>Results of the linear multiple regression analyses showing the averaged standardized (beta) and u...
Regression is the branch of Statistics in which a dependent variable of interest is modelled as a li...
Regression analysis is a widely used statistical technique to build a model from a set of data on tw...
Linear regression is a statistical procedure for calculating the value of a dependent variable from ...
A table showing hierarchical multiple linear regression models examining factors influencing of nati...
• Simple Linear Regression (introduced in Ch. 7) – Fit a linear model relating the value of an depen...
Information about multivariate adaptive regression splines (MARS) and methods used in model developm...
Regression analysis is an important statistical tool for analyzing the relationships between depende...
<p>Selected p-values describing significant measures associated with conversion status from secondar...
<p>Linear (multiple regression), all 2-way interactions model and non linear (MLP) models summary.</...
A table showing hierarchical multiple linear regression models examining factors influencing of nati...
This chapter provides a brief and basic introduction to regression techniques and to the use of seve...
Concise, mathematically clear, and comprehensive treatment of the subject.* Expanded coverage of dia...
This chapter deals with the multiple linear regression. That is we investigate the situation where t...
‘A statistical analysis, properly conducted, is a delicate dissection of uncertainties, a surgery of...
<p>Results of the linear multiple regression analyses showing the averaged standardized (beta) and u...