Results 171 to 180 of about 114,148 (217)
Some of the next articles are maybe not open access.
2008
A partially linear model requires the regression function to be a linear function of a subset of the variables and a nonparametric non-specified function of the rest of the variables. Suppose, for example, that one is interested in estimating the relationship between an outcome variable of interest y and a vector of variables (x, z).
openaire +1 more source
A partially linear model requires the regression function to be a linear function of a subset of the variables and a nonparametric non-specified function of the rest of the variables. Suppose, for example, that one is interested in estimating the relationship between an outcome variable of interest y and a vector of variables (x, z).
openaire +1 more source
Linear and Non-linear Modeling
2011This chapter describes some of the tools that are available in R for fitting certain kinds of conditional distributions; that is, constructing models to predict the behavior of one random variable given that the value of another one or more is known. Examples of such models in forestry include height-diameter models, diameter-volume models, and so on ...
Andrew P. Robinson, Jeff D. Hamann
openaire +1 more source
2005
A large amount of data collected in the social sciences are counts crossclassified into categories. These counts are non-negative integers and require special methods of analysis to model appropriately; log-linear models are one sophisticated method. The counts are modeled by the Poisson distribution, and related to the classifying variables through a ...
openaire +1 more source
A large amount of data collected in the social sciences are counts crossclassified into categories. These counts are non-negative integers and require special methods of analysis to model appropriately; log-linear models are one sophisticated method. The counts are modeled by the Poisson distribution, and related to the classifying variables through a ...
openaire +1 more source
Journal of the American Statistical Association, 2000
(2000). Linear and Log-Linear Models. Journal of the American Statistical Association: Vol. 95, No. 452, pp. 1290-1293.
openaire +1 more source
(2000). Linear and Log-Linear Models. Journal of the American Statistical Association: Vol. 95, No. 452, pp. 1290-1293.
openaire +1 more source