Results 241 to 250 of about 7,341,072 (293)
Some of the next articles are maybe not open access.
INFOR: Information Systems and Operational Research, 1971
AbstractThe paper describes research work carried out in Czechoslovakia concerning the location and size of mills, with particular reference to the lumber industry. Two models are presented, the first being a relatively simple linear model (a generalization of an algorithm for solving the standard transportation problem), and the second a more ...
openaire +2 more sources
AbstractThe paper describes research work carried out in Czechoslovakia concerning the location and size of mills, with particular reference to the lumber industry. Two models are presented, the first being a relatively simple linear model (a generalization of an algorithm for solving the standard transportation problem), and the second a more ...
openaire +2 more sources
2014
Chapter Preview . We give a general discussion of linear mixed models and continue by illustrating specific actuarial applications of this type of model. Technical details on linear mixed models follow: model assumptions, specifications, estimation techniques, and methods of inference.
Antonio, K., Zhang, Y.
openaire +2 more sources
Chapter Preview . We give a general discussion of linear mixed models and continue by illustrating specific actuarial applications of this type of model. Technical details on linear mixed models follow: model assumptions, specifications, estimation techniques, and methods of inference.
Antonio, K., Zhang, Y.
openaire +2 more sources
Physical Review E, 2003
We study the time-dependent and the stationary properties of the linear Glauber model in a d-dimensional hypercubic lattice. This model is equivalent to the voter model with noise. By using the Green function method, we get exact results for the two-point correlations from which the critical behavior is obtained.
openaire +2 more sources
We study the time-dependent and the stationary properties of the linear Glauber model in a d-dimensional hypercubic lattice. This model is equivalent to the voter model with noise. By using the Green function method, we get exact results for the two-point correlations from which the critical behavior is obtained.
openaire +2 more sources
Regression and the Linear Model
1981A key feature in most statistical analyses is a statistical model and it will be helpful to look at examples of some simple models, and then discuss some terminology.
openaire +1 more source
1981
In Chapter 3 and 4 the method of maximum likelihood was introduced as a general method by which a model could be fitted to data. In Chapter 5 we specialized by restricting ourselves to normally distributed random variables, and to cases where the model is linear in the unknown parameters.
openaire +1 more source
In Chapter 3 and 4 the method of maximum likelihood was introduced as a general method by which a model could be fitted to data. In Chapter 5 we specialized by restricting ourselves to normally distributed random variables, and to cases where the model is linear in the unknown parameters.
openaire +1 more source
American Journal of Orthodontics and Dentofacial Orthopedics, 2023
Tomasz Burzykowski +3 more
openaire +2 more sources
Tomasz Burzykowski +3 more
openaire +2 more sources
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