On Bayesian shared component disease mapping and ecological regression with errors in covariates J. Zachary Roman and Holger Brandt. A latent auto-regressive approach for Bayesian structural equation modeling of spatially or socially dependent data ...
Partial Differential Equation Toolbox™ is a tool that provides functions for solving structural mechanics, heat transfer, and general partial differential equations (PDEs) using finite element analysis. ROS Toolbox is a tool that provides an interface connecting MATLAB® and Simulink® with the ...
Polynomial best subset regression (PBSRBed material loadSuspended sedimentBedload sedimentThe aim of this study is to derive a new total sediment load formula which is more accurate and which has less application constraints than the well-known formulae of the literature. 5 most known stream power...
such as syndicated point-of-sale data and companies’ internal data, to quantify the sales impact of various marketing activities. Mathematically, this is done by establishing a simultaneous relation of various marketing activities with the sales, in the form of a linear or a nonlinear equation, ...
observed data for observation i; li and Ri are parameter estimates for the mean vector and covariance matrix, respectively, and the size of which are determined by the number of variables on which a particular observation has complete data, as denoted by the subscripts i in the above equation...
The final solution for low organizational resilience can be represented by Equation (2): ~DI*~TMI*SEN + ~DI*~SEN*SEI (2) where the “*” sign represents the logical AND, and “+” is the logical OR. 4.3. Robustness Test In this study, a robustness test was also performed to ensur...
[89] is used, and the following equation defines the linear functions of L-moments: β=∫01x(F)FjdFβ=∫01x(F)FjdF (8) Here, F = F(x), the cumulative distribution function (CDF) of the random variable x; x = x(F), the inverse of the CDF, defined as a variable function;...
I'm working on modeling secondary market ticket prices for sporting events, but the issue I'm running into is that the model (a linear regression) assumes that more season ticket holders and more tickets on places like StubHub mean that the game is more desirable, and thus the tickets shou...
It also provides a logging facility. 7 Time Series ts util Components component table equation util Parsers parser Engine engine engine.gauss engine.grte engine.stub engine.mlab engine.ox This module collects all classes that are especially designed for time series analysis. There are types to ...
dummies are included with coefficients𝛽𝑣βv. To avoid colinearity problems between the APC and scoring components, the lifecycle and environment functions from the APC analysis,𝐹(𝑎)+𝐻(𝑡)F(a)+H(t)are taken as fixed inputs when creating the logistic regression model in Equation ...