Examples of using Linear model in English and their translations into Japanese
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Overview of the Generalized Linear Model Personality For situations such as these that fall into a wider range of data analysis problems, generalized linear models  can be applied.
XLSTAT allows computing the type I, II and III tests of the fixed effects. The principle of these tests is the same one as in the case of the linear model. Nevertheless, their calculation differs slightly.
First, you explore the relationship between X and Y to determine the appropriate link function to use in the Generalized Linear Model personality of the Fit Model  platform.
Using simple linear  regression, we want to find out how the weight of the children varies with their height, and to verify if a linear model makes sense.
This linear model describes the evolution of the estimated variables over time in response to model  initial conditions as well as known and unknown model  inputs.
A simple linear model is not sufficient to analyze control algorithms because the behavior of motors becomes more nonlinear depending on the drive conditions.
The authors then used a generalized linear model to show that the corals were more resistant to bleaching in 2017 than the year before.
XLSTAT accepts a fixed value of λ, or it can find the value that maximizes the likelihood of the residuals, the model  being a simple linear model with the time as sole explanatory variable.
For generalized linear models  other than those with a normal distribution, give a Distribution name-value pair as in Choose Generalized Linear Model and Link Function.
The waterfall method is a rigid linear model that consists of sequential phases(requirements, design, implementation, verification, maintenance) focusing on distinct goals.
Using data of the Kanagawa prefecture as a model  case, Poisson regression was performed using a generalized linear model to develop a prediction formula to find the number of hospital transport due to heat stroke.
Using the Quantile Regression, we want to find out how the weight of the children varies with their gender(a qualitative variable that takes value f or m), their height and their age, and to verify if a linear model makes sense.
In a linear model no drive occurs, so if you put a single sine wave in you get just a sine wave back out again without any harmonics being added. So in theory, given infinite precision numbers, and if you don't adjust any of the settings, both will sound identical.
Using the Analysis of Covariance(ANCOVA), we want to find out how children weight varies with their gender(a qualitative variable that takes value f or m), their height and their age, and to verify if a linear model makes sense.
For densely ionizing radiations, as from radon progeny, mechanistic and epidemiological evidence appear to lead to similar conclusions regarding the credibility of the linear model for the estimation of low-dose risk(61, 62).
There have been many discussions about the relationship between exposure and cancer risk(dose and effects). The linear model, in which the cancer probability increases in proportion to exposure even when the exposure is small, is the model  most consistent with the actual observation data, and best withstands criticism.
We will be introducing waveforms compared in the time and frequency axis using current, voltage and torque value which were logged from the PMSM actual machine provided by Mr. Tomohiro Morita from the Fuji Heavy Industries' HEV design department, HIL simulation(JMAG-RT spatial harmonics model)  with National Instruments' LabVIEW, and MIL simulation with MathWorks' Simulink JMAG-RT spatial harmonic model  and linear model.
This is an unsatisfactory result because a good model  should have an R2 value that is closer to 1. This means one of two things: Either the linear model is not suited to our problem, Or the temperature is not a sufficient variable to describe the number of moths trapped. To verify the first option, this time we will test the"nonlinear regression" in XLSTAT by choosing models  suited to our problem from among the many functions available in the tool.
The Linear Model and Spatial Extension.
The General Linear Model.