نتایج جستجو برای: model error
تعداد نتایج: 2280731 فیلتر نتایج به سال:
This study evaluates the performance of the linear first-order Volterra model for simulating nonlinear rainfall-runoff process. For this end, fifteen storm events over the Navrood River basin were collected. 70% and 30% of the events were used to calibrate and test the suitability of the model. Finally, the performance of the model was compared with the artificial neural networks (multilayer pe...
in this study, the longitudinal shrinkage behavior of knitted fabrics during drying has been studied. in this context, a model is presented to predict the longitudinal shrinkage of plain knitted fabric during drying process. in order to model the shrinkage behavior, a 1dof model consists of a mass, a linear spring and a linear damper have been used. in presented model the time-varying mass is c...
over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...
An accurate calibration of inertial measurement unit errors is increasingly important as the inertial navigation system requirements become more stringent. Developing calibration methods that use as less as possible of IMU signals has 6-DOF gimballed IMU in space-stabilized mode is presented. It is considered as held stationary in the test location incorporating 15 di...
Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
The two-parameter logistic (2PL) item response model is likely the most frequently applied for analyzing dichotomous data. Linking errors quantify variability in means or standard deviations due to choice of items. Previous research presented analytical work linking one-parameter model. In this article, we present 2PL using general theory M-estimation. are derived case log-mean-mean two groups....
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