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Regression-based RTL power models for controllers
Proceedings of the 10th Great Lakes symposium on VLSI, 2000Power consumption of the controller of an RTL design, though typically smaller than that of the datapath, cannot be neglected. Controller power modeling is a more challenging task than that of datapath modules, because the controller is usually specified in an abstract fashion that has no structural relationship with its final implementation.
BENINI L +4 more
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Multiple Regression Analysis Model on Power Dispatch
Advanced Materials Research, 2012The multiple linear regression method is used, the method of calculating the active power flow and the unit output is discussed , a simple approximate expression is designed, and the corresponding error value is given. a simple calculation rules of congestion cost is given, calculation rules for the actual cost minus the theoretical costs and ...
Hua Ren Zhou +3 more
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Power approximations for failure‐time regression models
Quality and Reliability Engineering International, 2019AbstractReliability experiments determine which factors drive product reliability. Often, the reliability or lifetime data collected in these experiments tend to follow distinctly non‐normal distributions and typically include censored observations.
Thomas H. Johnson +2 more
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POWER FUNCTION FOR INVERSE GAUSSIAN REGRESSION MODELS
Communications in Statistics - Theory and Methods, 2001Inverse Gaussian regression models are useful for data where both the independent and dependent variable are nonnegative and the variance of the dependent variable depends on the independent variable. Zero intercept inverse Gaussian regression models are presented with nonconstant variance, constant ratio of variance to the mean and constant ...
Mammo Woldie +2 more
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Statistical Regression Based Power Models
2011Accurate power estimation is one of the most important ingredients for any successful design methodology in embedded system or system on chip (SoC) design. Ability to estimate power accurately and early in the design flow helps in controlling form factor, battery life and size, etc.
Sumit Ahuja +2 more
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Objective Bayesian analysis for exponential power regression models
Sankhya B, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Salazar, Esther +2 more
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Power Emulation Using a Power Model Based on Multiple Linear Regression
2020 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia), 2020Various power estimation methods with high-level hardware power model, i.e. power emulation, had been proposed to overcome the slow speed of traditional power estimation in software environment. But precise speed comparison between gate-level simulation and high-level power emulation was conducted rarely.
Hyun-Woo Chung, Joonhwan Yi
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Doubly censored power-normal regression models with inflation
TEST, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Martínez-Flórez, Guillermo +2 more
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Evaluating the predictive power of regression models
Canadian Journal of Fisheries and Aquatic Sciences, 1996Regression models are routinely developed and used in aquatic sciences for predictive purposes. Although the traditional measures of predictive power for regression models (r 2 , root mean square error) have well-defined statistical meanings, they do not necessarily provide an intuitive measure of the predictive utility of regression equations.
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Constructing power-exponential and linear-logarithmic regression models
2021When using nonlinear regression models, the estimates of the resulting dependence are often difficult or even impossible to interpret. This paper develops nonlinear regression specifications in which any estimated parameter, except the free term, can always be given some practical interpretation.
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