Results 11 to 20 of about 505,282 (268)
Multivariate or Multivariable Regression? [PDF]
American Journal of Public Health, 2013 The terms multivariate and multivariable are often used interchangeably in the public health literature. However, these terms actually represent 2 very distinct types of analyses. We define the 2 types of analysis and assess the prevalence of use of the statistical term multivariate in a 1-year span of articles published in the American Journal of ...
Bertha, Hidalgo, Melody, Goodman
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A Metric Learning-Based Univariate Time Series Classification Method
Information, 2020 High-dimensional time series classification is a serious problem. A similarity measure based on distance is one of the methods for time series classification.
Kuiyong Song, Nianbin Wang, Hongbin Wang
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Multivariable adaptive control [PDF]
Modeling, Identification and Control, 1984 In recent years there has been an extensive interest in adaptive and self-tuning controllers, and there is a vast literature on various adaptive algorithms.
Hannu T. Toivonen
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Input saturation in nonlinear multivariable processes resolved by nonlinear decoupling [PDF]
Modeling, Identification and Control, 1995 A new method is presented for the resolution of the problem of input saturation in nonlinear multivariable process control by means of elementary nonlinear decoupling (END).
Jens G. Balchen, Bjarne Sandrib
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SSRN Electronic Journal, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jouini, Elyès +2 more
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International Journal of General Medicine, 2023 Kal Kidane,1 Zewdie Aderaw Alemu,2 Tolesa Diriba Biratu,2 Leja Hamza Juhar3 1Kidney Transplantation Center, St. Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia; 2School of Public Health, St.
Kidane K, Alemu ZA, Biratu TD, Juhar LH
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Multivariate Normalization with Symmetric Diffeomorphisms for Multivariate Studies [PDF]
, 2007 Current clinical and research neuroimaging protocols acquire images using multiple modalities, for instance, T1, T2, diffusion tensor and cerebral blood flow magnetic resonance images (MRI). These multivariate datasets provide unique and often complementary anatomical and physiological information about the subject of interest. We present a method that
Brian B. Avants +3 more
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Journal of Multivariate Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Giovanni Puccetti 0001, Marco Scarsini
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A Modified LQG Algorithm (MLQG) for Robust Control of Nonlinear Multivariable Systems [PDF]
Modeling, Identification and Control, 1993 The original LQG algorithm is often characterized for its lack of robustness. This is because in the design of the estimator (Kalman filter) the process disturbance is assumed to be white noise. If the estimator is to give good estimates, the Kalman gain
Jens G. Balchen
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Approximate multi-variable bi-Jensen-type mappings
Demonstratio Mathematica, 2023 In this study, we obtained the stability of the multi-variable bi-Jensen-type functional equation: n2fx1+⋯+xnn,y1+⋯+ynn=∑i=1n∑j=1nf(xi,yj).{n}^{2}f\left(\frac{{x}_{1}+\cdots +{x}_{n}}{n},\frac{{y}_{1}+\cdots +{y}_{n}}{n}\right)=\mathop{\sum }\limits_{i=1}
Bae Jae-Hyeong, Park Won-Gil
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