Results 31 to 40 of about 433,236 (198)
The Generalized STAR Modeling with Heteroscedastic Effects
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2022 In general, the Generalized Space Time Autoregressive (GSTAR) model of space-time assumes constant error variance. In this study, a GSTAR model was built with an error variance that was not constant or had a heteroscedasticity effect, namely the ...
Utriweni Mukhaiyar, Syahri Ramadhani
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Journal of Applied Mathematics, 2014 Using the Kronecker product of matrices, the Moore-Penrose generalized inverse, and the complex representation of quaternion matrices, we derive the expressions of least squares solution with the least norm, least squares pure imaginary solution with the
Shi-Fang Yuan
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Abstract and Applied Analysis, 2014 The solvability conditions and the general expression of the generalized bisymmetric and bi-skew-symmetric solutions of a class of matrix equations (AX=B, XC=D) are established, respectively.
Yifen Ke, Changfeng Ma
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Proposed Method for Statistical Analysis of On-Farm Single Strip Treatment Trials
Agronomy, 2021 On-farm experimentation (OFE) allows farmers to improve crop management over time. The randomized complete blocks design (RCBD) with field-length strips as individual plots is commonly used, but it requires advanced planning and has limited statistical ...
Jason B. Cho +6 more
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Count data models with variance of unknown form: an application to a hedonic model of worker absenteeism [PDF]
, 1994 We examined an econometric model of counts of worker absences due to illness. The underlying theoretical model is of a sluggishly adjusting hedonic labor market.
Delgado, Miguel A., Kniesner, Thomas J.
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Qubahan Academic Journal, 2021 In this research we discusses to Ordinary Least Squares and Generalized Least Squares techniques and estimate with First Order Autoregressive scheme from different correlation levels by using simple linear regression model.
Sajid AliKhan +3 more
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On the additivity of preference aggregation methods [PDF]
, 2015 The paper reviews some axioms of additivity concerning ranking methods used for generalized tournaments with possible missing values and multiple comparisons.
Csató, László
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Generalized least squares innovation representation
Mathematical and Computer Modelling, 1988 The paper gives a unified approach to the stochastic realization problem of finite dimensional discrete-time stochastic systems. If y(t)\(\in R\) m is a discrete weakly stationary stochastic process, then using different bases in the spaces of its future - generated by y(0), y(1),... and its past - generated by y(-1), y(-2),...
Bencsik, I., Michaletzky, Gy.
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Least Squares Generative Adversarial Networks [PDF]
2017 IEEE International Conference on Computer Vision (ICCV), 2017 Unsupervised learning with generative adversarial networks (GANs) has proven hugely successful. Regular GANs hypothesize the discriminator as a classifier with the sigmoid cross entropy loss function. However, we found that this loss function may lead to the vanishing gradients problem during the learning process. To overcome such a problem, we propose
Mao, Xudong +5 more
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Model-based Boosting in R: A Hands-on Tutorial Using the R Package mboost [PDF]
, 2012 We provide a detailed hands-on tutorial for the R add-on package mboost. The package implements boosting for optimizing general risk functions utilizing component-wise (penalized) least squares estimates as base-learners for fitting various kinds of ...
Hofner, Benjamin +3 more
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