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A multivariate correlated poisson generalized inverse gaussian regression model for dependent count data: Estimation and testing procedures. [PDF]

MethodsX
Hanike Y, Purhadi, Choiruddin A.
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A global decline in atmospheric dust during the 21st century

Gupta A, Kok J, Amiridis V, Gkikas A, Rizos K, Proestakis E, Logothetis S, Marinou E, García-Pando CP.   +8 more
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Inverse Gaussian Autoregressive Models

Journal of Time Series Analysis, 1999
A first‐order autoregressive process with one‐dimensional inverse Gaussian marginals is introduced. The innovation distributions are obtained in certain special cases. The unknown parameters are estimated using different methods and these estimators are shown to be consistent and asymptotically normal.
Abraham, B., Balakrishna, N.
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Inverse Modeling

2015
This book provides a comprehensive introduction to the techniques, tools and methods for inverse problems and data assimilation, and is written at the interface between mathematics and applications for students, researchers and developers in mathematics, physics, engineering, acoustics, electromagnetics, meteorology, biology, environmental and other ...
Gen Nakamura, Roland Potthast
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Inversion charge modeling

IEEE Transactions on Electron Devices, 2001
A simple, implicit, relation for the inversion charge density in the channel of metal oxide semiconductor (MOS) transistors is presented. The relation is continuous and covers the whole operating range, from subthreshold to strong inversion. The derivative of the local inversion charge density with respect to the channel voltage is a simple expression ...
H.K. Gummel, K. Singhal
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Tracer inverse model

2021
MCMC inverse model that uses secondary gas observations and a variable emissions ratio for emissions source ...
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Inverse Design via PLS Model Inversion

Ultimately, product formulation requires being able to answer a simple question: what needs to be done in order to guarantee the desired product characteristics? The answer and how to get to it, however, is not as easy to state, and several approaches have been developed in the past to tackle it.
Daniel Palací-López, Joan Borràs-Ferrís, Pierantonio Facco, Massimiliano Barolo, Alberto Ferrer   +4 more
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