Results 31 to 40 of about 177,625 (277)

Maize productivity based on a distributional regression approach [PDF]

Pesquisa Agropecuária Brasileira
The objective of this work was to propose the use of traditional models based on distributional regression models to analyze maize productivity. The experiment was carried out in an alpha lattice design, with three replicates and 24 blocks.
Momate Emate Ossifo, Luiz Ricardo Nakamura, César Pedro, Joaquina da Márcia Jaime Muchico, Daniel Furtado Ferreira, João Cândido de Souza, Alex de Oliveira Ribeiro   +6 more
doaj   +1 more source

Investigating the impact of CO2 emissions on the COVID-19 pandemic by generalized linear mixed model approach with inverse Gaussian and gamma distributions

Open Chemistry, 2023
Carbon dioxide (CO2) rate within the atmosphere has been rising for decades due to human activities especially due to usage of fuel types such as coal, cement, flaring, gas, oil, etc.
İyit Neslihan, Sevim Ferhat, Kahraman Ümran Münire   +2 more
doaj   +1 more source

Use of the geometric mean as a statistic for the scale of the coupled Gaussian distributions [PDF]

, 2018
The geometric mean is shown to be an appropriate statistic for the scale of a heavy-tailed coupled Gaussian distribution or equivalently the Student's t distribution.
Kon, Mark A., Nelson, Kenric P., Umarov, Sabir R.   +2 more
core   +1 more source

The Matrix Generalized Inverse Gaussian Distribution: Properties and Applications [PDF]

, 2016
While the Matrix Generalized Inverse Gaussian ($\mathcal{MGIG}$) distribution arises naturally in some settings as a distribution over symmetric positive semi-definite matrices, certain key properties of the distribution and effective ways of sampling from the distribution have not been carefully studied. In this paper, we show that the $\mathcal{MGIG}$
Fazayeli, Farideh, Banerjee, Arindam
openaire   +2 more sources

On skewed, leptokurtic returns and pentanomial lattice option valuation via minimal entropy martingale measure

Cogent Economics & Finance, 2017
This article develops, a lattice-based approach for pricing contingent claims when parameters governing the logs of the underlying asset dynamics are modelled by generalized hyperbolic distribution and normal inverse Gaussian distribution.
Ivivi J. Mwaniki
doaj   +1 more source

Adaptive Detectors for Two Types of Subspace Targets in an Inverse Gamma Textured Background

Leida xuebao, 2017
Considering an inverse Gamma prior distribution model for texture, the adaptive detection problems for both first order Gaussian and second order Gaussian subspace targets are researched in a compound Gaussian sea clutter.
Ding Hao, Wang Guoqing, Liu Ningbo, Guan Jian   +3 more
doaj   +1 more source

INVERSE GAUSSIAN REGRESSION MODELING AND ITS APPLICATION IN NEONATAL MORTALITY CASES IN INDONESIA

Barekeng, 2022
Inverse Gaussian Regression (IGR) is a suitable model for modeling positively skewed response data, which follows the inverse Gaussian distribution. The IGR model was formed from the Generalized Linear Models (GLM).
M. Fathurahman
doaj   +1 more source

Generalization of Two-Sided Length Biased Inverse Gaussian Distributions and Applications

Symmetry, 2022
The notion of length-biased distribution can be used to develop adequate models. Length-biased distribution was known as a special case of weighted distribution. In this work, a new class of length-biased distribution, namely the two-sided length-biased inverse Gaussian distribution (TS-LBIG), was introduced.
Teerawat Simmachan, Wikanda Phaphan
openaire   +1 more source

Characterizations for the Power Inverse Gaussian and Generalized Inverse Gaussian Distributions Based on Conditional Moments [PDF]

Journal of Mathematics and Statistics, 2015
In this study, we characterize the power inverse Gaussian and generalized inverse Gaussian distributions based on recurrence relations for conditional moments in terms of hazard rate functions. Relations for conditional moments of the largest order statistic (upper record value) given the second largest order statistic (upper record value) are derived ...
openaire   +1 more source

Inverse Gaussian Quadrature and Finite Normal-Mixture Approximation of Generalized Hyperbolic Distribution [PDF]

SSRN Electronic Journal, 2018
In this study, a numerical quadrature for the generalized inverse Gaussian distribution is derived from the Gauss-Hermite quadrature by exploiting its relationship with the normal distribution. The proposed quadrature is not Gaussian, but it exactly integrates the polynomials of both positive and negative orders.
Choi, Jaehyuk, Du, Yeda, Song, Qingshuo
openaire   +2 more sources