Local linear regression with reciprocal inverse Gaussian kernel
Sign Up to like & getrecommendations! Published in 2019 at "Metrika"
DOI: 10.1007/s00184-019-00717-6
Abstract: In this paper, we propose a local linear estimator for the regression model $$Y=m(X)+\varepsilon $$Y=m(X)+ε based on the reciprocal inverse Gaussian kernel when the design variable is supported on $$(0,\infty )$$(0,∞). The conditional mean-squared error… read more here.
Keywords: regression; inverse gaussian; estimator; local linear ... See more keywords
Estimation of methane emission from an urban wastewater treatment plant applying inverse Gaussian model
Sign Up to like & getrecommendations! Published in 2021 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-021-09660-4
Abstract: The methane (CH4) emissions from urban sources are increasing, and they depend on the processes and technologies applied in each one. Thus, studying them individually to quantify their emissions and understand their behavior to design… read more here.
Keywords: emission; methodology; gaussian model; inverse gaussian ... See more keywords
Inverse Gaussian versus lognormal distribution in earthquake forecasting: keys and clues
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Seismology"
DOI: 10.1007/s10950-019-09822-5
Abstract: In earthquake fault systems, active faults release elastic strain energy in a near-repetitive manner. Earthquake forecasting that basically refers to the assessment of earthquake hazards via probability estimates is crucial for many strategic and engineering… read more here.
Keywords: seismology; earthquake forecasting; inverse gaussian; lognormal distribution ... See more keywords
Hypothesis testing for the inverse Gaussian distribution mean based on ranked set sampling
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2020.1777294
Abstract: ABSTRACT In this study, the hypothesis test for the population mean of inverse Gaussian distribution using ranked set sampling is considered when the scale parameter is both known and unknown. In order to obtain critical… read more here.
Keywords: inverse gaussian; set sampling; hypothesis; gaussian distribution ... See more keywords
Sequential Minimum Risk Point Estimation of the Parameters of an Inverse Gaussian Distribution
Sign Up to like & getrecommendations! Published in 2019 at "American Journal of Mathematical and Management Sciences"
DOI: 10.1080/01966324.2019.1570883
Abstract: SYNOPTIC ABSTRACT In the first part of this article, a minimum risk estimation procedure is developed for estimating the mean μ of an inverse Gaussian distribution having an unknown scale parameter λ. A weighted squared-error… read more here.
Keywords: estimation; risk; inverse gaussian; gaussian distribution ... See more keywords
Adaptive CFAR Detectors for Mismatched Signal in Compound Gaussian Sea Clutter With Inverse Gaussian Texture
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3047390
Abstract: This letter deals with the adaptive detection problem in compound Gaussian sea clutter with inverse Gaussian texture when the mismatched signal occurs. In order to reject the mismatched signal, we introduce a fictitious signal to… read more here.
Keywords: inverse gaussian; compound gaussian; sea; mismatched signal ... See more keywords
Polarimetric Target Detection in Compound Gaussian Sea Clutter With Inverse Gaussian Texture
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3140057
Abstract: This letter addresses the polarimetric target detection problem in compound Gaussian sea clutter. In view of the heavy-tailed characteristic of sea clutter, we model the sea clutter as compound Gaussian distribution with inverse Gaussian texture… read more here.
Keywords: inverse gaussian; clutter; compound gaussian; sea clutter ... See more keywords
Capacity per Unit Cost-Achieving Input Distribution of Rated-Inverse Gaussian Biological Neuron
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2022.3168704
Abstract: Maximizing the information per the expected unit energy cost in biological neurons is vital in understanding the functionality of our nervous system and improving the bio-inspired nano-networks. Hence, toward a better comprehension of neuronal information… read more here.
Keywords: capacity; cost; energy; inverse gaussian ... See more keywords
Inverse Gaussian–based model with measurement errors for degradation analysis
Sign Up to like & getrecommendations! Published in 2019 at "Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability"
DOI: 10.1177/1748006x19860682
Abstract: To build more credible degradation models, it is necessary to consider measurement errors in degradation analysis. This article proposes an inverse Gaussian-based state space model with measurement errors that can capture the unit-to-unit variability of… read more here.
Keywords: degradation analysis; errors degradation; inverse gaussian; measurement errors ... See more keywords
Estimation for inverse Gaussian distribution under first-failure progressive hybird censored samples
Sign Up to like & getrecommendations! Published in 2017 at "Filomat"
DOI: 10.2298/fil1718743j
Abstract: In this paper, a first-failure progressive hybird censoring scheme is introduced that combines progressive first-failure censoring and Type-I censoring. We obtain the maximum likelihood estimators (MLEs) and the Bayes estimators of the unknown parameters from… read more here.
Keywords: first failure; inverse gaussian; failure progressive; failure ... See more keywords