LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "inverse gaussian" as a keyword



Local linear regression with reciprocal inverse Gaussian kernel

Sign Up to like & get
recommendations! 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 & get
recommendations! 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 & get
recommendations! 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
Photo from wikipedia

Hypothesis testing for the inverse Gaussian distribution mean based on ranked set sampling

Sign Up to like & get
recommendations! 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

Optimal time plan for accelerated degradation testing based on the inverse Gaussian process

Sign Up to like & get
recommendations! Published in 2024 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2024.2446981

Abstract: This paper addresses the optimal design problem for constant-stress accelerated degradation tests using inverse Gaussian (IG) process models. Unlike previous studies that primarily focussed on optimizing stress levels and sample sizes, this research uniquely emphasizes… read more here.

Keywords: degradation; time; optimal time; gaussian process ... See more keywords

Sequential Minimum Risk Point Estimation of the Parameters of an Inverse Gaussian Distribution

Sign Up to like & get
recommendations! 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

Inverse Gaussian Degradation Modeling and Reliability Assessment Considering Unobservable Heterogeneity

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3424979

Abstract: In response to the issue of neglecting the inherent differences in samples in the traditional degradation analysis of long-life aerospace products, a degradation modeling method combining a frailty model is proposed to quantify the unobservable… read more here.

Keywords: degradation; gaussian degradation; inverse gaussian; degradation modeling ... See more keywords

On Monitoring of the Shape Parameter of the Inverse Gaussian Distribution via Memoryless Chart Under Bayesian Setup

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3538905

Abstract: The Inverse Gaussian distribution (IGD) is a probability distribution with several applications in various fields. The proposed study is prone to consider the problem of monitoring the shape parameter of IGD using the Bayesian method.… read more here.

Keywords: distribution; shape; monitoring; inverse gaussian ... See more keywords

Adaptive CFAR Detectors for Mismatched Signal in Compound Gaussian Sea Clutter With Inverse Gaussian Texture

Sign Up to like & get
recommendations! 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 & get
recommendations! 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 & get
recommendations! 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