Application of Hyperbolic Secant Distributions

Article Properties
Citations
Title Journal Journal Categories Citations Publication Date
A nonparametric Bayesian model for system identification based on a superā€Gaussian distribution

Electronics and Communications in Japan
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2019
Increasing Hazard Rate of Mixtures for Natural Exponential Families

Advances in Applied Probability
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
2012
Increasing Hazard Rate of Mixtures for Natural Exponential Families

Advances in Applied Probability
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
1 2012
Citations Analysis
The category Science: Mathematics: Probabilities. Mathematical statistics 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Increasing Hazard Rate of Mixtures for Natural Exponential Families and was published in 2012. The most recent citation comes from a 2019 study titled A nonparametric Bayesian model for system identification based on a superā€Gaussian distribution. This article reached its peak citation in 2012, with 2 citations. It has been cited in 2 different journals. Among related journals, the Advances in Applied Probability cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year