Beta approximation and its applications
From MaRDI portal
Publication:5107773
DOI10.1080/00949655.2020.1722669OpenAlexW3004949560MaRDI QIDQ5107773
Shu Ding, Yuehua Wu, Xiao Ping Shi
Publication date: 28 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2020.1722669
sufficient conditionschange-pointdivergence measureRayleigh approximationbeta approximationempirical saddlepoint approximationGumbel approximation
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A sequential multiple change-point detection procedure via VIF regression
- Hierarchical clustering via joint between-within distances: extending Ward's minimum variance method
- The maximum likelihood method for testing changes in the parameters of normal observations
- A novel and fast methodology for simultaneous multiple structural break estimation and variable selection for nonstationary time series models
- Approximating the distribution of the maximum partial sum of normal deviates
- Beta approximation to the distribution of Kolmogorov-Smirnov statistic
- Parametric Statistical Change Point Analysis
- A test for a change in a parameter occurring at an unknown point
- The Mean and Variance of the Maximum of the Adjusted Partial Sums of a Finite Number of Independent Normal Variates
- Saddlepoint Approximations with Applications
- Tests for a change-point
- On the empirical saddlepoint approximation
- Saddle point approximation for the distribution of the sum of independent random variables
- The problem of the Nile: Conditional solution to a changepoint problem
- A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data
- Testing for Change Points in Time Series
- Mean loglikelihood and higher-order approximations
- Handbook of Statistical Distributions with Applications
- Consistent two‐stage multiple change‐point detection in linear models
- Saddlepoint Approximations in Statistics
This page was built for publication: Beta approximation and its applications