scientific article; zbMATH DE number 7794823

DOI10.57805/revstat.v21i3.414zbMath1529.62056MaRDI QIDQ6142219

Udo Kamps, Grigoriy Volovskiy

Publication date: 25 January 2024

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

Weibull distributionupper record valuesPitman closenessmaximum likelihood predictorpoint predictionmaximum observed likelihood predictor

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Parametric inference (62F99)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Maximum likelihood prediction
• Bayesian inference for the power law process
• Inference on the Weibull distribution based on record values
• Inference on the parameters of two Weibull distributions based on record values
• Maximum likelihood prediction of records from 3-parameter Weibull distribution and some approximations
• Maximum observed likelihood prediction of future record values
• Bayesian Inference and Prediction Analysis of the Power Law Process Based on a Gamma Prior Distribution
• Closure and Monotonicity Properties of Nonhomogeneous Poisson Processes and Record Values
• Confidence Interval Procedures for the Weibull Process with Applications to Reliability Growth
• Some Results on Inference for the Weibull Process
• Prediction Intervals for the Weibull Process
• Bayesian inference and prediction analysis of the power law process based on a natural conjugate prior
• Measure and probability

This page was built for publication: