Bootstrap rank tests for trend in time series
From MaRDI portal
Publication:6179523
DOI10.1002/env.2250zbMath1525.62084MaRDI QIDQ6179523
Y. Zhang, Unnamed Author, Paul Cabilio
Publication date: 18 December 2023
Published in: Environmetrics (Search for Journal in Brave)
Kendall's tauhydrologyblock bootstrapsieve bootstrapstationary ARMA processMann-Kendall testweakly dependent observations
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Cites Work
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- On the range of validity of the autoregressive sieve bootstrap
- Basic properties of strong mixing conditions. A survey and some open questions
- Central limit theorem and the bootstrap for \(U\)-statistics of strongly mixing data
- Mixing properties of ARMA processes
- Sieve bootstrap for time series
- Theoretical comparisons of block bootstrap methods
- The jackknife and the bootstrap for general stationary observations
- Bootstraps for time series
- Bias of some commonly-used time series estimates
- Computer Algebra Derivation of the Bias of Linear Estimators of Autoregressive Models
- Properties of the Sieve Bootstrap for Fractionally Integrated and Non-Invertible Processes
- Limiting behavior of U-statistics for stationary, absolutely regular processes
- Bootstrap Confidence Regions Computed from Autoregressions of Arbitrary Order
- On blocking rules for the bootstrap with dependent data
- Rank correlation methods for missing data
- Some Non-Parametric Tests for m-Dependent Time Series
- Estimates of the Regression Coefficient Based on Kendall's Tau
- Effect of Dependence on the Level of Some One-Sample Tests
- On the Properties of U-Statistics when the Observations are not Independent
- A NEW MEASURE OF RANK CORRELATION
- A Class of Statistics with Asymptotically Normal Distribution
- Nonparametric Tests Against Trend
- The impact of bootstrap methods on time series analysis
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