摘要翻譯:
對于基于獨立觀測的單樣本水平$\alpha$測試$\psi_m$,x_1,...,x_m$,如果至少有一個測試$\psi_{n},...,\psi_{n+k}$會拒絕,我們證明了該測試實際拒絕水平的漸近公式。對于$k=1$和通常水平$\alpha$的通常測試,結果大致由本文的標題概括。我們的證明方法依賴于Pfanzagl和Wefelmeyer發(fā)展的一些二階漸近統(tǒng)計量,也可能有助于正確的序列分析。在高斯檢驗的特殊情況下,對$k=1$給出了一個簡單的、初等的替代性證明。
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英文標題:
《One optional observation inflates $\alpha$ by $100/\sqrt{n}$ per cent》
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作者:
Lutz Mattner
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最新提交年份:
2009
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分類信息:
一級分類:Mathematics 數(shù)學
二級分類:Statistics Theory 統(tǒng)計理論
分類描述:Applied, computational and theoretical statistics: e.g. statistical inference, regression, time series, multivariate analysis, data analysis, Markov chain Monte Carlo, design of experiments, case studies
應用統(tǒng)計、計算統(tǒng)計和理論統(tǒng)計:例如統(tǒng)計推斷、回歸、時間序列、多元分析、數(shù)據(jù)分析、馬爾可夫鏈蒙特卡羅、實驗設計、案例研究
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一級分類:Statistics 統(tǒng)計學
二級分類:Statistics Theory 統(tǒng)計理論
分類描述:stat.TH is an alias for math.ST. Asymptotics, Bayesian Inference, Decision Theory, Estimation, Foundations, Inference, Testing.
Stat.Th是Math.St的別名。漸近,貝葉斯推論,決策理論,估計,基礎,推論,檢驗。
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英文摘要:
For one-sample level $\alpha$ tests $\psi_m$ based on independent observations $X_1,...,X_m$, we prove an asymptotic formula for the actual level of the test rejecting if at least one of the tests $\psi_{n},...,\psi_{n+k}$ would reject. For $k=1$ and usual tests at usual levels $\alpha$, the result is approximately summarized by the title of this paper. Our method of proof, relying on some second order asymptotic statistics as developed by Pfanzagl and Wefelmeyer, might also be useful for proper sequential analysis. A simple and elementary alternative proof is given for $k=1$ in the special case of the Gauss test.
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PDF鏈接:
https://arxiv.org/pdf/710.5154