Quadratic Negligibility and the Asymptot
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R.A. Maller
📂
Article
📅
1993
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Elsevier Science
🌐
English
⚖ 711 KB
The condition \(\max _{1 \leqslant i \leqslant n} X_{i}^{\top} V_{n}{ }^{1} X_{i} \xrightarrow{p} 0\), where \(X_{i}\) are vectors in \(R^{d}\) and \(V_{n}=\sum_{i=1}^{n} X_{i} X_{i}^{\mathrm{\top}}\), is important in the asymptotics of various linear and nonlinear regression models. We call it "qua