| ON A LARGE SAMPLE PROBLEM IN NONLINEAR REGRESSION |
| |
| 引用本文： | 刘春玲. ON A LARGE SAMPLE PROBLEM IN NONLINEAR REGRESSION[J]. 数学物理学报(B辑英文版), 2006, 26(3): 385-394 |
| |
| 作者姓名： | 刘春玲 |
| |
| 作者单位： | School of |
| |
| 基金项目： | The author would like to thank referees for their good suggestion and also grateful to Prof. Xiru Chen for his meticulous direction and revisal. |
| |
| 摘 要： | Assume that in the nonlinear regression model, independent variable sequence {xi,i≥1} is a known constant-vector sequence. This article proposes a condition on {xi}, which can be tested and verified easily. The condition is essential for proving the consistency and asymptotic normality of the estimator
|
| 关 键 词： | 非线性衰退 大样本理论 等度连续 变量序列 |
| 收稿时间： | 2003-03-28 |
ON A LARGE SAMPLE PROBLEM IN NONLINEAR REGRESSION |
| |
| Liu Chunling. ON A LARGE SAMPLE PROBLEM IN NONLINEAR REGRESSION[J]. Acta Mathematica Scientia, 2006, 26(3): 385-394 |
| |
| Authors: | Liu Chunling |
| |
| Abstract: | Assume that in the nonlinear regression model, independent variable sequence {xi,i ≥ 1} is a known constant-vector sequence. This article proposes a condition on {xi}, which can be tested and verified easily. The condition is essential for proving the consistency and asymptotic normality of the estimator |
| |
| Keywords: | Nonlinear regression large sample theory w.p.1. equicontinuous |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
