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On Formulas for the Distribution of Nonlinear L.S. Estimates

 

作者: A. PÁZMAN,  

 

期刊: Statistics  （Taylor Available online 1987）
卷期: Volume 18, issue 1  

页码: 3-15

 

ISSN:0233-1888

 

年代: 1987

 

DOI:10.1080/02331888708801983

 

出版商: Akademie-Verlag

 

关键词: Primary 62 J 02;Secondary 62 E 15;62 F 11;Nonlinear regression;least squares;differential geometry in statistics;probability density of estimates;formation matrix.

 

数据来源: Taylor

 

摘要:

Explicit formulas approximating the density of the least squares estimates in the gaussian nonlinear regression aer discussed. A new, simpler proof is presented for the formula given in A. PÁZMAN [6], and the terms evaluating the difference between the true and the approximative formulas are corrected. The presented investigation is nonasymptotic (i.e. for a fixed sample size).

 

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