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Synopsis
This book explores the principles of nonlinear least squares regression — a form of statistical analysis that allows for the modeling of variables that do not follow a linear path. The author provides a detailed exposition of the techniques and algorithms used to solve nonlinear least squares problems and discusses several methods for both approximating and checking the derivatives of the model with respect to each parameter. The author emphasizes practical considerations and provides detailed guidance on coding and using STARPAC, a library of Fortran subroutines for statistical data analysis. Through worked examples, the author illustrates how to select optimal step sizes for approximating the derivatives numerically, how to numerically verify the correctness of user-supplied derivatives, and how to handle problems that arise from the singularity of the model or from false convergence. This book is written to be accessible to anyone with a working knowledge of the basics of linear least squares analysis, and is a valuable resource for statisticians, engineers, and scientists who need to analyze nonlinear data.
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Nonlinear Least Squares Regression Using Starpac (Classic Reprint)
Print on DemandSeller: Forgotten Books, London, United Kingdom
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Paperback. Condition: New. Print on Demand. This book explores the principles of nonlinear least squares regression â" a form of statistical analysis that allows for the modeling of variables that do not follow a linear path. The author provides a detailed exposition of the techniques and algorithms used to solve nonlinear least squares problems and discusses several methods for both approximating and checking the derivatives of the model with respect to each parameter. The author emphasizes practical considerations and provides detailed guidance on coding and using STARPAC, a library of Fortran subroutines for statistical data analysis. Through worked examples, the author illustrates how to select optimal step sizes for approximating the derivatives numerically, how to numerically verify the correctness of user-supplied derivatives, and how to handle problems that arise from the singularity of the model or from false convergence. This book is written to be accessible to anyone with a working knowledge of the basics of linear least squares analysis, and is a valuable resource for statisticians, engineers, and scientists who need to analyze nonlinear data. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9780260613547_0
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Nonlinear Least Squares Regression Using Starpac The Standards Time Series and Regression Package Classic Reprint
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9780260613547
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Nonlinear Least Squares Regression Using Starpac The Standards Time Series and Regression Package Classic Reprint
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9780260613547
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