Parameter Estimation for Scientists and Engineers

Author:   Adriaan van den Bos (Delft University of Technology)
Publisher:   John Wiley & Sons Inc
ISBN:  

9780470147818


Pages:   288
Publication Date:   07 August 2007
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Parameter Estimation for Scientists and Engineers


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Full Product Details

Author:   Adriaan van den Bos (Delft University of Technology)
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-Interscience
Dimensions:   Width: 16.50cm , Height: 2.40cm , Length: 24.00cm
Weight:   0.606kg
ISBN:  

9780470147818


ISBN 10:   0470147814
Pages:   288
Publication Date:   07 August 2007
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Preface. 1 Introduction. 2 Parametric Models of Observations. 3 Distributions of Observations. 4 Precision and Accuracy. 5 Precise and Accurate Estimation. 6 Numerical Methods for Parameter Estimation. 7 Solutions or Partial Solutions to Problems. Appendix A: Statistical Results. Appendix B: Vectors and Matrices. Appendix C: Positive Semidefinite and Positive Definite Matrices. Appendix D: Vector and Matrix Differentiation. References. Topic Index.

Reviews

An indispensable tool for scholars and research workers in mathematics and the mathematical sciences. (Mathematical Reviews, 2009) Despite its lean size, the book is able to cover many of the techniques and theories in parameter estimation that are core to applied sciences, and so this is certainly a valuable reference for researchers and graduate students alike. The book's exposition is lucid, making it an accessible reading for someone with a reasonable background in elementary statistics. Thus I think anyone in applied sciences and engineering dealing with the implementation of expectation models and aiming to estimate model parameters will find this book helpful. This is a great addition to resources in learning or reviewing statistical tools that emphasize taking advantage of valuable information from data and improving the precision of estimation. (Technometrics, November 2008) I highly recommend this book to practitioners who want to systematically learn and use, new, better techniques for parameter estimation. (Computing Reviews, September 10, 2008) ...appropriate for students in advanced applied statistics courses...even more useful as a supplemental resource... (CHOICE, January 2008)


"“An indispensable tool for scholars and research workers in mathematics and the mathematical sciences.” (Mathematical Reviews, 2009) ""Despite its lean size, the book is able to cover many of the techniques and theories in parameter estimation that are core to applied sciences, and so this is certainly a valuable reference for researchers and graduate students alike. The book's exposition is lucid, making it an accessible reading for someone with a reasonable background in elementary statistics. Thus I think anyone in applied sciences and engineering dealing with the implementation of expectation models and aiming to estimate model parameters will find this book helpful. This is a great addition to resources in learning or reviewing statistical tools that emphasize taking advantage of valuable information from data and improving the precision of estimation."" (Technometrics, November 2008) ""I highly recommend this book to practitioners who want to systematically learn and use, new, better techniques for parameter estimation."" (Computing Reviews, September 10, 2008) ""…appropriate for students in advanced applied statistics courses…even more useful as a supplemental resource…"" (CHOICE, January 2008)"


Author Information

Adriaan van den Bos, PhD, is Professor Emeritus of the Department of Applied Physics of Delft University of Technology, The Netherlands. He carries out research in the field of statistical signal processing, parameter estimation, statistics, and application of parameter estimation to problems in applied physics, to optics and electron-optics in particular. He authored or coauthored some fifty journal papers, and his paper ""Alternative Interpretation of Maximum Entropy Spectral Analysis,"" published in IEEE Transactions on Information Theory in 1971, became an official Citation Classic. In addition to journal papers, he has contributed to a number of books. In 2000, Dr. van den Bos was elected to the grade of Fellow of the Institute of Electrical and Electronics Engineers for his fundamental work in modeling and identification and its application in instrumentation and signal processing.

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