Statistical Modeling by Wavelets
|Rating||:||4.67 (561 Votes)|
|Number of Pages||:||408 Pages|
Accessible to anyone with a background in advanced calculus and algebra, Statistical Modeling by Wavelets promises to become the standard reference for statisticians and engineers seeking a comprehensive introduction to an emerging field.. Both introductory and data-oriented modeling topics are featured, including: * Continuous and discrete wavelet transformations. What are wavelets? What makes them increasingly indispensable in statistical nonparametrics? Why are they suitable for "time-scale" applications? How are they used to solve such problems as denoising, regression, or density estimation? Where can one find up-to-date information on these newly "discovered" mathemati
. BRANI VIDAKOVIC, PhD, is Assistant Professor at the Institute of Statistics and Decision Sciences at Duke University
19, No. 42, No. 1) "It is clearly an important and valuable addition to the area and deserves to be widely known and used" (Statistics & Decisions, Vol 19/1, 2001) . (Technometrics, August 2000, Vol. 3) It is clearly an important and valuable addition to the area and deserves to be widely known and used.--(Statistics and Decisions, Volume 19, No.1, 2001) "an important and valuable addition to the area and deserves to be widely known and used." (Statistics and Decisions, Vol. It is well written and organized with compact derivations and extensive references and can
Statistical Modeling by Wavelets Dawei Hong This book is excellent as a comprehensive introduction to up-to-date statistics via wavelets, and it is well written too, though there are a few of printing mistakes.It does require certain math background to read this book. But the book gives reader quite deep insight of how apply wavelets to statistics.