<strong>Nonlinear</strong>
        <strong>Regression</strong> (Wiley Series in Probability and Statistics)<br/>
By <strong>George</strong> A. F. Seber, C. J. Wild<br/>
Publisher:   Wiley-Interscience <br/>
Number Of Pages:   792 <br/>
Publication Date:   2003-09-19 <br/>
ISBN-10 / ASIN:   0471471356 <br/>
ISBN-13 / EAN:   9780471471356 <br/>
Product Description: <br/>
Thistext/reference provides a broad survey of aspects of model-building
andstatistical inference. Presents an accessible synthesis of
currenttheoretical literature, requiring only familiarity with linear <strong>regression</strong>methods. <span class="t_tag" href="http://www.bloomsky.com/bbs/tag.php?name=The">The</span>
three chapters on central computational questions comprisea
self-contained introduction to unconstrained optimization. Includesmany
illustrative practical ex<span class="t_tag" href="http://www.bloomsky.com/bbs/tag.php?name=amp">amp</span>les.<br/><br/> <a target="_blank" href="http://ifile.it/5am4yrt/0471617601__t__781s_.rar">http://ifile.it/5am4yrt/0471617601__t__781s_.rar</a> <br/><br/>