Operations Research Management Science - New Books

<BODY bgcolor="#ffffff" link="cc0000" vlink="cc0000" text="#000000"> <img src="../cleardot.gif" width=1 height=1 vspace=4 border=0><br>   <table border=0 cellspacing=0 cellpadding=0 width=480><tr valign=top> <td width=10><img src="../cleardot.gif" width=1 height=1 hspace=4 border=0></td> <td width=470> <FONT face="verdana, arial, helvetica" SIZE=2><B><I><A HREF="../../ORMS.shtml" TARGET="_top">OR/MS Today</A> - June 2002</I></B></font><BR> <hr size="1"> <img src="cleardot.gif" width=1 height=1 vspace=4 border=0><br> <font face="times new roman, times"> <img src="../cleardot.gif" width=1 height=1 vspace=4 border=0><br> <FONT face="verdana, arial, helvetica" SIZE=2><B>New Books</B></FONT><br> <IMG SRC="../barbluehook.gif" WIDTH="468" HEIGHT="4"><br> <img src="../cleardot.gif" width=1 height=1 vspace=12 border=0><br>    <FONT face="verdana, arial, helvetica" SIZE=3><B>Methods of Multivariate Statistics</B></FONT><BR> <IMG SRC="../barbluehook.gif" WIDTH="468" HEIGHT="4"><br> <img src="../cleardot.gif" width=1 height=1 vspace=2 border=0><br> <FONT face="verdana, arial, helvetica" size=2><B>By Muni S. Srivastava</B></FONT><br> <img src="../cleardot.gif" width=1 height=1 vspace=2 border=0><br> Multivariate statistical methods provide a powerful tool for analyzing data when observations are taken over a period of time on the same subject. With the advent of fast and efficient computers and the availability of computer packages such as S-plus and SAS, multivariate methods once too complex to tackle are now within reach of most researchers and data analysts. With an emphasis on computing techniques in combination with a full understanding of the mathematics behind the methods, "Methods of Multivariate Statistics" offers an up-to-date account of multivariate methods. Focusing on the maximum likelihood method for estimation, testing of hypotheses, and "profile analysis," this book offers comprehensive discussions of commonly encountered multivariate data and also covers some practical and important problems lacking in other texts. <P><I>Published by John Wiley & Sons</I> <BR> <img src="../cleardot.gif" width=1 height=1 vspace=12 border=0><br> <FONT face="verdana, arial, helvetica" SIZE=3><B>Emerging Optimization Techniques in Production Planning and Control</B></FONT><BR> <IMG SRC="../barbluehook.gif" WIDTH="468" HEIGHT="4"><br> <img src="../cleardot.gif" width=1 height=1 vspace=2 border=0><br> <FONT face="verdana, arial, helvetica" size=2><B>By Godfrey C. Onwubolu</B></FONT><br> <img src="../cleardot.gif" width=1 height=1 vspace=2 border=0><br> This book proposes a concept of adaptive memory programming (AMP) for grouping a number of generic optimization techniques used in combinatorial problems. The same common features seen in the use of memory and a local search procedure drive these emerging optimization techniques, which include artificial neural networks, genetic algorithms, tabu search and ant systems. The primary motivation for AMP, therefore, is to group and unify all these techniques so as to enhance the computational capabilities that they offer for combinatorial problems encountered in real life in the area of production planning and control. <P>The text describes the theoretical aspects of AMP together with relevant production planning and control applications. It covers the techniques, applications and algorithms. The book has been written in such a way that it can serve as an instructional text for students and those who are taking tuition on their own. The numerical examples given are first solved manually to enhance the reader's understanding of the material, and that is followed by a description of the algorithms and computer results. The algorithms described for each application are useful to both students and practitioners in grasping how to implement similar applications in computer code using emerging optimization techniques. <P><I>Published by Imperial College Press</I> <BR> <img src="../cleardot.gif" width=1 height=1 vspace=12 border=0><br> <FONT face="verdana, arial, helvetica" SIZE=3><B>A History of Operational Research in Britain</B></FONT><BR> <IMG SRC="../barbluehook.gif" WIDTH="468" HEIGHT="4"><br> <img src="../cleardot.gif" width=1 height=1 vspace=2 border=0><br> <FONT face="verdana, arial, helvetica" size=2><B>By Maurice W Kirby </B></FONT><br> <img src="../cleardot.gif" width=1 height=1 vspace=2 border=0><br> This invaluable book provides an account of operational research in Britain, the country of its inception, from the late 1930s to 1970. Originating in response to the country's air defense needs against the Luftwaffe, operational research had outstanding achievements as part of the "secret war" against Nazi Germany. After 1945, the discipline began to be adopted in an increasing range of industries and services. In the 1960s  by which time it was being incorporated in to university curricula  the discipline began to penetrate into civil government departments. The history of operational research provides unique insights into the conduct of modern warfare, the "professionalization" of business management and the modernization of the civil service. The chronological coverage, from the late 1930s to 1970, coincides with "golden age" of operational research, when the discipline was presented as a means of achieving optimum solutions to complex managerial problems. The book will be of interest to historians of military, business, public administration and higher education. <P><I>Published by World Scientific Publishing Co.</I> <BR> <img src="../cleardot.gif" width=1 height=1 vspace=12 border=0><br> <FONT face="verdana, arial, helvetica" SIZE=3><B>Location Theory and Decision Analysis</B></FONT><BR> <IMG SRC="../barbluehook.gif" WIDTH="468" HEIGHT="4"><br> <img src="../cleardot.gif" width=1 height=1 vspace=2 border=0><br> <FONT face="verdana, arial, helvetica" size=2><B>By Yupo Chan</B></FONT><br> <img src="../cleardot.gif" width=1 height=1 vspace=2 border=0><br> This is the first book to integrate models for facilities siting and land-use. Employing state-of-the-art quantitative models and case studies, "Location Theory and Decision Analysis" guides the siting of such facilities as transportation terminals, warehouses, nuclear power plants, military bases, landfills, emergency shelters, state parks and industrial plants. <P>It is of value to urban planners, developers, government officials and anyone involved in facility operation and planning who wishes to avoid the costly mistakes that can result from poor locational decisions. Facility consolidation, contraction, expansion and the traffic flow through these facilities are also discussed. <P>Included as part of the book, a CD-ROM contains self-standing computer programs that run on any PC. This software covers remote-sensing image processing, facility-location and land-use models, and sample data sets. <P><I>Published by South-Western Pub.</I> <BR> <img src="../cleardot.gif" width=1 height=1 vspace=12 border=0><br> <FONT face="verdana, arial, helvetica" SIZE=3><B>Categorical Data Analysis,2nd Edition</B></FONT><BR> <IMG SRC="../barbluehook.gif" WIDTH="468" HEIGHT="4"><br> <img src="../cleardot.gif" width=1 height=1 vspace=2 border=0><br> <FONT face="verdana, arial, helvetica" size=2><B>By Alan Agresti</B></FONT><br> <img src="../cleardot.gif" width=1 height=1 vspace=2 border=0><br> Offering an introduction to the methods for categorical data analysis, this book presents the most prominent methods in the field. Now in its second edition, "Categorical Data Analysis" also includes the latest methods for correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic repression and Poisson and negative binomial regression for discrete data with normal regression for continuous data. <P><I>Published by John Wiley & Sons</I> <BR> <img src="../cleardot.gif" width=1 height=1 vspace=12 border=0><br> <FONT face="verdana, arial, helvetica" SIZE=3><B>Graphical Models: Methods for Data Analysis and Mining</B></FONT><BR> <IMG SRC="../barbluehook.gif" WIDTH="468" HEIGHT="4"><br> <img src="../cleardot.gif" width=1 height=1 vspace=2 border=0><br> <FONT face="verdana, arial, helvetica" size=2><B>By Christian Borgelt, Rudolf Kruse</B></FONT><br> <img src="../cleardot.gif" width=1 height=1 vspace=2 border=0><br> One of the most important applications of graphical modeling today is data mining  the data-driven discovery and modeling of hidden patterns in large data sets. This title provides a self-contained introduction to learning relational, probabilistic, and possibilistic networks from data. <P>The book contains all necessary background material, including modeling under uncertainty, decomposition of distributions, and graphical representation of decompositions. It also features applications of learning graphical models from data taken directly from industry, and problems for further research. <P><I>Published by John Wiley & Sons</I><BR>  <img src="../cleardot.gif" width=1 height=1 vspace=5 border=0><br>  <img src="../barblue.gif" width=468 height=1 border=0 alt=" "><br> <img src="../cleardot.gif" width=1 height=1 vspace=8 border=0><br> <font face="verdana, arial, helvetica" size="1"> <CENTER><script type="text/javascript"></script> <script type="text/javascript" src="http://pagead2.googlesyndication.com/pagead/show_ads.js"> </script></CENTER><br> <img src="../cleardot.gif" width=1 height=1 vspace=8 border=0><br> <LI> <A HREF="tocfr.html" Target="_top"><I>Table of Contents</I></A><br> <img src="../cleardot.gif" width=1 height=1 vspace=4 border=0><br> <LI> <A HREF="../../ORMS.shtml" TARGET="_top"><I>OR/MS Today</I> Home Page</A><br>  <img src="../cleardot.gif" width=1 height=1 vspace=8 border=0><br> <img src="../barblue.gif" width=468 height=1 border=0 alt=" "><br> <b><i>OR/MS Today</i></b> copyright © 2002 by <A HREF="http://www.informs.org/" target="_new">the Institute for Operations Research and the Management Sciences</a>. All rights reserved.<br> <img src="../cleardot.gif" width=1 height=1 vspace=3 border=0><br> <img src="../bargrey.gif" width=468 height=1 border=0 alt=" "><br> <b>Lionheart Publishing, Inc.</b><br> 506 Roswell Rd., Suite 220, Marietta, GA 30060 USA<br> Phone: 770-431-0867 | Fax: 770-432-6969<br> E-mail: <a href="mailto:lpi@lionhrtpub.com">lpi@lionhrtpub.com</a><br> URL: <A HREF="http://www.lionhrtpub.com" target="_top">http://www.lionhrtpub.com</A><br> <img src="../cleardot.gif" width=1 height=1 vspace=3 border=0><br> <img src="../bargrey.gif" width=468 height=1 border=0 alt=" "><br> Web Site © Copyright 2002 by Lionheart Publishing, Inc. All rights reserved. </td></tr></table> <img src="../cleardot.gif" width=1 height=1 vspace=2 border=0><br> </BODY>