OR/MS Today - October 2001

OR/MS Today - October 2001

New Books

Handbook of Statistical Genetics

Edited by D. J. Balding, M. Bishop, C. Cannings

The "Handbook of Statistical Genetics" is a timely, informative and highly accessible reference for both statisticians interested in genetic applications and geneticists seeking a deeper understanding of statistical methods in their field.
Published by John Wiley & Sons

Operations Research Calculations Handbook

By Dennis Blumenfeld

The field of operations research covers a wide range of mathematical topics, and because it is so broad, results and formulas are scattered widely throughout the literature. As the field continues to grow, OR students and practitioners need a one-stop source for the results relevant to their work. This book contains more than 250 results in a single, concise volume. Organized by topic and listed in a convenient summary format, it allows readers to have frequently used results readily at hand. Topics include probability, stochastic processes, queuing theory inventory control logistics, linear programming, and much more.
Published by CRC Press

Applied Logistic Regression, 2nd Edition

By David W. Hosmer, Stanley Lemeshow

The logistic regression (LR) model has been in use in statistical analyses for many years, but it was not until the late 1960's that a model was used to provide a multivariate analysis of the Framingham heart study data that its full power and applicability were appreciated. Since then the LR model has become the standard method for regression analysis of dichotomous data in many fields, especially in the health sciences. This updated edition of the classic best seller provides a focused introduction to the LR model and its use in methods for modeling the relationship between a dichotomous outcome variable and a set of co-variables.
Published by John Wiley & Sons

Probability and Finance: It's Only a Game!

By Glenn Shafer, Vladimir Vovk

"Probability and Finance" is for anyone who studies or uses probability. Mathematicians and statisticians will find in it a new framework for probability: game theory instead of measure theory. Philosophers will find a surprising synthesis of the objective and the subjective. Practitioners, especially in financial engineering, will learn new ways to understand and sometimes eliminate stochastic models.
Published by Wiley-Interscience

Optimization Theory: Recent Developments from Matrahaza

Edited by Franco Giannessi, Panos M. Pardalos, Tamas Rapcsak

This volume contains refereed papers based on lectures presented at the XIV International Conference on Mathematical Programming, held at Matrahaza, Hungary. The main purpose of the conference was to review and discuss recent advances and promising research trends concerning theory, algorithms and applications in the fields of optimization theory and related areas such as convex analysis, complementarily systems and variational inequalities.
Published by Kluwer Academic Publishers

Mixed-Mode Modelling: Mixing Methodologies for Organisational Intervention

Edited by Miles G. Nicholls, Steve Clarke, Brian Lehaney

While traditional operations research and management science texts have covered the highly quantitative aspects of business modeling, they have tended to ignore the important issues surrounding the engagement of people in the development of models and implementation of policies that arise from debate. Where texts have covered both areas, they have tended to be dealt with in isolation from each other. This new text brings together these key considerations in a series of chapters, each of which outlines a particular approach to mixed mode modeling. This book deals with the theory and practice of this new way of addressing business problems.
Published by Kluwer Academic Publishers

Bayesian Networks and Decision Graphs

By Finn V. Jensen

Bayesian networks and decision graphs are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. Their strengths are two-sided. It is easy for humans to construct and to understand them, and when communicated to a computer, they can easily be compiled. Furthermore, handy algorithms are developed for analysis of the models and for providing responses to a wide range of requests such as belief updating, determining optimal strategies, conflict analyses of evidence, and most probable explanation.

Part I gives a thorough introduction to Bayesian networks as well as decision trees and influence diagrams, and through examples and exercises, the reader is instructed in building graphical models from domain knowledge. This part is self-contained, and it does not require other background than standard secondary school mathematics. Part II is devoted to the presentation of algorithms and complexity issues.
Published by Springer Verlag

Accelerated Life Models

By Vilijandas Bagdonavicius, Mikhail Nikulin

In addition to the classical results on accelerated life testing and degradation models typically covered in the literature, this monograph provides a unified approach to the formulation of models. This systematic presentation offers the possibility of formulating new classes of models and seeing the relationship between various new and well-know models. The authors include goodness-of-fit tests for the most important models. Valuable as both a high-level textbook and as a reference, it includes numerous real-life examples.
Published by Chapman & Hall

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