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1999 (29)

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Managing multiple bosses : how to juggle priorities, personalities & projects, and make it look easy
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ISBN: 058503463X 9780585034638 0814470254 Year: 1999 Publisher: [Place of publication not identified] American Management Association

Decision making for technology executives : using multiple perspectives to improved performance
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ISBN: 1580532160 9781580532167 0890064032 9780890064030 Year: 1999 Publisher: [Place of publication not identified] Artech House

Markov chains : Gibbs fields, Monte Carlo simulation and queues
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ISBN: 0387985093 1441931317 1475731248 9780387985091 Year: 1999 Volume: 31 Publisher: New York: Springer,

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In this book, the author begins with the elementary theory of Markov chains and very progressively brings the reader to the more advanced topics. He gives a useful review of probability that makes the book self-contained, and provides an appendix with detailed proofs of all the prerequisites from calculus, algebra, and number theory. A number of carefully chosen problems of varying difficulty are proposed at the close of each chapter, and the mathematics are slowly and carefully developed, in order to make self-study easier. The author treats the classic topics of Markov chain theory, both in discrete time and continuous time, as well as the connected topics such as finite Gibbs fields, nonhomogeneous Markov chains, discrete- time regenerative processes, Monte Carlo simulation, simulated annealing, and queuing theory. The result is an up-to-date textbook on stochastic processes. Students and researchers in operations research and electrical engineering, as well as in physics and biology, will find it very accessible and relevant.

The foundations of causal decision theory
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ISBN: 0521641640 0521063566 1107173108 9786611383879 0511398093 0511398921 0511498497 1281383872 0511396597 0511401043 0511397321 9780521063562 9780521641647 9780511397325 9780511401046 Year: 1999 Volume: *4 Publisher: Cambridge : Cambridge University Press,

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This book defends the view that any adequate account of rational decision making must take a decision maker's beliefs about causal relations into account. The early chapters of the book introduce the non-specialist to the rudiments of expected utility theory. The major technical advance offered by the book is a 'representation theorem' that shows that both causal decision theory and its main rival, Richard Jeffrey's logic of decision, are both instances of a more general conditional decision theory. The book solves a long-standing problem for Jeffrey's theory by showing for the first time how to obtain a unique utility and probability representation for preferences and judgements of comparative likelihood. The book also contains a major new discussion of what it means to suppose that some event occurs or that some proposition is true. The most complete and robust defence of causal decision theory available.


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Project Scheduling under Limited Resources : Models, Methods, and Applications
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ISBN: 3642586279 Year: 1999 Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,

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Approaches to project scheduling under resource constraints are discussed in this book. After an overview of different models, it deals with exact and heuristic scheduling algorithms. The focus is on the development of new algorithms. Computational experiments demonstrate the efficiency of the new heuristics. Finally, it is shown how the models and methods discussed here can be applied to projects in research and development as well as market research.

Handbook of transportation science
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ISBN: 079238587X 1461373700 1461552036 9780792385875 Year: 1999 Publisher: Boston Kluwer

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Over the past thirty-five years, a tremendous body of both theoretical and empirical research has been established on the `science of transportation'. The Handbook of Transportation Science has collected and synthesized this research into a systematic treatment of this field covering its fundamental concepts, methods, and principles. The purpose of this handbook is to define transportation as a scientific discipline that transcends transportation technology and methods. Whether by car, truck, airplane - or by a mode of transportation that has not yet been conceived - transportation obeys fundamental properties. The science of transportation defines these properties, and demonstrates how our knowledge of one mode of transportation can be used to explain the behavior of another. Transportation scientists are motivated by the desire to explain spatial interactions that result in movement of people or objects from place to place. Its methodologies draw from physics, operations research, probability and control theory. It is fundamentally a quantitative discipline, relying on mathematical models and optimization algorithms to explain the phenomena of transportation. The fourteen chapters in the handbook are written by the leading researchers in transportation science in an effort to define and categorize for the first time the scientific nature and state of the art of the field. As such, it is directed to the broader research community, transportation practitioners, and future transportation scientists.

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