Discrete models. by Donald Greenspan

Cover of: Discrete models. | Donald Greenspan

Published by Addison-Wesley in Reading, Mass .

Written in English

Read online

Subjects:

  • Difference equations -- Data processing.,
  • Nonlinear theories -- Data processing.,
  • Physics -- Data processing.

Edition Notes

Bibliography: p. 155-161.

Book details

SeriesApplied mathematics and computation, no. 3
Classifications
LC ClassificationsQA431 .G75
The Physical Object
Paginationxiv, 165 p.
Number of Pages165
ID Numbers
Open LibraryOL5416080M
ISBN 100201026120, 0201026139
LC Control Number73007957

Download Discrete models.

A simple approach to discrete interest rate models is included, which, though elementary, has some novel features.

All proofs are written in a user-friendly manner, with each step carefully explained and following a natural flow of thought. In this way the student learns how to tackle new problems.2/5(1). The book is excellent for guys on discrete choice models and analysis.

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The second model applies when we have both discrete and continuous explanatory variables and is referred to as a Log-Linear Model.

That model is beyond the scope of this Handbook, but interested readers should refer to the reference section of this chapter for a list of useful books on the topic. The emphasis in this book is placed on general models (Markov chains, random fields, random graphs), universal methods (the probabilistic method, the coupling method, the Stein-Chen method, martingale methods, the method of types) and versatile tools (Chernoff's bound, Hoeffding's inequality, Holley's inequality) whose domain of application extends far beyond the present text.

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Theory of Modeling and Simulation: Discrete Event & Iterative System Computational Foundations, Third Edition, continues the legacy of this authoritative and complete theoretical work.

It is ideal for graduate and PhD students and working engineers interested in posing and solving problems using the tools of logico-mathematical modeling and computer simulation. This electronic version of Discrete Choice Methods with Simulation is made available for Discrete models.

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When I wrote my first book, Qualitative Choice Analysis, in the mid ’s, the field had reached a critical juncture. The break-through concepts that defined the field had been made. The basic models — mainly logit and nested logit — had been introduced, and the sta-tistical and economic properties of these models had been Size: 1MB.

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The emphasis in this book is placed on general models (Markov chains, random fields, random graphs), universal methods (the probabilistic method, the coupling method, the Stein-Chen method, martingale methods, the method of types) and versatile tools (Chernoff's bound, Hoeffding's inequality, Holley's inequality) whose domain of application extends far beyond the present : Springer International Publishing.

A simple approach to discrete interest rate models is included, which, though elementary, has some novel features. All proofs are written in a user-friendly manner, with each step carefully explained and following a natural flow of by: 2.

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Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, 5/5(1). Discrete Behavior So far, all the examples we’ve seen have been of a purely continuous nature.

This means that there have been no abrupt disturbances in the system. In this chapter, we’ll focus on how to express what we call “discrete behavior”.

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$\begingroup$ One thing that I am not sure if we are both taking into account is that it is not the same thing (1) a discretization of a continuous model and (2) a discrete model (as in a multi-period discrete model).

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