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Books in Decision sciences

Our decision sciences titles care essential reading for students and professionals, and cover key topics in decision support systems, and global logistics, among other areas of research and practice

141-150 of 316 results in All results

An Introduction to the Mathematics of Financial Derivatives

  • 1st Edition
  • Salih N. Neftci
  • English
Using an intuitive, systematic approach to the material, this text introduces the mathematics underlying the pricing of derivatives. The interest in dynamic pricing models is increasing due to their applicability topractical situations. With the freeing of exchange, interest rates, and capital controls, the markets for derivative products has matured, and pricing models have become more accurate. An Introduction to the Mathematics of Financial Derivatives fills the need for a resource targeting professionals, Ph.D. students and advanced MBA students who are specifically interested in these financial products.

Analysis of Economic Time Series, Revised Edition

  • 1st Edition
  • Marc Nerlove + 2 more
  • English
In this edition which has been reprinted with corrections, Nerlove and his co-authors illustrate techniques of spectral analysis and methods based on parametric models in the analysis of economic time series. The book provides a means and a method for incorporating economic intuition and theory in the formulation of time-series models useful in forecasting, in the formulation and estimation of distributed lag models, and in other applications, such as seasonal adjustment. Analysis of Economic Time Series is a useful primary text for graduate students and an attractive reference for researchers.

Mathematics for Economists

  • 1st Edition
  • William Novshek
  • English
This text contains the mathematical material necessary as background for the topics covered in advanced microeconomics courses. It focuses on two key components of microeconomics - optimization subject to constraints and the development of comparative statistics. Assuming familiarity with calculus of one variable and basic linear algebra, the text allows more extensive coverage of additional topics like constrained optimization, the chain rule, Taylor's theorem, line integrals and dynamic programming. It contains numerous examples that illustrate economics and mathematical situations, many with complex solutions.

Statistical Methods in Econometrics

  • 1st Edition
  • Ramu Ramanathan
  • English
Statistical Methods in Econometrics is appropriate for beginning graduate courses in mathematical statistics and econometrics in which the foundations of probability and statistical theory are developed for application to econometric methodology. Because econometrics generally requires the study of several unknown parameters, emphasis is placed on estimation and hypothesis testing involving several parameters. Accordingly, special attention is paid to the multivariate normal and the distribution of quadratic forms. Lagrange multiplier tests are discussed in considerable detail, along with the traditional likelihood ration and Wald tests. Characteristic functions and their properties are fully exploited. Also asymptotic distribution theory, usually given only cursory treatment, is discussed in detail.The book assumes a working knowledge of advanced calculus (including integral calculus) basic probability and statistics, and linear algebra. Important properties from matrix algebra are summarized in the appendix. Numerous examples, exercises, and practice problems are included.

Asymptotic Theory for Econometricians

  • 1st Edition
  • Halbert White
  • English
This book provides the tools and concepts necessary to study the behavior of econometric estimators and test statistics in large samples. An econometric estimator is a solution to an optimization problem; that is, a problem that requires a body of techniques to determine a specific solution in a defined set of possible alternatives that best satisfies a selected object function or set of constraints. Thus, this highly mathematical book investigates situations concerning large numbers, in which the assumptions of the classical linear model fail. Economists, of course, face these situations often.

Modeling and Forecasting Demand in Tourism

  • 1st Edition
  • Stephen F. Witt + 1 more
  • English
International tourism has grown rapidly over the last twenty years, but the rate of growth has varied considerably from year to year, with some countries experiencing declines in their tourist arrivals. Planning under these circumstances is both extremely difficult and important. In order to plan successfully, accurate forecasts of tourist's flows are required.This book sets out to compare the accuracy of seven forecasting methods--six univariate time series techniques and econometrics--when applied to international tourism demand data. The estimated parameters in the econometric models also permits an evaluation of the impact of factors such as income, prices, exchange rates and currency restrictions on tourism demand.Modeling and Forecasting Demand in Tourism is of considerable value and interest to both academics and research students, as well as those practitioners in the fields of tourism, travel, hospitality and consultancy who make decisions or give advice on the basis of forecasts.

Statistical Foundations for Econometric Techniques

  • 1st Edition
  • Asad Zaman
  • English
Statistical Foundations for Econometric Techniques features previously unavailable material in a textbook format for econometrics students, researchers, and practitioners. Taking strong positions for and against standard econometric techniques, the book endorses a single best technique whenever possible. In many cases, the recommended optimal technique differs substantially from current practice. Detailed discussions present many new estimation strategies superior to conventional OLS and ways to use them.

Multiple Criteria Decision Making / Aiding in Transportation and Logistics

  • 1st Edition
  • October 1, 2029
  • Jacek Zak
  • English
  • Paperback
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  • eBook
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Transportation and Logistics Problem-Solving Through Multiple Criteria Decision Making is the first book that solves complex transportation and logistical problems through MCDM, presenting advanced methodology in an accessible format. Today’s transportation and logistics professionals are tasked daily with critical decisions affecting facility location, fleet management, crew assignment and scheduling, and portfolio optimization. Transportation and Logistics Problem-Solving Through Multiple Criteria Decision Making provides the methodological framework to solve these multiple, criteria-based decision problems. It equips readers with set of concrete rules, methods and procedures that make MCDM principles practical and applicable for transportation and logistics. Transportation and Logistics Problem-Solving Through Multiple Criteria Decision Making models and solves the various MCDM categories, including choice, ranking, and classification, with an application of applicable solution procedures. The book covers deterministic and non-deterministic, as well as static and dynamic situations, presenting original mathematical formulations of multiple criterial transportation and logistical problems. It reviews applied methods, such as meta-heuristic, hybrid, rough-set, interactive, and exact procedures, and customizes them to solve specific transportation situations. The book shows the vast majority of transportation and logistics decisions have a multiple criteria core, and explains how to use this knowledge to arrive at the best decisions possible.

Transport and the City

  • 1st Edition
  • March 1, 2019
  • Marcial Echenique
  • English
  • Paperback
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  • eBook
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Using a spatial economics conceptual framework, Transport and the City examines the role of transportation in how, where, when, and why cities develop over time. Part I examines cities as centers of exchange and the role transportation plays on commerce, land values, and housing. It looks at the dynamic interconnections between employment, residence, and the flows of people and goods with land, buildings, and transportation networks. Part II focuses on the attempts to manage the development of cities, examining the role governments play in controlling land and transportation systems, the impact of pedestrian, public transportation, highway, and other transit oriented developments on city planning. Part III concludes the book by looking at the socio-economic, technological, and policy trends which will influence the future of city and transportation design, including such areas as the transition to a service economy, population changes and household dynamics, energy use, self-driving vehicles, building and networks retrofitting, mobility, and income.