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Discrete Choice Analysis with R, P?ez


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Цена: 79190.00T
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Автор: P?ez
Название:  Discrete Choice Analysis with R
ISBN: 9783031207181
Издательство: Springer
Классификация:


ISBN-10: 3031207181
Обложка/Формат: Hardback
Страницы: 332
Вес: 0.70 кг.
Дата издания: 09.02.2023
Серия: Use R!
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 65 illustrations, color; 18 illustrations, black and white; xxiii, 332 p. 83 illus., 65 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Statistics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Readers begin with simple data operations and the underlying theory of choice analysis and conclude by working with sophisticated models including latent class logit models, mixed logit models, and ordinal logit models with taste heterogeneity.

Discrete Choice Methods with Simulation

Автор: Train Kenneth E
Название: Discrete Choice Methods with Simulation
ISBN: 0521747384 ISBN-13(EAN): 9780521747387
Издательство: Cambridge Academ
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Цена: 49630.00 T
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Описание: This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Each of the major models is covered including logit, generalized extreme value, or GEV, probit, and mixed logit, plus a variety of specifications that build on these basics.

Discrete choice analysis

Автор: Ben-akiva, Moshe E. Lerman, Steven R.
Название: Discrete choice analysis
ISBN: 0262536404 ISBN-13(EAN): 9780262536400
Издательство: MIT Press
Рейтинг:
Цена: 73360.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether from the point of view of the design of transit systems, urban and transport economics, public policy, operations research, or systems management and planning.

The methods of discrete choice analysis and their applications in the modelling of transportation systems constitute a comparatively new field that has largely evolved over the past 15 years. Since its inception, however, the field has developed rapidly, and this is the first text and reference work to cover the material systematically, bringing together the scattered and often inaccessible results for graduate students and professionals. Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether from the point of view of the design of transit systems, urban and transport economics, public policy, operations research, or systems management and planning. The introductory chapter presents the background of discrete choice analysis and context of transportation demand forecasting. Subsequent chapters cover, among other topics, the theories of individual choice behavior, binary and multinomial choice models, aggregate forecasting techniques, estimation methods, tests used in the process of model development, sampling theory, the nested-logit model, and systems of models.

Discrete Choice Analysis is ninth in the MIT Press Series in Transportation Studies, edited by Marvin Manheim.


Discrete Choice Analysis with R

Автор: P?ez
Название: Discrete Choice Analysis with R
ISBN: 3031207211 ISBN-13(EAN): 9783031207211
Издательство: Springer
Рейтинг:
Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is designed as a gentle introduction to the fascinating field of choice modeling and its practical implementation using the R language. Discrete choice analysis is a family of methods useful to study individual decision-making. With strong theoretical foundations in consumer behavior, discrete choice models are used in the analysis of health policy, transportation systems, marketing, economics, public policy, political science, urban planning, and criminology, to mention just a few fields of application. The book does not assume prior knowledge of discrete choice analysis or R, but instead strives to introduce both in an intuitive way, starting from simple concepts and progressing to more sophisticated ideas. Loaded with a wealth of examples and code, the book covers the fundamentals of data and analysis in a progressive way. Readers begin with simple data operations and the underlying theory of choice analysis and conclude by working with sophisticated models including latent class logit models, mixed logit models, and ordinal logit models with taste heterogeneity. Data visualization is emphasized to explore both the input data as well as the results of models. This book should be of interest to graduate students, faculty, and researchers conducting empirical work using individual level choice data who are approaching the field of discrete choice analysis for the first time. In addition, it should interest more advanced modelers wishing to learn about the potential of R for discrete choice analysis. By embedding the treatment of choice modeling within the R ecosystem, readers benefit from learning about the larger R family of packages for data exploration, analysis, and visualization.

Geophysical Data Analysis: Discrete Inverse Theory,45

Автор: Menke, William
Название: Geophysical Data Analysis: Discrete Inverse Theory,45
ISBN: 0128100486 ISBN-13(EAN): 9780128100486
Издательство: Elsevier Science
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Цена: 74100.00 T
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Описание: Since 1984, Geophysical Data Analysis has filled the need for a short, concise reference on inverse theory for individuals who have an intermediate background in science and mathematics. The new edition maintains the accessible and succinct manner for which it is known, with the addition of:. . . . MATLAB examples and problem sets. Advanced color graphics. Coverage of new topics, including Adjoint Methods; Inversion by Steepest Descent, Monte Carlo and Simulated Annealing methods; and Bootstrap algorithm for determining empirical confidence intervals

11th International Conference on Analysis and Optimization of Systems: Discrete Event Systems

Автор: Guy Cohen; Jean-Pierre Quadrat
Название: 11th International Conference on Analysis and Optimization of Systems: Discrete Event Systems
ISBN: 3540198962 ISBN-13(EAN): 9783540198963
Издательство: Springer
Рейтинг:
Цена: 81050.00 T
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Описание: The conference, coorganized by INRIA and Ecole des Mines de Paris, focuses on Discrete Event Systems (DES) and is aimed at engineers, scientists and mathematicians working in the fields of Automatic Control, Operations Research and Statistics who are interested in the modelling, analysis and optimization of DES.

Stochastic Analysis in Discrete and Continuous Settings

Автор: Nicolas Privault
Название: Stochastic Analysis in Discrete and Continuous Settings
ISBN: 3642023797 ISBN-13(EAN): 9783642023798
Издательство: Springer
Рейтинг:
Цена: 46540.00 T
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Описание: Suitable for graduate students and researchers having already received a basic training in probability, this work aims to give a unified presentation of stochastic analysis for continuous and discontinuous stochastic processes, in both discrete and continuous time.

Reliability Modelling and Analysis in Discrete Time

Автор: Nair, Unnikrishnan
Название: Reliability Modelling and Analysis in Discrete Time
ISBN: 0128019131 ISBN-13(EAN): 9780128019139
Издательство: Elsevier Science
Рейтинг:
Цена: 138110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reliability Modelling and Analysis in Discrete Time provides an overview of the probabilistic and statistical aspects connected with discrete reliability systems. This engaging book discusses their distributional properties and dependence structures before exploring various orderings associated between different reliability structures. Though clear explanations, multiple examples, and exhaustive coverage of the basic and advanced topics of research in this area, the work gives the reader a thorough understanding of the theory and concepts associated with discrete models and reliability structures. A comprehensive bibliography assists readers who are interested in further research and understanding. . Requiring only an introductory understanding of statistics, this book offers valuable insight and coverage for students and researchers in Probability and Statistics, Electrical Engineering, and Reliability/Quality Engineering. The book also includes a comprehensive bibliography to assist readers seeking to delve deeper.

Computational Mathematics with SageMath

Автор: Paul Zimmermann
Название: Computational Mathematics with SageMath
ISBN: 161197545X ISBN-13(EAN): 9781611975451
Издательство: Mare Nostrum (Eurospan)
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Цена: 61870.00 T
Наличие на складе: Невозможна поставка.
Описание: SageMath, or Sage for short, is an open-source mathematical software system based on the Python language and developed by an international community comprising hundreds of teachers and researchers, whose aim is to provide an alternative to the commercial products Magma, Maple, Mathematica, and MATLAB®. To achieve this, Sage relies on many open-source programs, including GAP, Maxima, PARI, and various scientific libraries for Python, to which thousands of new functions have been added. Sage is freely available and is supported by all modern operating systems.Sage provides a wonderful scientific and graphical calculator for high school students, and it efficiently supports undergraduates in their computations in analysis, linear algebra, calculus, etc. For graduate students, researchers, and engineers in various mathematical specialties, Sage provides the most recent algorithms and tools, which is why several universities around the world already use Sage at the undergraduate level. Computational Mathematics with SageMath, written by researchers and by teachers at the high school, undergraduate, and graduate levels, focuses on the underlying mathematics necessary to use Sage efficiently and is illustrated with concrete examples. Part I is accessible to high school and undergraduate students and Parts II, III, and IV are suitable for graduate students, teachers, and researchers.This book is available under a Creative Commons license at sagebook.gforge.inria.fr.

Discrepancy Theory

Автор: Dmitriy Bilyk, Josef Dick, Friedrich Pillichshammer
Название: Discrepancy Theory
ISBN: 3110651157 ISBN-13(EAN): 9783110651157
Издательство: Walter de Gruyter
Цена: 133830.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

The series is devoted to the publication of high-level monographs, surveys and proceedings which cover the whole spectrum of computational and applied mathematics.

The books of this series are addressed to both specialists and advanced students.

Interested authors may submit book proposals to the Managing Editor or to any member of the Editorial Board.

Managing Editor
Ulrich Langer, RICAM, Linz, Austria; Johannes Kepler University Linz, Austria

Editorial Board
Hansjorg Albrecher, University of Lausanne, Switzerland
Ronald H. W. Hoppe, University of Houston, USA
Karl Kunisch, RICAM, Linz, Austria; University of Graz, Austria
Harald Niederreiter, RICAM, Linz, Austria
Otmar Scherzer, RICAM, Linz, Austria; University of Vienna, Austria
Christian Schmeiser, University of Vienna, Austria


Algorithms from the book

Автор: Lange, Kenneth
Название: Algorithms from the book
ISBN: 1611976162 ISBN-13(EAN): 9781611976168
Издательство: Mare Nostrum (Eurospan)
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Цена: 59770.00 T
Наличие на складе: Нет в наличии.
Описание: Algorithms are a dominant force in modern culture, and every indication is that they will become more pervasive, not less. The best algorithms are undergirded by beautiful mathematics.This text cuts across discipline boundaries to highlight some of the most famous and successful algorithms. Readers are exposed to the principles behind these examples and guided in assembling complex algorithms from simpler building blocks.Algorithms from THE BOOK:Incorporates Julia code for easy experimentation.Is written in clear, concise prose consistent with mathematical rigour.Includes a large number of classroom-tested exercises at the end of each chapter.Covers background material, often omitted from undergraduate courses, in the appendices.This textbook is aimed at first-year graduate and advanced undergraduate students. It will also serve as a convenient reference for professionals throughout the mathematical sciences, physical sciences, engineering, and the quantitative sectors of the biological and social sciences.

Exact Analysis of Discrete Data

Автор: Hirji, Karim F.
Название: Exact Analysis of Discrete Data
ISBN: 1584880708 ISBN-13(EAN): 9781584880707
Издательство: Taylor&Francis
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Цена: 163330.00 T
Наличие на складе: Нет в наличии.

Discrete data analysis with r

Автор: Friendly, Michael Meyer, David
Название: Discrete data analysis with r
ISBN: 149872583X ISBN-13(EAN): 9781498725835
Издательство: Taylor&Francis
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Цена: 93910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.


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