Modelos aleatorios en Ingeniería
Modelos aleatorios en Ingeniería

Author: BLASCO LORENZO, ÁNGEL

Publisher: Ediciones Paraninfo, S.A.

Published: 2015-01-01

Total Pages: 280

ISBN-13: 8428337233

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El azar está presente en buena parte de los problemas a que debe enfrentarse un ingeniero en su vida profesional. En el campo de las telecomunicaciones, por ejemplo, fenómenos como la aparición de ruido en un canal de transmisión o el acceso de usuarios a un determinado servicio de red a lo largo del tiempo no pueden ser modelizados de forma determinista, debido a la alta complejidad de los sistemas involucrados. Este libro proporciona una panorámica general de los principales problemas tratados por la Teoría de la Probabilidad y sus aplicaciones en la ingeniería. Se parte de los modelos más sencillos, las variables aleatorias, y se va profundizando hasta plantear otros de mayor complejidad, como los procesos aleatorios de Poisson y Wiener (movimiento browniano), las cadenas de Markov o los modelos exponenciales usados en Teoría de Colas. El libro está dirigido a estudiantes de los distintos grados de ingeniería, informática y ciencias en general.

Olicognografia
Olicognografia

Author: Olivier T. Godichet

Publisher: Lulu.com

Published: 2012-11-14

Total Pages: 285

ISBN-13: 1291192239

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Oli: para oligo, en cada niveles algunas opciones de palabras claves, sobre algunos niveles Cogno: para conocimiento, articulacion de conceptos claves, para integrar democraticamente y en grupos operativos Grafia: para une dibujo de grafos geometricamente logicos. En total, un marco logico para caracterizar situaciones teoricas y aplicadas. Por le tanto una metodologia, aplicada para aprender en estructurar marcos logicos integros. 50 ejemplos de aplicacion en muchos registros de ciencias desde la filosofia hasta las ciencias sociales; epistemologias cuya filosofia de diseño se presta al manejo democratico de programas compartidos.

Design and Analysis of Experiments
Design and Analysis of Experiments

Author: Douglas C. Montgomery

Publisher: Wiley

Published: 2005

Total Pages: 0

ISBN-13: 9780471661597

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This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.

Revista
Revista

Author: Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología

Publisher:

Published: 1964

Total Pages: 578

ISBN-13:

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Qualitative Choice Analysis
Qualitative Choice Analysis

Author: Kenneth Train

Publisher: MIT Press

Published: 1986

Total Pages: 282

ISBN-13: 9780262200554

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This book addresses two significant research areas in an interdependent fashion. It is first of all a comprehensive but concise text that covers the recently developed and widely applicable methods of qualitative choice analysis, illustrating the general theory through simulation models of automobile demand and use. It is also a detailed study of automobile demand and use, presenting forecasts based on these powerful new techniques. The book develops the general principles that underlie qualitative choice models that are now being applied in numerous fields in addition to transportation, such as housing, labor, energy, communications, and criminology. The general form, derivation, and estimation of qualitative choice models are explained, and the major models - logit, probit, and GEV - are discussed in detail. And continuous/discrete models are introduced. In these, qualitative choice methods and standard regression techniques are combined to analyze situations that neither alone can accurately forecast. Summarizing previous research on auto demand, the book shows how qualitative choice methods can be used by applying them to specific auto-related decisions as the aggregate of individuals' choices. The simulation model that is constructed is a significant improvement over older models, and should prove more useful to agencies and organizations requiring accurate forecasting of auto demand and use for planning and policy development. The book concludes with an actual case study based on a model designed for the investigations of the California Energy Commission. Kenneth Train is Visiting Associate Professor in Economics at the University of California, Berkeley, and Director of Economic Research at Cambridge Systematics, Inc., also in Berkeley. Qualitative Choice Analysisis included in The MIT Press Transportation Studies Series, edited by Marvin L. Manheim.

Introduction to Data Science and Machine Learning
Introduction to Data Science and Machine Learning

Author: Keshav Sud

Publisher: BoD – Books on Demand

Published: 2020-03-25

Total Pages: 233

ISBN-13: 1838803335

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Introduction to Data Science and Machine Learning has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application development using open-source programming from start to finish. This book is divided into four sections: the first section contains an introduction to the book, the second covers the field of data science, software development, and open-source based embedded hardware; the third section covers algorithms that are the decision engines for data science applications; and the final section brings together the concepts shared in the first three sections and provides several examples of data science applications.

Optimal Regulation
Optimal Regulation

Author: Kenneth Train

Publisher: Mit Press

Published: 1991

Total Pages: 338

ISBN-13: 9780262200844

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Optimal Regulation addresses the central issue of regulatory economics - how toregulate firms in a way that induces them to produce and price "optimally." It synthesizes the majorfindings of an extensive theoretical literature on what constitutes optimality in various situationsand which regulatory mechanisms can be used to achieve it. It is the first text to provide aunified, modern, and nontechnical treatment of the field.The book includes models for regulatingoptimal output, tariffs, and surplus subsidy schemes, and presents all of the material graphically,with clear explanations of often highly technical topics.Kenneth E. Train is Associate AdjunctProfessor in the Department of Economics and Graduate School of Public Policy at the University ofCalifornia, Berkeley. He is also Principal of the firm Cambridge Systematics.Topics include: Thecost structure of natural monopoly (economies of scale and scope). Characterization of firstandsecond-best optimality. Surplus subsidy schemes for attaining first-best optimality. Ramsey pricesand the Vogelsang-Finsinger mechanism for attaining them. Time-ofuse (TOU) prices and Riordan'smechanisms for attaining the optimal TOU prices' Multipart and self-selecting tariffs, and Sibley'smethod for using self-selecting tariffs to achieve optimality. The Averch-Johnson model of howrate-of-return regulation induces inefficiencies. Analysis of regulation based on the firm's returnon Output, costs, or sales. Price-cap regulation. Regulatory treatment of uncertainty and its impacton the firm's behavior. Methods of attaining optimality without direct regulation (contestability,auctioning the monopoly franchise.)

Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation
Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation

Author: Lorenzo Cevallos-Torres

Publisher: Springer

Published: 2019-03-11

Total Pages: 144

ISBN-13: 3030133931

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This book describes and outlines the theoretical foundations of system simulation in teaching, and as a practical contribution to teaching-and-learning models. It presents various methodologies used in teaching, the goal being to solve real-life problems by creating simulation models and probability distributions that allow correlations to be drawn between a real model and a simulated model. Moreover, the book demonstrates the role of simulation in decision-making processes connected to teaching and learning.

Mathematical Modeling and Simulation
Mathematical Modeling and Simulation

Author: Kai Velten

Publisher: John Wiley & Sons

Published: 2009-06-01

Total Pages: 362

ISBN-13: 3527627618

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This concise and clear introduction to the topic requires only basic knowledge of calculus and linear algebra - all other concepts and ideas are developed in the course of the book. Lucidly written so as to appeal to undergraduates and practitioners alike, it enables readers to set up simple mathematical models on their own and to interpret their results and those of others critically. To achieve this, many examples have been chosen from various fields, such as biology, ecology, economics, medicine, agricultural, chemical, electrical, mechanical and process engineering, which are subsequently discussed in detail. Based on the author`s modeling and simulation experience in science and engineering and as a consultant, the book answers such basic questions as: What is a mathematical model? What types of models do exist? Which model is appropriate for a particular problem? What are simulation, parameter estimation, and validation? The book relies exclusively upon open-source software which is available to everybody free of charge. The entire book software - including 3D CFD and structural mechanics simulation software - can be used based on a free CAELinux-Live-DVD that is available in the Internet (works on most machines and operating systems).