Download or read book Matrices semipositivas y modelos lineales written by Antonio Villar and published by . This book was released on 1984 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Introducci n a la teor a de matrices positiva written by María Isabel García Planas and published by Universitat Politècnica de Catalunya. Iniciativa Digital Politècnica. This book was released on 2013-04-23 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Este libro trata, de forma comprensiva, de la teoría de matrices positivas y, más generalmente, de la teoría de matrices no negativas. Las matrices cuadradas de este tipo aparecen en una gran variedad de problemas, como pueden ser los estudios de procesos estocásticos, las cadenas de Markov, los modelos económicos y la teoría de la señal, entre otros. La teoría desarrollada en este libro es una parte del álgebra lineal que recientemente ha adquirido un nuevo auge, debido a su alto grado de aplicabilidad, pues algunos de los principales resultados han sido obtenidos en las últimas décadas. Este libro está estructurado en dos partes. La primera incluye todos los resultados de álgebra matricial y lineal necesarios para que esta obra sea autocontenida. La segunda parte está dedicada propiamente el estudio de las matrices no negativas y sus aplicaciones.

Download or read book lgebra matricial para econom a y empresa written by Javier Amós Barrios García and published by Delta Publicaciones. This book was released on 2006-02 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book MACHINE LEARNING T CNICAS DE APRENDIZAJE SUPERVISADO A TRAV S DE R written by Cesar Perez Lopez and published by CESAR PEREZ. This book was released on with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: En este libro se desarrollarán técnicas de aprendizaje supervisado relativas a regresión. Más concretamente, se profundizará en los modelos lineales de regresión múltiple con toda su problemática de identificación, estimación y diagnosis. Se hace especial hincapié en el tratamiento de la multicolinealidad a través de la Ridge Regression (regresión en cadena) y el método PLS de los mínimos cuadrados parciales. Se dedica una parcela importante del contenido a los modelos de variable dependiente limitada y recuento, con especial mención a los modelos Logit y Probit. Por último se tratan también los modelos predictivos del análisis de la varianza y la covarianza.

Download or read book Differential Equations and Boundary Value Problems written by Charles Henry Edwards and published by Pearson Educación. This book was released on 2000 with total page 816 pages. Available in PDF, EPUB and Kindle. Book excerpt: For introductory courses in Differential Equations. This text provides the conceptual development and geometric visualization of a modern differential equations course while maintaining the solid foundation of algebraic techniques that are still essential to science and engineering students. It reflects the new excitement in differential equations as the availability of technical computing environments likeMaple, Mathematica, and MATLAB reshape the role and applications of the discipline. New technology has motivated a shift in emphasis from traditional, manual methods to both qualitative and computer-based methods that render accessible a wider range of realistic applications. With this in mind, the text augments core skills with conceptual perspectives that students will need for the effective use of differential equations in their subsequent work and study.

Download or read book CIENCIA DE DATOS DIAGNOSIS DE MODELOS ECONOM TRICOS PREDICTIVOS written by and published by CESAR PEREZ. This book was released on with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: En este libro se tratan las fases de Análisis, Estimación y Validación de modelos profundizando en las técnicas de estimación y diagnosis para las tipologías de modelos más habitales. Se `profundiza en las problemáticas de la Autocorrelación, Heterescedasticidad, Multicolinealidad, Endogeneidad, Observaciones Influyentes, Normalidad Residual, Linealidad y otros problemas de diagnosis en los modelos predictivos de aprendizaje supervisado. Todas estas técnicas se ilustrarán con ejemplos significativos que serán resueltos utilizando el software más habitual, como R, SAS, SPSS y STATGRAPHICS.

Download or read book Host Bibliographic Record for Boundwith Item Barcode 30112044669122 and Others written by and published by . This book was released on 2013 with total page 2382 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Glosario Del Banco Mundial written by World Bank and published by World Bank Publications. This book was released on 1996 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edition of the World Bank has been revised and expanded by the Terminology Unit in the Languages Services Division of the World Bank in collaboration with the English, Spanish, and French Translation Sections. The Glossary is intended to assist the Bank's translators and interpreters, other Bank staff using French and Spanish in their work, and free-lance translator's and interpreters employed by the Bank. For this reason, the Glossary contains not only financial and economic terminology and terms relating to the Bank's procedures and practices, but also terms that frequently occur in Bank documents, and others for which the Bank has a preferred equivalent. Although many of these terms, relating to such fields as agriculture, education, energy, housing, law, technology, and transportation, could be found in other sources, they have been assembled here for ease of reference. A list of acronyms occurring frequently in Bank texts (the terms to which they refer being found in the Glossary) and a list of international, regional, and national organizations will be found at the end of the Glossary.

Download or read book Qualitative Choice Analysis written by Kenneth Train and published by MIT Press. This book was released on 1986 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book RETRACTED BOOK 151 Trading Strategies written by Zura Kakushadze and published by Springer. This book was released on 2018-12-13 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.

Download or read book Familias Latinas en Los Estados Unidos written by Sally Jones Andrade and published by . This book was released on 1983 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical Methods for Spatial Data Analysis written by Oliver Schabenberger and published by CRC Press. This book was released on 2004-12-20 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression, providing a detailed development of linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes. Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text, software code that can be used to implement many of the principal methods described and illustrated, and updates to the text itself.

Download or read book Optimal Regulation written by Kenneth Train and published by Mit Press. This book was released on 1991 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.)

Download or read book The Mathematics of the Uncertain written by Eduardo Gil and published by Springer. This book was released on 2018-02-28 with total page 897 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a tribute to Professor Pedro Gil, who created the Department of Statistics, OR and TM at the University of Oviedo, and a former President of the Spanish Society of Statistics and OR (SEIO). In more than eighty original contributions, it illustrates the extent to which Mathematics can help manage uncertainty, a factor that is inherent to real life. Today it goes without saying that, in order to model experiments and systems and to analyze related outcomes and data, it is necessary to consider formal ideas and develop scientific approaches and techniques for dealing with uncertainty. Mathematics is crucial in this endeavor, as this book demonstrates. As Professor Pedro Gil highlighted twenty years ago, there are several well-known mathematical branches for this purpose, including Mathematics of chance (Probability and Statistics), Mathematics of communication (Information Theory), and Mathematics of imprecision (Fuzzy Sets Theory and others). These branches often intertwine, since different sources of uncertainty can coexist, and they are not exhaustive. While most of the papers presented here address the three aforementioned fields, some hail from other Mathematical disciplines such as Operations Research; others, in turn, put the spotlight on real-world studies and applications. The intended audience of this book is mainly statisticians, mathematicians and computer scientists, but practitioners in these areas will certainly also find the book a very interesting read.

Download or read book Panel Data Econometrics written by Manuel Arellano and published by Oxford University Press. This book was released on 2003 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by one of the world's leading experts on dynamic panel data reviews, this volume reviews most of the important topics in the subject. It deals with static models, dynamic models, discrete choice and related models.

Download or read book Cuadernos de econom a written by and published by . This book was released on 2001 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Spatial Econometrics Methods and Models written by L. Anselin and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial econometrics deals with spatial dependence and spatial heterogeneity, critical aspects of the data used by regional scientists. These characteristics may cause standard econometric techniques to become inappropriate. In this book, I combine several recent research results to construct a comprehensive approach to the incorporation of spatial effects in econometrics. My primary focus is to demonstrate how these spatial effects can be considered as special cases of general frameworks in standard econometrics, and to outline how they necessitate a separate set of methods and techniques, encompassed within the field of spatial econometrics. My viewpoint differs from that taken in the discussion of spatial autocorrelation in spatial statistics - e.g., most recently by Cliff and Ord (1981) and Upton and Fingleton (1985) - in that I am mostly concerned with the relevance of spatial effects on model specification, estimation and other inference, in what I caIl a model-driven approach, as opposed to a data-driven approach in spatial statistics. I attempt to combine a rigorous econometric perspective with a comprehensive treatment of methodological issues in spatial analysis.