Read and Download eBook Full
Author: PEREZ LOPEZ, CESAR
Publisher: Ediciones Paraninfo, S.A.
Published: 2006-01-01
Total Pages: 372
ISBN-13: 8497323769
DOWNLOAD EBOOKEn este libro se recoge una coleccion de problemas de econometria, de modo que sean inteligibles por lectores con formacion basica en la materia. Los capitulos comienzan describiendo las tecnicas econometricas y presentando a continuacion la forma de tratarlas mediante ejemplos practicos resueltos con el programa EVIEWS.
Author: CESAR PEREZ LOPEZ
Publisher: Ediciones Paraninfo, S.A
Published: 2006-04-17
Total Pages:
ISBN-13: 9788413675152
DOWNLOAD EBOOKAuthor: R. Carter Hill
Publisher:
Published: 2017
Total Pages:
ISBN-13: 9781119320951
DOWNLOAD EBOOKRevised edition of the authors' Principles of econometrics, c2011.
Author: Taborda, Rodrigo
Publisher: Editorial Universidad del Rosario
Published: 2016-04-29
Total Pages: 229
ISBN-13: 9587387120
DOWNLOAD EBOOKEsta obra presenta material básico de estudio, mediante ejercicios resueltos, para un curso de econometría. Se cubren diferentes temas del contenido mínimo de tal curso, como: regresión lineal simple, regresión lineal múltiple, métodos para datos con estructura de panel y procedimientos asociados a la inferencia, especificación y estimación. El libro complementa, y en absoluto reemplaza, el ejercicio de aprendizaje del estudiante de un curso que siga textos de teoría de econometría. Al inicio de cada capítulo se hace una corta justificación de la importancia de las preguntas propuestas. El capítulo final contiene el código en Stata para generar figuras y tablas presentadas a lo largo del libro.
Author: Zura Kakushadze
Publisher: Springer
Published: 2018-12-13
Total Pages: 480
ISBN-13: 3030027929
DOWNLOAD EBOOKThe 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.
Author: Dominick Salvatore
Publisher:
Published: 1983
Total Pages: 201
ISBN-13: 9789684514348
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1956
Total Pages: 656
ISBN-13:
DOWNLOAD EBOOKAuthor: Deborah J. Rumsey
Publisher: John Wiley & Sons
Published: 2016-06-07
Total Pages: 423
ISBN-13: 1119293529
DOWNLOAD EBOOKThe fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.
Author:
Publisher:
Published: 2013
Total Pages: 1880
ISBN-13:
DOWNLOAD EBOOKAuthor: Kenneth Train
Publisher: MIT Press
Published: 1986
Total Pages: 282
ISBN-13: 9780262200554
DOWNLOAD EBOOKThis 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.
