Análisis de regresión múltiple

La regresión múltiple es quizás el método estadístico empleado con mayor frecuencia en las ciencias sociales. En este cuaderno se introducen los supuestos y técnicas básicas. El enfoque es aplicado, con ejemplos prácticos y presentaciones gráficas. Se abordan también los últimos avances realizados en estadística ...

Métodos matemáticos

INDICE: GEOMETRIA: Trigonometría plana.- Trigonometría esférica.- Curvas.- Superfícies.- ESTADISTICA: Estadítica descriptiva.- Variables aleatorias discretas.- Variables aleatorias continuas.- Inferencia estadística.- METODOS NUMERICOS: Interpolación polinómica.- Integración numérica.- Statgraphics.- Bibliografía

Manual básico de matemáticas empresariales

Este manual se ha concebido pensando en el público objetivo que son los estudiantes de los Grados en Economía y Administración de Empresas Por ello, este texto se desarrolla usando un lenguaje próximo, prescindiendo de la formulación matemática que no sea necesaria para abordar los ...

Elementos de cálculo para matemáticas empresariales

El público objetivo de este manual son todos aquellos estudiantes que quieran iniciar estudios en la Universidad y que tengan que cursar una asignatura de matemáticas en su plan de estudios. Inicialmente está pensado para los estudiantes de cualquier grado en el ámbito de las ...

Problemas resueltos de estadística para las ciencias sociales

Problemas resueltos de estadística para las ciencias sociales es un libro dirigido tanto a estudiantes universitarios como a profesionales interesados en la ciencia estadística y con un claro objetivo de aprendizaje práctico. Se trata de una guía para resolver infinidad de cuestiones estadísticas planteadas en ...

How to predict the unpredictable

the art of outsmarting almost everyone

We are hard-wired to believe that the world is more predictable than it is. We chase 'winning streaks' that are often just illusions, and we are all too predictable exactly when we try hardest not to be. In the 1970s, Daniel Kahneman and Amos Tversky ...

Empirical model discovery and theory evaluation

automatic selection methods in econometrics

Economic models of empirical phenomena are developed for a variety of reasons, the most obvious of which is the numerical characterization of available evidence, in a suitably parsimonious form. Another is to test a theory, or evaluate it against the evidence; still another is to ...

Introductory Econometrics for finance

This bestselling and thoroughly classroom-tested textbook is a complete resource for finance students. A comprehensive and illustrated discussion of the most common empirical approaches in finance prepares students for using econometrics in practice, while detailed case studies help them understand how the techniques are used ...

Portfolio theory and risk management

With its emphasis on examples, exercises and calculations, this book suits advanced undergraduates as well as postgraduates and practitioners. It provides a clear treatment of the scope and limitations of mean-variance portfolio theory and introduces popular modern risk measures. Proofs are given in detail, assuming ...

Introductory Econometrics for finance

This bestselling and thoroughly classroom-tested textbook is a complete resource for finance students. A comprehensive and illustrated discussion of the most common empirical approaches in finance prepares students for using econometrics in practice, while detailed case studies help them understand how the techniques are used ...

Taming the unknown

a history of algebra from Antiquity to the Early Twentieth Century

What is algebra? For some, it is an abstract language of x's and y's. For mathematics majors and professional mathematicians, it is a world of axiomatically defined constructs like groups, rings, and fields. Taming the Unknown considers how these two seemingly different types ...

Time series analysis and adjustmen

measuring, modelling and forecasting for business and economics

In Time Series Analysis and Adjustment the authors explain how the last four decades have brought dramatic changes in the way researchers analyse economic and financial data on behalf of economic and financial institutions and provide statistics to whomsoever requires them. Such analysis has long ...

High-frequency financial econometrics

High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability ...

Financial mathematics

a comprehensive treatment

Versatile for Several Interrelated Courses at the Undergraduate and Graduate Levels Financial Mathematics: A Comprehensive Treatment provides a unified, self-contained account of the main theory and application of methods behind modern-day financial mathematics. Tested and refined through years of the authors' teaching experiences, the book ...

Big Data

análisis de grandes volúmenes de datos en organizaciones

Big Data (grandes vol·menes de datos o macrodatos) supone la confluencia de una multitud de tendencias tecnológicas que venían madurando desde la primera dÚcada del siglo cuando han explosionado e irrumpido con gran fuerza en organizaciones y empresas, en particular, y en la sociedad ...

Applied bayesian modelling

This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using ...

A practical guide to price index and hedonic techniques

This book provides an accessible guide to price index and hedonic techniques, with a focus on how to best apply these techniques and interpret the resulting measures. One goal of this book is to provide first-hand experience at constructing these measures, with guidance on practical ...

Cálculo numérico

La presente monografía consta de ocho primeros temas que constituirían un curso básico de Análisis Numérico. En ellos encontramos una breve introducción de esta parte de la Matemática Aplicada más siete capítulos que presentan los métodos numéricos más conocidos para la aproximación de sistemas lineales ...

Quantitative finance

a simulation-based introduction using Excel

Teach Your Students How to Become Successful Working Quants Quantitative Finance: A Simulation-Based Introduction Using Excel provides an introduction to financial mathematics for students in applied mathematics, financial engineering, actuarial science, and business administration. The text not only enables students to practice with the basic ...

Essential demographie methods

"Essential Demographic Methods "brings to readers the full range of ideas and skills of demographic analysis that lie at the core of social sciences and public health. Classroom tested over many years, filled with fresh data and examples, this approachable text is tailored to the ...