Hierarchical modeling and analysis for spatial data

Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatio-temporal data from areas such as epidemiology And environmental science has proven particularly fruitful. Yet to date, the few books that address the subject have been either too narrowly ...

Diagnostic checks in time series

Diagnostic checking is an important step in the modeling process. But while the literature on diagnostic checks is quite extensive and many texts on time series modeling are available, it still remains difficult to find a book that adequately covers methods for performing diagnostic checks ...

Operational risk with Excel and VBA

applied statistical methods for risk management

Dr. Nigel Da Costa Lewis has produced the most exciting volume ever on operational risk modeling. It is a must for students, practitioners, risk managers, and senior executives. . . I feel this work is the first step in revolutionizing the discipline. Other books in this field ...

Panel data

theory and applications

The present book is a collection of panel data papers, both theoretical and applied. Theoretical topics include methodology papers on panel data probit models, treatment models, error component models with an ARMA process on the time specific effects, asymptotic tests for poolability and their bootstrapped ...

Financial derivatives in theory and practice

Originally published in 2000, Financial Derivatives in Theory and Practice is a complete, rigorous and readable account of the mathematics underlying derivative pricing and a guide to applying these ideas to solve real pricing problems. It is aimed at practitioners and researchers who wish to ...

Metadata for information management and retrieval

for information management and retrieval

What is metadata and what do I need to know about it? These are two key questions for the information professional operating in the digital age as more and more information resources are available in electronic format. This is a thought-provoking introduction to metadata written ...

Data mining

next generation challenges and future directions

Data mining, or knowledge discovery, has become an indispensable technology for businesses and researchers in many fields. Drawing on work in such areas as statistics, machine learning, pattern recognition, databases, and high performance computing, data mining extracts useful information from the large data sets now ...

Longitudinal and panel data

analysis and applications in the social sciences

This focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These models have found important applications within business, economics, education, political science and other social science disciplines. The author introduces the foundations of longitudinal and panel ...

Análisis multicriterio aplicado a la selección de carteras

Estadística aplicada

análisis de datos

La complejidad de la cooperación

modelos de cooperación y colaboración basados en los agentes

Robert Axelrod es un politólogo experto en la aplicación de modelos simulados por computadora en ciencias sociales. Durante la Guerra Fría abordó la llamada cooperación entre egoístas a partir del conocido Dilema del Prisionero. Actualmente, ante la complejidad de los conflictos, con múltiples y no ...

Diseño de encuestas para estudios de mercado

técnicas de muestreo y análisis multivariante

La primera parte, afrontaremos las principales etapas en las que puede subdividirse el diseño de una encuesta: la etapa previa de preparación y realización de los trabajos de campo de evaluación de trabajo de campo y tratamiento estadístico primario de los resultados obtenido. En la ...

Elementary probability theory

with stochastic processes and an introduction to mathematical finance

An introductory textbook on probability theory and its applications. The text examines basic concepts such as probability measure, random variable, distribution and expectation, fully treated without technical complications. Both the discrete and continuous cases are covered, but only the elements of calculus are used in ...

Lecciones de cálculo de probabilidades

curso teórico-práctico

Partial identification of probability distributions

Sample data alone never suffice to draw conclusions about populations. Inference always requires assumptions about the population and sampling process. Statistical theory has revealed much about how strength of assumptions affects the precision of point estimates, but has had much less to say about how ...

Aplicaciones diversas del análisis de varianza

diseños complejos, alternativas no paramétricas y similitud con otras técnicas de análisis de datos

Análisis estadístico con SPSS para Windows

.Volúmen II: estadística multivariante

Linear regression

The book covers the basic theory of linear regression models and presents a comprehensive survey of different estimation techniques as alternatives and complements to least squares estimation. The relationship between different estimators is clearly described and categories of estimators are worked out in detail. Proofs ...

The contigent valuation method in health care

an economic evaluation of Alzheimer´s disease

The Contingent Valuation Method in Health Care is offered as a contribution to improving instruments of political decision making in health care. At a fundamental level, it is about methodological aspects of the contingent valuation method. It gives a holistic view of applying the contingent ...

Reproducing Kernel Hilbert Spaces in probability and statistics

Since the first papers laying its foundations as a subfield of Complex Analysis the theory of reproducing kernel Hilbert spaces (RKHS) has proved to be a powerful tool in many fields of Pure and Applied Mathematics, and in particular in Probability and Statistics. Nowadays, the ...