Monte Carlo statistical methods

Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition has been revised towards a coherent and flowing coverage of these simulation techniques, with incorporation of the most ...

Estadística para administradores

estadística sea más fácil de aprender; cubrir más temas de estadística; evitar la notación matemática complicada, y mantener un enfoque con base en el mundo real y actual. Se ha aumentado el material sobre prueba de hipótesis y se ha agregado un capítulo sobre calidad ...

Estadística elemental

lo esencial

Robert R. Johnson y Patricia Kuby, dos de los más respetados profesores de estadística, crearon el concepto de "lo esencial", pensando en un enfoque muy práctico de la estadística; y no sólo eso, también está diseñado para el estudiante que no tiene una amplia base ...

Muestreo estadístico

El propósito de este libro es presentar las técnicas de muestreo estadístico en su doble faceta teórica y práctica. El texto, estructurado en ocho capítulos, comienza presentando los conceptos básicos para seleccionar muestras y continúa desarrollando las diferentes técnicas de muestreo como son: muestreo aleatorio ...

A handbook of statistical analyses using SPSS

This title describes how to conduct a range of univariate and multivariate statistical analyses using the latest version of the Statistical Package for the Social Sciences, SPSS 11. Each chapter addresses a different type of analytical procedure applied to one or more data sets, primarily ...

Computational methods in statistics and econometrics

Reflecting current technological capacities and analytical trends, Computational Methods in Statistics and Econometrics showcases Monte Carlo and nonparametric statistical methods for models, simulations, analyses, and interpretations of statistical and econometric data#benefiting from straightforward explanations of mathematical concepts, hundreds of figures and tables, and a ...

Marketing research

with SPSS 11.0

Presents marketing research through the eyes of a manger using and purchasing research information, while maintaining solid, competitive coverage of quantitative methods. ÍNDICE 1. The Role of Marketing Research in Management Decision Making. 2. The Marketing Research Industry. 3. Problem Definition and the Research Process ...

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 ...

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 ...

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 ...

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 ...

Foundations of risk analysis

a knowledge and decision-oriented perspective

Everyday we face decisions that carry an element of risk and uncertainty. The ability to analyse, communicate and control the level of risk entailed by these decisions remains one of the most pressing challenges to the analyst, scientist and manager. This book presents the foundational ...

Regresión logística

Regresión Logística es una monograma que contiene los elementos básicos de las técnicas estadístico-inferenciales más empleadas en la producción científica contemporánea. Por su conducto se ofrece un panorama general sobre algunas de las diversas posibilidades que ofrece este método estadístico, los fundamentos en que reposa ...

La política de los grandes números

historia de la razón estadística

La historia del cálculo probabilístico y de las mediciones estadísticas se encuentra íntimamente ligada a la domesticación del riesgo, la gestación de los Estados modernos y el control de la reproducción biológica y económica de las sociedades. El desempleo, la inflación, el producto nacional bruto ...

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 ...

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 ...

Statistical analysis of stochastic processes in time

Many observed phenomena, from the changing health of a patient to values on the stock market, are characterised by quantities that vary over time: stochastic processes are designed to study them. Much theoretical work has been done but virtually no modern books are available to ...

Estadística práctica con Minitab

Este libro explica cómo se aplican las técnicas estadísticas más relevantes en el contexto del control y la mejora de la calidad usando Minitab. Se ha utilizado un estilo que va al grano, con muchos gráficos, donde #se ve# cómo hay que hacer las cosas ...