Muestreo estadístico en poblaciones finitas

Este libro presenta las técnicas de muestreo estadístico en su doble faceta teórica y práctica, al tiempo que proporciona el material básico para plantear y resolver correctamente un problema general de estimación en el entorno del Muestreo en Poblaciones Finitas. Se estructura en 8 capítulos ...

Principios de probabilidad, variables aleatorias y señales aleatorias

La cuarta edición del texto trata de manera clara y concisa la teoría de la probabilidad, de las variables aleatorias y de las señales aleatorias, incluyendo la respuesta de las redes lineales a formas de onda aleatorias. El enfoque del libro, que pone énfasis en ...

¿Podemos creer en los sondeos?

¿Podemos creer en los sondeos? ¿Cómo se interpretan sus resultados? ¿ Por qué solamente se pregunta a unas pocas personas? ¿Hay sondeos más fiables que otros? ¿Qué es lo que nos pueden decir y qué no? ¿Cómo se eligen las personas encuestadas? ¿Es posible percibir si ...

Linear model theory

univariate, multivariate, and mixed models

"Fundamentals of Multivariate Linear Models: Theory and Application" consists of five parts. Part 1 centers on brief, clear mathematical statements of notation, assumptions, and formulas. Real data examples illustrate and motivate students. Part 2 consists of mathematical prerequisites (matrix algebra and the fundamentals of multivariate ...

An introduction to Bayesian Analysis

theory and methods

This book is a contemporary introduction to theory, methods and computation in Bayesian Analysis. It focuses on topics that have stood the test of time and emerging areas such as reference priors, objective Bayes testing, Bayesian model selection and wavelets. No other such book is ...

Competing risks

a practical perspective

The need to understand, interpret and analyse competing risk data is key to many areas of science, particularly medical research. There is a real need for a book that presents an overview of methodology used in the interpretation and analysis of competing risks, with a ...

Introduction to linear regression analysis

This work provides a comprehensive and up-to-date introduction to the fundamentals of regression analysis. The Fourth Edition of "Introduction to Linear Regression Analysis" describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research ...

Cycle representations of Markov processes

This book is a prototype providing new insight into Markovian dependence via the cycle decompositions. It presents a systematic account of a class of stochastic processes known as cycle (or circuit) processes - so-called because they may be defined by directed cycles. These processes have special ...

Modeling risk

applying Monte Carlo simulation, real options analysis, forecasting, and optimization techniques

Divided into nine information-packed parts, Modeling Risk provides both a qualitative and quantitative description of risk, as well as an introduction to the methods used to identify, predict, quantify, value, hedge, diversify, and manage it.

Introduction to mixed modelling

beyond regression and analysis of variance

Mixed modelling is one of the most promising and exciting areas of statistical analysis, enabling more powerful interpretation of data through the recognition of random effects. However, many perceive mixed modelling as an intimidating and specialized technique. This book introduces mixed modelling analysis in a ...

Pronósticos en los negocios

INDICE: Capítulo 1. Introducción a los pronósticos. Capítulo 2. Revisión de conceptos estadísticos básicos. Capítulo 3. Exploración de los patrones de datos y selección de la técnica de pronóstico. Capítulo 4. Promedios móviles y métodos de suavizamiento. Capítulo 5. Series de tiempo y sus componentes ...

Principles of statistical infere

In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational issues that have been keenly argued for more than two- hundred years. Continuing a ...

Multivariate statistical analysis

a high-dimensional approach

Presents a new branch of mathematical statistics aimed at constructing unimprovable methods of multivariate analysis, multi-parametric estimation, and discriminant and regression analysis. In contrast to the traditional consistent Fisher method of statistics, the essentially multivariate technique is based on the decision function approach by A ...

Conditional specification of statistical models

The concept of conditional specification of distributions is not new but, except in normal families, it has not been well developed in the literature. Computational difficulties undoubtedly hindered or discouraged developments in this direction. However, such roadblocks are of dimished importance today. Questions of compatibility ...

Ejercicios de inferencia estadística y muestreo para economía y administración de empresas

Esta obra contiene problemas y ejercicios elaborados para utilizar las herramientas estadísticas en situaciones prácticas y reales que facilitarán, al estudiante universitario de estadística, la comprensión de los contenidos teóricos de esta materia. El libro se estructura en seis capítulos dedicados a distribuciones en el ...

Modelos estadísticos aplicados

Estudio de estadística aplicada que analiza dos tipos de modelos muy usados en el trabajo con conjuntos de datos multivariantes, los de diseño de experimentos y los de regresión.

Using SPSS for Windows

data analysis and graphics

Estadística aplicada

Muestreo estadístico

conceptos y problemas resueltos

Analysis of microdata

The book provides a simple, intuitive introduction to regression models for qualitative and discrete dependent variables, to sample selection models, and to event history models, all in the context of maximum likelihood estimation. It presents a wide range of commonly used models. The book thereby ...