Modelo de Regresion Semiparametrico Con Datos Censurados
Modelo de Regresion Semiparametrico Con Datos Censurados

Author: Jorge Iván Jiménez Gómez

Publisher: Eae Editorial Academia Espanola

Published: 2013

Total Pages: 68

ISBN-13: 9783659076770

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Muchos estudios estan asociados con la modelacion de una variable que se refiere a la duracion. A traves de la historia se han realizado estudios cuya investigacion esta centrada en el analisis de dicha variable, ejemplo: tiempo de sobrevivencia de un individuo desde que se le diagnostica una enfermedad hasta que muere. Un aspecto fundamental a tener en cuenta esta relacionado con el tipo de datos utilizados, en los cuales por su misma naturaleza esta presente la censura. Construir modelos que representen de manera adecuada el proceso generador de datos para una variable temporal es el objeto de estudio. El objetivo es extender los resultados de Cox y Stute y analizar una variable cuya informacion estara recogida en forma no parametrica. La parte relevante lo constituye la forma en que es recogido el efecto que una variable temporal ejerce sobre la variable asociada con la sobrevivencia, la cual modelaremos. Luego se presenta un caso de aplicacion donde se analizan datos sobre eventos coronarios, se exponen resultados que permiten obtener conclusiones representativas que seran de utilidad en la toma de decisiones.

Soft Methodology and Random Information Systems
Soft Methodology and Random Information Systems

Author: Miguel Concepcion Lopez-Diaz

Publisher: Springer Science & Business Media

Published: 2013-06-05

Total Pages: 769

ISBN-13: 3540444653

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The analysis of experimental data resulting from some underlying random process is a fundamental part of most scientific research. Probability Theory and Statistics have been developed as flexible tools for this analyis, and have been applied successfully in various fields such as Biology, Economics, Engineering, Medicine or Psychology. However, traditional techniques in Probability and Statistics were devised to model only a singe source of uncertainty, namely randomness. In many real-life problems randomness arises in conjunction with other sources, making the development of additional "softening" approaches essential. This book is a collection of papers presented at the 2nd International Conference on Soft Methods in Probability and Statistics (SMPS’2004) held in Oviedo, providing a comprehensive overview of the innovative new research taking place within this emerging field.

The Mathematics of the Uncertain
The Mathematics of the Uncertain

Author: Eduardo Gil

Publisher: Springer

Published: 2018-02-28

Total Pages: 897

ISBN-13: 3319738488

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This book is a tribute to Professor Pedro Gil, who created the Department of Statistics, OR and TM at the University of Oviedo, and a former President of the Spanish Society of Statistics and OR (SEIO). In more than eighty original contributions, it illustrates the extent to which Mathematics can help manage uncertainty, a factor that is inherent to real life. Today it goes without saying that, in order to model experiments and systems and to analyze related outcomes and data, it is necessary to consider formal ideas and develop scientific approaches and techniques for dealing with uncertainty. Mathematics is crucial in this endeavor, as this book demonstrates. As Professor Pedro Gil highlighted twenty years ago, there are several well-known mathematical branches for this purpose, including Mathematics of chance (Probability and Statistics), Mathematics of communication (Information Theory), and Mathematics of imprecision (Fuzzy Sets Theory and others). These branches often intertwine, since different sources of uncertainty can coexist, and they are not exhaustive. While most of the papers presented here address the three aforementioned fields, some hail from other Mathematical disciplines such as Operations Research; others, in turn, put the spotlight on real-world studies and applications. The intended audience of this book is mainly statisticians, mathematicians and computer scientists, but practitioners in these areas will certainly also find the book a very interesting read.

Modern Mathematical Tools and Techniques in Capturing Complexity
Modern Mathematical Tools and Techniques in Capturing Complexity

Author: Leandro Pardo

Publisher: Springer

Published: 2011-05-26

Total Pages: 498

ISBN-13: 3642208533

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Real-life problems are often quite complicated in form and nature and, for centuries, many different mathematical concepts, ideas and tools have been developed to formulate these problems theoretically and then to solve them either exactly or approximately. This book aims to gather a collection of papers dealing with several different problems arising from many disciplines and some modern mathematical approaches to handle them. In this respect, the book offers a wide overview on many of the current trends in Mathematics as valuable formal techniques in capturing and exploiting the complexity involved in real-world situations. Several researchers, colleagues, friends and students of Professor María Luisa Menéndez have contributed to this volume to pay tribute to her and to recognize the diverse contributions she had made to the fields of Mathematics and Statistics and to the profession in general. She had a sweet and strong personality, and instilled great values and work ethics in her students through her dedication to teaching and research. Even though the academic community lost her prematurely, she would continue to provide inspiration to many students and researchers worldwide through her published work.