This is an updated version of what is still the only text to address basic questions about how to model uncertainty in mathematical programming, including how to reformulate a deterministic model so that it can be analyzed in a stochastic setting.
This book introduces and discusses the most important aspects of clinical research methods and biostatistics for oncologists, pursuing a tailor-made and practical approach.
This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences.
This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data.
Das vorliegende Buch soll einen ersten Eindruck von den Möglichkeiten des Programmsystems SPSS vermitteln und die ersten eigenen Anwendungen erleichtern.
Computational Methods in Finance is a book developed from the author's courses at Columbia University and the Courant Institute of New York University.
Este libro aparece tras varios años de experiencia dictando el curso Tópicos avanzados de análisis de supervivencia dentro del plan de estudios del doctorado en Ciencias Estadísticas de la Universidad Nacional de Colombia, sede Medellín, y tiene la ventaja de estar escrito en español.
Uno de los principios epistemológicos de valoración de la ciencia es que todo saber debe estar en la posesión de un objeto que causa, motiva y aviva el conocimiento.
This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level.
This book presents the theory of rational decisions involving the selection of stopping times in observed discrete-time stochastic processes, both by single and multiple decision-makers.
This book is written for the Six Sigma Black Belt who needs an understanding of many statistical methods but does not use all of these methods every day.
This book is written for the Six Sigma Black Belt who needs an understanding of many statistical methods but does not use all of these methods every day.
Many reliability engineers are gainfully employed in considerations of the physical nature of components and systems-bringing to bear theories and methodologies of physics, electronics, mechanics, material science, chemistry, and so on.
