Provides readers with the methods, algorithms, and means to perform text mining tasks
This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet (www.perl.org). It covers mining ideas from several perspectives—statistics, data mining,...
Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to...
Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and...
Polynomial optimization, as its name suggests, is used to optimize a generic
multivariate polynomial function, subject to some suitable polynomial equality
and/or inequality constraints. Such problem formulation dates back to the nineteenth
century when the relationship between nonnegative polynomials and sum of squares
(SOS) was...
An easily accessible, real-world approach to probability and stochastic processes
Introduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand treatment of probability and stochastic processes, providing readers with a solid foundation they can build upon throughout their...
The use of open-source software (OSS)--readable software source code that can be copied, modified, and distributed freely--has expanded dramatically in recent years. The number of OSS projects hosted on SourceForge.net (the largest hosting Web site for OSS), for example, grew from just over 100,000 in 2006 to more than 250,000 at the...
This title is your complete documentation source for SAS/INSIGHT software, including a usage section that explains how to accomplish particular tasks as well as a reference section that provides comprehensive descriptions of data, graphs, and analyses.
SAS/INSIGHT software is a tool for data exploration and analysis. With it you can...
Elliptically Contoured Models in Statistics and Portfolio Theory fully revises the first detailed introduction to the theory of matrix variate elliptically contoured distributions. There are two additional chapters, and all the original chapters of this classic text have been updated. Resources in this book will be valuable for researchers,...
Reveals How HMMs Can Be Used as General-Purpose Time Series Models
Implements all methods in R Hidden Markov Models for Time Series: An Introduction Using R applies hidden Markov models (HMMs) to a wide range of time series types, from continuous-valued, circular, and...
The small book ‘‘SPSS for Starters’’ issued in 2010 presented 20 chapters of
cookbook like step by step data-analyses of clinical research, and was written to
help clinical investigators and medical students analyze their data without the help
of a statistician. The book served its purpose well enough, since...
