Kategoria BISAC: Computers >> Mathematical & Statistical Software

The objective of Kai Zhang and his research is to assess the existing process monitoring and fault detection (PM-FD) methods. His aim is to provide suggestions and guidance for choosing appropriate PM-FD methods, because the performance assessment study for PM-FD methods has become an area of interest in both academics and industry. The author first compares basic FD statistics, and then assesses different PM-FD methods to monitor the key performance indicators of static processes, steady-state dynamic processes and general dynamic processes including transient states. He validates the...

This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective.

The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and learning principles, and reviews real-world applications for each type of model. These applications are drawn from a broad range of disciplines, highlighting the many uses of Bayesian classifiers, hidden Markov models, Bayesian networks, dynamic and temporal Bayesian networks, Markov random fields, influence diagrams, and Markov decision...

Starting with an introduction to the numerous features of Mathematica(R), this book continues with more complex material. It provides the reader with lots of examples and illustrations of how the benefits of Mathematica(R) can be used.

Composed of eleven chapters, it includes the following:

• A chapter on several sorting algorithms
• Functions (planar and solid) with many interesting examples
• Ordinary differential equations
• Advantages of Mathematica(R) dealing with the Pi number
• The power of Mathematica(R) working with...

This book can be used as a stand-alone resource for working...

This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R. It covers mathematical, statistical as well as programming problems in computational statistics and contains a wide variety of practical examples. In addition to the numerous R sniplets presented in the text, all computer programs (quantlets) and data sets to the book are available on GitHub and referred to in the book. This enables the reader to fully reproduce as well as modify...

SAS Visual Analytics automatically highlights key relationships, outliers,...

This manual is the definitive guide to GNU Octave, an interactive environment for numerical computation. GNU Octave provides a convenient command-line interface for solving linear and nonlinear problems using vectors and matrices. This updated edition of the manual covers version 4.2.1 of GNU Octave, and includes documentation for new features such as the new graphical userinterface, sparse matrices, linear programming and computational geometry. GNU Octave is free software, distributed under the GNU General Public License (GPL).

This Special Issue "Differential Geometrical Theory of Statistics" collates selected invited and contributed talks presented during the conference GSI'15 on "Geometric Science of Information" which was held at the Ecole Polytechnique, Paris-Saclay Campus, France, in October 2015 (Conference web site: http://www.see.asso.fr/gsi2015).