Advances in Data Analysis. Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks.

Skiadas, Christos H. (Ed.)

ISBN 10: 0817647988 / ISBN 13: 9780817647988

Editore: Boston, Springer., 2010

Riguardo questo articolo

XXIII, 364 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Gestempelt. Sprache: Englisch.

Codice articolo 4714DB

Dati bibliografici

• Titolo: Advances in Data Analysis. Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks.
• Editore: Boston, Springer.
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 0817647988
• ISBN 13: 9780817647988
• Rilegatura: Rilegato
• Cataloghi dei venditori:
  • Mathematik

Descrizione articolo

Riassunto

An outgrowth of the 12^th International Conference on Applied Stochastic Models and Data Analysis, this book is a collection of invited chapters presenting recent developments in the field of data analysis, with applications to reliability and inference, data mining, bioinformatics, lifetime data, and neural networks.

Emphasized throughout the volume are new methods with the potential for solving real-world problems in various areas, including data mining and text mining, information theory and statistical applications, asymptotic behaviour of stochastic processes and random fields, bioinformatics and Markov chains, life table data, survival analysis, and risk in household insurance, neural networks and self-organizing maps, parametric and nonparametric statistics, and statistical theory and methods.

Advances in Data Analysis is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.

Dalla quarta di copertina

An outgrowth of the 12^th International Conference on Applied Stochastic Models and Data Analysis, this book is a collection of invited chapters presenting recent developments in the field of data analysis, with applications to reliability and inference, data mining, bioinformatics, lifetime data, and neural networks. Emphasized throughout the volume are new methods with the potential for solving real-world problems in various areas.

The book is divided into eight major sections:

* Data Mining and Text Mining

* Information Theory and Statistical Applications

* Asymptotic Behaviour of Stochastic Processes and Random Fields

* Bioinformatics and Markov Chains

* Life Table Data, Survival Analysis, and Risk in Household Insurance

* Neural Networks and Self-Organizing Maps

* Parametric and Nonparametric Statistics

* Statistical Theory and Methods

 

Advances in Data Analysis is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.