Auteur: James E. Gentle

Ondersteuning
James E. Gentle is University Professor of Computational Statistics at George Mason University. He is a Fellow of the American Statistical Association (ASA) and of the American Association for the Advancement of Science. He has held several national offices in the ASA and has served as associate editor of journals of the ASA as well as for other journals in statistics and computing. He is author of Random Number Generation and Monte Carlo Methods and Matrix Algebra.




12 Ebooks door James E. Gentle

James E. Gentle: Computational Statistics
Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book …
PDF
Engels
DRM
€85.55
Jin-Chuan Duan & Wolfgang Karl Härdle: Handbook of Computational Finance
Any financial asset that is openly traded has a market price. Except for extreme market conditions, market price may be more or less than a “fair” value. Fair value is likely to be some complicated f …
PDF
Engels
€213.99
James E. Gentle & Wolfgang Karl Härdle: Handbook of Computational Statistics
The Handbook of Computational Statistics – Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the …
PDF
Engels
€309.23
James E. Gentle: Random Number Generation and Monte Carlo Methods
Monte Carlo simulation has become one of the most important tools in all fields of science. Simulation methodology relies on a good source of numbers that appear to be random. These …
PDF
Engels
DRM
€101.85
James E. Gentle: Elements of Computational Statistics
In recent years developments in statistics have to a great extent gone hand in hand with developments in computing. Indeed, many of the recent advances in statistics have been dependent on advances …
PDF
Engels
DRM
€127.32
James E. Gentle: Matrix Algebra
Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix …
PDF
Engels
DRM
€114.52
William J. Kennedy: Statistical Computing
In this book the authors have assembled the "best techniques from a great variety of sources, establishing a benchmark for the field of statistical computing." —Mathematics of Computation …
EPUB
Engels
DRM
€64.18
William J. Kennedy: Statistical Computing
In this book the authors have assembled the "best techniques from a great variety of sources, establishing a benchmark for the field of statistical computing." —Mathematics of Computation …
PDF
Engels
DRM
€63.89
James E. Gentle: Numerical Linear Algebra for Applications in Statistics
Numerical linear algebra is one of the most important subjects in the field of statistical computing. Statistical methods in many areas of application require computations with vectors and matrices. …
PDF
Engels
DRM
€57.28
James E. Gentle: Random Number Generation and Monte Carlo Methods
The role of Monte Carlo methods and simulation in all of the sciences has in- creased in importance during the past several years. These methods are at the heart of the rapidly developing …
PDF
Engels
DRM
€92.23
James E. Gentle: Matrix Algebra
This textbook for graduate and advanced undergraduate students presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and …
EPUB
Engels
DRM
€139.80
James E. Gentle: Matrix Algebra
This book presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one …
EPUB
Engels
DRM
€114.65