Background
Gentle, James Edward was born on May 31, 1943 in Statesville, North Carolina, United States. Son of Wint Farley and Vertie Mae (Pardue) Gentle.
(Will provide a more elementary introduction to these topi...)
Will provide a more elementary introduction to these topics than other books available; Gentle is the author of two other Springer books
http://www.amazon.com/gp/product/0387954899/?tag=2022091-20
( Monte Carlo simulation has become one of the most impor...)
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 "pseudorandom" numbers must pass statistical tests just as random samples would. Methods for producing pseudorandom numbers and transforming those numbers to simulate samples from various distributions are among the most important topics in statistical computing. This book surveys techniques of random number generation and the use of random numbers in Monte Carlo simulation. The book covers basic principles, as well as newer methods such as parallel random number generation, nonlinear congruential generators, quasi Monte Carlo methods, and Markov chain Monte Carlo. The best methods for generating random variates from the standard distributions are presented, but also general techniques useful in more complicated models and in novel settings are described. The emphasis throughout the book is on practical methods that work well in current computing environments. The book includes exercises and can be used as a test or supplementary text for various courses in modern statistics. It could serve as the primary test for a specialized course in statistical computing, or as a supplementary text for a course in computational statistics and other areas of modern statistics that rely on simulation. The book, which covers recent developments in the field, could also serve as a useful reference for practitioners. Although some familiarity with probability and statistics is assumed, the book is accessible to a broad audience. The second edition is approximately 50% longer than the first edition. It includes advances in methods for parallel random number generation, universal methods for generation of nonuniform variates, perfect sampling, and software for random number generation.
http://www.amazon.com/gp/product/0387001786/?tag=2022091-20
(Accurate and efficient computer algorithms for factoring ...)
Accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Regardless of the software system used, the book describes and gives examples of the use of modern computer software for numerical linear algebra. It begins with a discussion of the basics of numerical computations, and then describes the relevant properties of matrix inverses, factorisations, matrix and vector norms, and other topics in linear algebra. The book is essentially self- contained, with the topics addressed constituting the essential material for an introductory course in statistical computing. Numerous exercises allow the text to be used for a first course in statistical computing or as supplementary text for various courses that emphasise computations.
http://www.amazon.com/gp/product/0387985425/?tag=2022091-20
( Matrix algebra is one of the most important areas of ma...)
Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consider the various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes the special properties of those matrices. Finally, it covers numerical linear algebra, beginning with a discussion of the basics of numerical computations, and following up with accurate and efficient algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors.
http://www.amazon.com/gp/product/0387708723/?tag=2022091-20
(Accurate and efficient computer algorithms for factoring ...)
Accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Regardless of the software system used, the book describes and gives examples of the use of modern computer software for numerical linear algebra. It begins with a discussion of the basics of numerical computations, and then describes the relevant properties of matrix inverses, factorisations, matrix and vector norms, and other topics in linear algebra. The book is essentially self- contained, with the topics addressed constituting the essential material for an introductory course in statistical computing. Numerous exercises allow the text to be used for a first course in statistical computing or as supplementary text for various courses that emphasise computations.
http://www.amazon.com/gp/product/1461268427/?tag=2022091-20
educator consultant Computer software designer
Gentle, James Edward was born on May 31, 1943 in Statesville, North Carolina, United States. Son of Wint Farley and Vertie Mae (Pardue) Gentle.
Bachelor of Science, U. North Carolina, 1966. Master of Arts, Louisiana State University, 1969. Master of Commercial Science, Texas Agricultural and Mechanical University, 1973, Doctor of Philosophy, 1974.
Association professor Iowa State University, 1974-1979.
Director research and design IMSL, Incorporated., Houston, 1979-1992. University professor George Mason University, Fairfax, Virginia, 1992.
Program director statistics and probability program in mathematics and physical science National Science Foundation, 1996. Adjunct Professor Rice U.
Associate professor Iowa State University, 1974—1979. Director research and design IMSL, Inc., Houston, 1979—1992. Professor George Mason University, Fairfax, Virginia, since 1992.
Program director statistics and probability program in mathematics and physical science National Science Foundation, 1996—1998. Adjunct professor Rice University.
(Accurate and efficient computer algorithms for factoring ...)
(Accurate and efficient computer algorithms for factoring ...)
(Will provide a more elementary introduction to these topi...)
( Matrix algebra is one of the most important areas of ma...)
( Monte Carlo simulation has become one of the most impor...)
Fellow: American Association for the Advancement of Science, Royal Statistical Society, American Statistical Association (director). Member: International Statistical Institute, American Federation Information Processing Societies (board directors), International Association Statistical Computing, Association Computing Machinery.
Married Joyce Ellen Lodge, June 26, 1966 (deceased September 1988). Married Maria Engracia Quijano, June 26, 1992.