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Elements of Computational Statistics

Elements of Computational Statistics

James E. Gentle

145,51 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2010
Materia
Probabilidad y estadística
ISBN:
9781441930248
145,51 €
IVA incluido
Disponible

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Sobre IBD

Will provide a more elementary introduction to these topics than other books available; Gentle is the author of two other Springer books

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Otros libros del autor

  • Numerical Linear Algebra for Applications in Statistics
    James E. Gentle
    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 co...
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  • Random Number Generation and Monte Carlo Methods
    James E. Gentle
    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 samp...
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  • Computational Statistics
    James E. Gentle
    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 describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide ran...
  • Random Number Generation and Monte Carlo Methods
    James E. Gentle
    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 samp...
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    James E. Gentle
    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 co...