Statistics and Analysis of Scientific Data

Statistics and Analysis of Scientific Data covers the foundations of probability theory and statistics, and a number of numerical and analytical methods that are essential for the present-day analyst of scientific data. Topics covered include probability theory, distribution functions of statistics,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bonamente, Massimiliano (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Graduate Texts in Physics,
Temas:
System theory.
Probabilities.
Statistics .
Mathematical physics.
Complex Systems.
Probability Theory.
Statistical Theory and Methods.
Theoretical, Mathematical and Computational Physics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Theory of Probability
  • Random Variables and Their Distribution
  • Sum and Functions of Random Variables
  • Estimate of Mean and Variance and Confidence Intervals
  • Distribution Function of Statistics and Hypothesis Testing
  • Maximum Likelihood Fit to a Two-Variable Dataset
  • Goodness of Fit and Parameter Uncertainty
  • Comparison Between Models
  • Monte Carlo Methods
  • Markov Chains and Monte Carlo Markov Chains
  • A: Numerical Tables
  • B: Solutions.

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