Data Analysis Statistical and Computational Methods for Scientists and Engineers /

The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matte...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Brandt, Siegmund (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:4th ed. 2014.
Temas:
Mathematical physics.
Engineering mathematics.
Engineering-Data processing.
Statistics .
Chemometrics.
Mathematical Methods in Physics.
Mathematical and Computational Engineering Applications.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Mathematical Applications in Chemistry.
Theoretical, Mathematical and Computational Physics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Probabilities
  • Random Variables: Distributions
  • Computer-Generated Random Numbers: The Monte Carlo Method
  • Some Important Distributions and Theorems
  • Samples
  • The Method of Maximum Likelihood
  • Testing Statistical Hypotheses
  • The Method of Least Squares
  • Function Minimization
  • Analysis of Variance
  • Linear and Polynomial Regression
  • Time-Series Analysis
  • A) Matrix Calculations
  • B) Combinatorics
  • C) Formulas and Methods for the Computation of Statistical Functions
  • D) The Gamma Function and Related Functions: Methods and Programs for their Computation
  • E) Utility Programs
  • F) The Graphics Class DatanGraphics
  • G) Problems, Hints and Solutions and Programming Problems
  • H) Collection of Formulas
  • I) Statistical Formulas
  • List of Computer Programs.

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