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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Bibliographic Details
Main Author: Bonamente, Massimiliano (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Series:Graduate Texts in Physics,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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.