Statistics and Analysis of Scientific Data

The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis of...

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Bibliographic Details
Main Author: Bonamente, Massimiliano
Format: eBook
Language:English
Published: New York, NY Springer New York 2017, 2017
Edition:2nd ed. 2017
Series:Graduate Texts in Physics
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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
  • Median, Weighted Mean and Linear Average (NEW)
  • Distribution Function of Statistics and Hypothesis Testing
  • Maximum Likelihood Fit to a Two-Variable Dataset
  • Goodness of Fit and Parameter Uncertainty
  • Systematic Errors and Intrinsic Scatter (NEW)
  • Fitting Data with Bivariate Errors (NEW)
  • Comparison Between Models
  • Monte Carlo Methods
  • Markov Chains and Monte Carlo Markov Chains
  • Statistics for Business Sciences and Addition of Multi–Variate Analysis (NEW)