Statistics and analysis of scientific data

Statistics and analysis of scientific data / Massimiliano Bonamente.

This book is the third edition of a successful textbook for upper-undergraduate and early graduate students, which offers a solid foundation in probability theory and statistics and their application to physical sciences, engineering, biomedical sciences and related disciplines. It provides broad co...

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Bibliographic Details
Main Author: Bonamente, Massimiliano (Author)
Format: eBook
Language:English
Published: Singapore : Springer, 2022.
Edition:3rd ed.
Series:Graduate texts in physics.
Subjects:
Mathematical statistics.
Research > Statistical methods.
Mathematical statistics
Research > Statistical methods
Online Access:Click for online access
Table of Contents:
  • Theory of Probability
  • Random Variables and Their Distributions
  • Three Fundamental Distributions: Binomial, Gaussian and Poisson
  • The Distribution of Functions of Random Variables
  • Error Propagation and Simulation of Random Variables
  • Maximum Likelihood and Other Methods to Estimate Variables
  • Mean, Median and Average Values of Variables
  • Hypothesis Testing and Statistics
  • Maximumlikelihood Methods for Gaussian Data
  • Multivariable Regression and Generalized Linear Models
  • Goodness of Fit and Parameter Uncertainty for Gaussian Data
  • LowCount Statistics
  • Maximumlikelihood Methods for lowcount Statistics
  • The linear Correlation Coefficient
  • Systematic Errors and Intrinsic Scatter.-Regression with Bivariate Errors
  • Model Comparison
  • Monte Carlo Methods
  • Introduction to Markov Chains
  • Monte Carlo Markov Chains.

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