Statistics and Analysis of Scientific Data

• Main Author: Bonamente, Massimiliano. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: Graduate Texts in Physics,
• Subjects: Physics.; Distribution (Probability theory).; Mathematical statistics.; Statistical Physics, Dynamical Systems and Complexity.; Probability Theory and Stochastic Processes.; Statistical Theory and Methods.; Numerical and Computational Physics.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-7984-0

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,...

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.