↓ Skip to main content
Altmetric
What is this page?
Embed badge
Share
Share on Twitter
Share on Facebook
Share by email
Statistical Physics : An Advanced Approach with Applications
Overview of attention for book
Table of Contents
Altmetric Badge
Book Overview
Altmetric Badge
Chapter 1
Statistical Physics Is More than Statistical Mechanics
Altmetric Badge
Chapter 2
Random Variables: Fundamentals of Probability Theory and Statistics
Altmetric Badge
Chapter 3
Random Variables in State Space: Classical Statistical Mechanics of Fluids
Altmetric Badge
Chapter 4
Random Fields: Textures and Classical Statistical Mechanics of Spin Systems
Altmetric Badge
Chapter 5
Time-Dependent Random Variables: Classical Stochastic Processes
Altmetric Badge
Chapter 6
Quantum Random Systems
Altmetric Badge
Chapter 7
Changes of External Conditions
Altmetric Badge
Chapter 8
Estimation of Parameters
Altmetric Badge
Chapter 9
Signal Analysis: Estimation of Spectra
Altmetric Badge
Chapter 10
Estimators Based on a Probability Distribution for the Parameters
Altmetric Badge
Chapter 11
Identification of Stochastic Models from Observations
Altmetric Badge
Chapter 12
Estimating the Parameters of a Hidden Stochastic Model
Altmetric Badge
Chapter 13
Statistical Tests and Classification Methods
Overall attention for this book and its chapters
Altmetric Badge
Mentioned by
syllabi
1
institution with syllabi
Citations
dimensions_citation
22
Dimensions
Readers on
mendeley
1
Mendeley
Book overview
1. Statistical Physics Is More than Statistical Mechanics
2. Random Variables: Fundamentals of Probability Theory and Statistics
3. Random Variables in State Space: Classical Statistical Mechanics of Fluids
4. Random Fields: Textures and Classical Statistical Mechanics of Spin Systems
5. Time-Dependent Random Variables: Classical Stochastic Processes
6. Quantum Random Systems
7. Changes of External Conditions
8. Estimation of Parameters
9. Signal Analysis: Estimation of Spectra
10. Estimators Based on a Probability Distribution for the Parameters
11. Identification of Stochastic Models from Observations
12. Estimating the Parameters of a Hidden Stochastic Model
13. Statistical Tests and Classification Methods
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
1
syllabus from an institution on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
University of Rhode Island
1
Unknown