Logo

Everything you wanted to know about Data Analysis and Fitting

Small book cover: Everything you wanted to know about Data Analysis and Fitting

Everything you wanted to know about Data Analysis and Fitting
by

Publisher: arXiv
Number of pages: 55

Description:
These notes discuss, in a style intended for physicists, how to average data and fit it to some functional form. I try to make clear what is being calculated, what assumptions are being made, and to give a derivation of results rather than just quote them. The aim is put a lot useful pedagogical material together in a convenient place.

Home page url

Download or read it online for free here:
Download link
(450KB, PDF)

Similar books

Book cover: Statistics for Business and EconomicsStatistics for Business and Economics
by - BookBoon
In today's economic environment it is practically impossible to avoid dealing with data gathering and analysis. This free textbook provides a comprehensive overview of the main topics in the area of statistic analysis for business and economics.
(23039 views)
Book cover: Dynamic Programming and Bayesian Inference: Concepts and ApplicationsDynamic Programming and Bayesian Inference: Concepts and Applications
by - InTech
Dynamic programming and Bayesian inference have been both intensively and extensively developed during recent years. The purpose of this volume is to provide some applications of Bayesian optimization and dynamic programming.
(8241 views)
Book cover: Statistical Inference for EveryoneStatistical Inference for Everyone
by - Save The Broccoli Publishing
This is a new approach to an introductory statistical inference textbook, motivated by probability theory as logic. It is targeted to the typical Statistics 101 college student, and covers the topics typically covered in the first semester.
(7633 views)
Book cover: Foundations in Statistical ReasoningFoundations in Statistical Reasoning
by
Contents: Statistical Reasoning; Obtaining Useful Evidence; Examining the Evidence Using Graphs and Statistics; Inferential Theory; Testing Hypotheses; Confidence Intervals and Sample Size; Analysis of Bivariate Quantitative Data; Chi Square; etc.
(7285 views)