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: Revealing Statistical PrinciplesRevealing Statistical Principles
by - Hodder Education Publishers
Written by a renowned statistician, this book presents the basic ideas behind the statistical methods commonly used in studies of human subjects. It is an ideal guide for advanced undergraduates who are beginning to do their own research.
(9179 views)
Book cover: First Course in StatisticsFirst Course in Statistics
by - G Bell
First part of the book is within the understanding of the ordinary person. Part 2 is more mathematical, but the results are explained in such a way that the reader shall gain a general idea of the theory and applications without mastering the proofs.
(18502 views)
Book cover: Mathematical StatisticsMathematical Statistics
by - Open Court Pub. Co
The book shifts the emphasis in the study of statistics in the direction of the consideration of the underlying theory involved in certain important methods of statistical analysis, and introduces mathematical statistics to a wider range of readers.
(8797 views)
Book cover: Lectures on StatisticsLectures on Statistics
by - University of Illinois
These notes are based on a course that the author gave at UIUC. No prior knowledge of statistics is assumed. A standard first course in probability is a prerequisite, but the first 8 lectures review results that are important in statistics.
(18757 views)