First Course in Statistics
by D Caradog Jones
Publisher: G Bell 1921
ISBN/ASIN: 0713506059
ISBN-13: 9780713506051
Number of pages: 288
Description:
The book is divided into two parts. Practically all the first part should be well within the understanding of the ordinary person. Part 2 is more mathematical, but an effort has been made throughout to explain results in such a way that the reader shall gain a general idea of the theory and be able to apply it without needing to master all the actual proofs. The whole is meant, not as an exhaustive treatise, but merely as a first course introducing the reader to more serious works, and, since real inspiration is to be found nowhere so surely as at the source, it is intended to encourage and fit him to pursue the subject further by consulting at least the most important original papers referred to in the text, only enough references being given to awaken curiosity.
Download or read it online for free here:
Download link
(multiple formats)
Similar books
by Ivan Lowe - scientificlanguage.com
The book begins by expanding on some of the basic concepts such data types and variables. The basic choice then is between the family of statistics which compares groups, and the family which studies associations or correlations.
(6468 views)
by Denis Anthony - BookBoon
This is a practical book. It is aimed at people who need to understand statistics, but not develop it as a subject. The typical reader might be a postgraduate student in health, life, or social science who has no knowledge of statistics.
(12859 views)
by Henk van Elst - arXiv
These lecture notes were written to provide an accessible though technically solid introduction to the logic of systematical analyses of statistical data to undergraduate and postgraduate students in the Social Sciences and Economics in particular.
(11864 views)
by Joseph B. Kadane - Chapman and Hall/CRC
An accessible, comprehensive guide to the theory of Bayesian statistics, this book presents the subjective Bayesian approach, which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods.
(11371 views)