Statistics Beyond the Absolute Basics
by Ivan Lowe
Publisher: scientificlanguage.com 2018
Number of pages: 182
After a review of free statistics programs, and web sources for further study, the book begins by expanding on some of the basic concepts such data types and variables. Great emphasis is put on various easy ways of describing data. This must precede anything more sophisticated. The basic choice then is between the family of statistics which compares groups, and the family which studies associations or correlations. Only then, once these three major areas of statistics are mastered, students are ready for more detail in the choice of statistical test. At this point the old statistics, with its emphasis on significance testing and the null hypothesis is presented, then thoroughly critiqued.
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by Mohammad Saber Fallah Nezhad (ed.) - 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.
by Wolfgang K. Hardle, Leopold Simar - Springer
The authors present multivariate data analysis in a way that is understandable to non-mathematicians and practitioners confronted by statistical data analysis. The book has a friendly yet rigorous style. Mathematical results are clearly stated.
by C.E. Weatherburn - Cambridge University Press
This book provides the mathematical foundations of statistics. It explains the principles, and proves the formulae to give validity to the methods of the interpretation of statistical data. It is of interest to students of a wide variety of subjects.
by Brian S Blais - 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.