Logo

Statistical Inference for Everyone

Large book cover: Statistical Inference for Everyone

Statistical Inference for Everyone
by

Publisher: Save The Broccoli Publishing
ISBN/ASIN: 1499715072
ISBN-13: 9781499715071
Number of pages: 200

Description:
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 of such a course.

Home page url

Download or read it online for free here:
Download link
(4MB, 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.
(25804 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.
(10238 views)
Book cover: A Handbook of StatisticsA Handbook of Statistics
by - Bookboon
A Handbook for Statistics provides readers with an overview of common statistical methods used in a wide variety of disciplines. The book focuses on giving the intuition behind the methods as well as how to execute methods using Microsoft Excel.
(11643 views)
Book cover: Computer Age Statistical Inference: Algorithms, Evidence, and Data ScienceComputer Age Statistical Inference: Algorithms, Evidence, and Data Science
by - Stanford University
Beginning with classical inferential theories, the book takes up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, etc.
(6989 views)