Logo

A First Course In Mathematical Statistics

Large book cover: A First Course In Mathematical Statistics

A First Course In Mathematical Statistics
by

Publisher: Cambridge University Press
ISBN/ASIN: 0521091586
Number of pages: 302

Description:
This book provides the mathematical foundations of statistics. Its aim is to explain the principles, to prove the formulae to give validity to the methods employed in the interpretation of statistical data. Many examples are included but, since the primary emphasis is on the underlying theory, it is of interest to students of a wide variety of subjects.

Home page url

Download or read it online for free here:
Download link
(multiple formats)

Similar books

Book cover: Engineering Statistics HandbookEngineering Statistics Handbook
- NIST/SEMATECH
The goal of this handbook is to help scientists and engineers incorporate statistical methods in their work as efficiently as possible. Many parts of the book feature case studies or examples with computations from the free downloadable software.
(9602 views)
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.
(9714 views)
Book cover: Quick Notes - StatisticsQuick Notes - Statistics
by - 21st Century Learning Products
Walter Antoniotti's book is for people with a limited mathematics background who want to learn the material covered in a traditional college statistics course and for people who want to learn statistics to enhance their career.
(1320 views)
Book cover: Collaborative StatisticsCollaborative Statistics
by - Illowsky Publising
Intended for introductory statistics courses for students at two and four-year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications rather than the theory.
(13248 views)