Introduction to Mathematical Statistics, Fifth Edition

Introduction to Mathematical Statistics, Fifth Edition
Author :
Publisher :
Total Pages : 88
Release :
ISBN-10 : 0132089351
ISBN-13 : 9780132089357
Rating : 4/5 (357 Downloads)

Book Synopsis Introduction to Mathematical Statistics, Fifth Edition by : Robert V. Hogg

Download or read book Introduction to Mathematical Statistics, Fifth Edition written by Robert V. Hogg and published by . This book was released on 1995 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Introduction to Mathematical Statistics, Fifth Edition Related Books

Introduction to Mathematical Statistics, Fifth Edition
Language: en
Pages: 88
Authors: Robert V. Hogg
Categories: Mathematical statistics
Type: BOOK - Published: 1995 - Publisher:

DOWNLOAD EBOOK

An Introduction to Mathematical Statistics
Language: en
Pages: 0
Authors: Fetsje Bijma
Categories: Mathematical statistics
Type: BOOK - Published: 2017 - Publisher:

DOWNLOAD EBOOK

This book gives an introduction into mathematical statistics.
Mathematical Statistics
Language: en
Pages: 611
Authors: Richard J. Rossi
Categories: Mathematics
Type: BOOK - Published: 2018-06-14 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Presents a unified approach to parametric estimation, confidence intervals, hypothesis testing, and statistical modeling, which are uniquely based on the likeli
Probability and Mathematical Statistics
Language: en
Pages: 255
Authors: Eugene Lukacs
Categories: Mathematics
Type: BOOK - Published: 2014-05-10 - Publisher: Academic Press

DOWNLOAD EBOOK

Probability and Mathematical Statistics: An Introduction provides a well-balanced first introduction to probability theory and mathematical statistics. This boo
Mathematical Statistics
Language: en
Pages: 467
Authors: George R. Terrell
Categories: Mathematics
Type: BOOK - Published: 2006-04-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This textbook introduces the mathematical concepts and methods that underlie statistics. The course is unified, in the sense that no prior knowledge of probabil