Details for this torrent 

Introduction to Mathematical Statistics 8th 2019 + 7th 2013 Hogg
Type:
Other > E-books
Files:
3
Size:
12.92 MiB (13550494 Bytes)
Texted language(s):
English
Uploaded:
2018-12-01 01:48:42 GMT
By:
dumperina
Seeders:
1
Leechers:
0
Comments
0  

Info Hash:
F597FAE32DFA4C3661DAB00AC4F697046BFB3212




(Problems with magnets links are fixed by upgrading your torrent client!)
this torrent is comprised of 3 files:
1) Hogg - Introduction to Mathematical Statistics 8th ed 2019.pdf
2) Hogg - Introduction to Mathematical Statistics 7th ed 2013 text.pdf
3) Hogg - Introduction to Mathematical Statistics 7th ed 2013 solutions.pdf

COVER:  http://i.imgur.com/bCbjfVs.jpg
TITLE: Introduction to Mathematical Statistics, 8th edition (2019)
AUTHOR: Robert V. Hogg, Joseph W. McKean, Allen T. Craig
ISBN-13: 9780134686998
BOOK SPECS: http://catalogue.pearsoned.ca/educator/product/9780134686998.page
FILE SPECS: true PDF, logical page numbers as in the print version, bookmarks,
            6 + 7 + 1 MB

« Mathematical statistics is the application of probability theory, a branch of mathematics, to statistics, as opposed to techniques for collecting statistical data. »

DESCRIPTION: Comprehensive coverage of mathematical statistics - with a proven approach. "Introduction to Mathematical Statistics" by Hogg, McKean, and Craig enhances student comprehension and retention with numerous, illustrative examples and exercises. Classical statistical inference procedures in estimation and testing are explored extensively, and the text’s flexible organization makes it ideal for a range of mathematical statistics courses.

Substantial changes to the 8th Edition - many based on user feedback - help students appreciate the connection between statistical theory and statistical practice, while other changes enhance the development and discussion of the statistical theory presented.

BRIEF CONTENTS:
---------------
1. Probability and Distributions
2. Multivariate Distributions
3. Some Special Distributions
4. Some Elementary Statistical Inferences
5. Consistency and Limiting Distributions
6. Maximum Likelihood Methods
7. Sufficiency
8. Optimal Tests of Hypotheses
9. Inferences About Normal Linear Models
10. Nonparametric and Robust Statistics
11. Bayesian Statistics
appendixes
answers
index

File list not available.