Search Torrents
|
Browse Torrents
|
48 Hour Uploads
|
TV shows
|
Music
|
Top 100
Audio
Video
Applications
Games
Porn
Other
All
Music
Audio books
Sound clips
FLAC
Other
Movies
Movies DVDR
Music videos
Movie clips
TV shows
Handheld
HD - Movies
HD - TV shows
3D
Other
Windows
Mac
UNIX
Handheld
IOS (iPad/iPhone)
Android
Other OS
PC
Mac
PSx
XBOX360
Wii
Handheld
IOS (iPad/iPhone)
Android
Other
Movies
Movies DVDR
Pictures
Games
HD - Movies
Movie clips
Other
E-books
Comics
Pictures
Covers
Physibles
Other
Details for:
Wilcox R. A Guide to Robust Statistical Methods 2023
wilcox r guide robust statistical methods 2023
Type:
E-books
Files:
1
Size:
7.3 MB
Uploaded On:
Jan. 23, 2024, 5:45 p.m.
Added By:
andryold1
Seeders:
0
Leechers:
0
Info Hash:
6A3FCEB13E51F649DF56F9C99ED6D1946B841EB6
Get This Torrent
Textbook in PDF format Robust statistical methods are now being used in a wide range of disciplines. The appeal of these methods is that they are designed to perform about as well as classic techniques when standard assumptions are true―but they continue to perform well in situations where classic methods perform poorly. This book provides a relatively non-technical guide to modern methods. The focus is on applying modern methods using R, understanding when and why classic methods can be unsatisfactory, and fostering a conceptual understanding of the relative merits of different techniques. A recurring theme is that no single method reveals everything one would like to know about the population under study. An appeal of robust methods is that under general conditions they provide much higher power than conventional techniques. Perhaps more importantly, they help provide a deeper and more nuanced understanding of data. The book is for readers who had at least one semester of statistics, aimed at non-statisticians
Get This Torrent
Wilcox R. A Guide to Robust Statistical Methods 2023.pdf
7.3 MB
Similar Posts:
Category
Name
Uploaded
E-books
Wilcox R. Introduction to Robust Estimation and Hypothesis Testing 5ed 2021
Jan. 28, 2023, 2:32 p.m.