Maximum likelihood estimation and inference : with examples in R, SAS, and ADMB / / Russell B. Millar.
"Applied Likelihood Methods provides an accessible and practical introduction to likelihood modeling, supported by examples and software. The book features applications from a range of disciplines, including statistics, medicine, biology, and ecology. The methods are implemented in SAS--the mos...
Saved in:
Superior document: | Statistics in practice |
---|---|
: | |
TeilnehmendeR: | |
Year of Publication: | 2011 |
Language: | English |
Series: | Statistics in practice.
|
Online Access: | |
Physical Description: | xvi, 357 p. :; ill. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Maximum likelihood estimation for sample surveys / R.L. Chambers ... [et al.].
Published: (2012.) -
In all likelihood : : statistical modelling and inference using likelihood / / Yudi Pawitan.
by: Pawitan, Yudi.
Published: ([2001]) -
SAS essentials : : mastering SAS for data analytics / / Alan C. Elliott and Wayne A. Woodward.
by: Elliott, Alan C.,
Published: (2016.) -
Applied psychometrics using SAS / / W. Holmes Finch, Brian F. French, James C. Immekus.
by: Finch, W. Holmes,
Published: (2014.) -
SAS data analytic development : : dimensions of software quality / / Troy Martin Hughes.
by: Hughes, Troy Martin,
Published: ([2016])