Torrent details for "Islam M. Generalized Linear Models and Extensions 2025" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
3.1 MB
Info Hash:
AD4B9581E39CC7DFBCEEA3A04C01C7FF102D2795
Added By:
Added:
May 15, 2025, 3:48 p.m.
Stats:
|
(Last updated: May 18, 2025, 2:51 p.m.)
| File | Size |
|---|---|
| Islam M. Generalized Linear Models and Extensions 2025.pdf | 3.1 MB |
Name
DL
Uploader
Size
S/L
Added
-
25.0 MB
[38
/
4]
2023-07-01
| Uploaded by indexFroggy | Size 25.0 MB | Health [ 38 /4 ] | Added 2023-07-01 |
-
106.6 MB
[7
/
0]
2025-01-22
| Uploaded by indexFroggy | Size 106.6 MB | Health [ 7 /0 ] | Added 2025-01-22 |
-
55.0 MB
[47
/
12]
2025-09-08
| Uploaded by andryold1 | Size 55.0 MB | Health [ 47 /12 ] | Added 2025-09-08 |
NOTE
SOURCE: Islam M. Generalized Linear Models and Extensions 2025
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format This book presents a wide range of topics to address the needs of several groups of users of rapidly growing methods of generalized linear models. Since the introduction of the idea of generalized linear models (GLM) in early seventies, during the past four decades the modelling of statistical data have experienced a major transformation from linear models based on normality assumption to a more flexible unified approach of generalized linear models. The number of readers and users of generalized linear models have increased manifold. In addition, the use of generalized linear models has expanded in many new fields of applications where statistical models are being employed at an increasing rate. It is important to note here that the learners and users of GLM have a widely varied background in different disciplines. Considering these pressing needs, this book focuses on: (i) upper undergraduate and graduate level students in need of a thorough understanding about the basic concepts of generalized linear models along with appropriate applications; (ii) researchers and users in need of advanced generalized linear models for analysing bivariate or multivariate data stemming from longitudinal or repeated measures data; and (iii) new challenges to analyse big data where the traditional techniques fail to provide any reasonable modelling strategy. In other words, this book starts with a thorough background of the generalized linear models for the new learners, then provides multivariate extensions to advanced level techniques for researchers and users in various disciplines, and finally some innovative modelling strategies are introduced using generalized linear models in the emerging field of big data analytics. It provides materials for new learners, for users/researchers who are in need of more advanced techniques and also strategies for employing linear models in big data analytics
×