Torrent details for "Maitra S. A Practical Guide to Static and Dynamic Econometric Mo…" 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:
14.0 MB
Info Hash:
45BEB5EA973C249D7A81381D2CC85BC00F492C40
Added By:
Added:
June 5, 2025, 7 p.m.
Stats:
|
(Last updated: June 8, 2025, 6:20 a.m.)
| File | Size |
|---|---|
| ['Maitra S. A Practical Guide to Static and Dynamic Econometric Modelling...2025.pdf'] | 0 bytes |
Name
DL
Uploader
Size
S/L
Added
-
14.0 MB
[38
/
44]
2025-06-05
| Uploaded by andryold1 | Size 14.0 MB | Health [ 38 /44 ] | Added 2025-06-05 |
-
23.6 MB
[17
/
12]
2023-07-01
| Uploaded by indexFroggy | Size 23.6 MB | Health [ 17 /12 ] | Added 2023-07-01 |
-
104.2 MB
[10
/
10]
2025-10-28
| Uploaded by zbyszek3k | Size 104.2 MB | Health [ 10 /10 ] | Added 2025-10-28 |
-
278.0 MB
[0
/
0]
2023-10-25
| Uploaded by eXpOrTeRICV | Size 278.0 MB | Health [ 0 /0 ] | Added 2023-10-25 |
-
313.7 KB
[11
/
33]
2023-10-29
| Uploaded by adhck841 | Size 313.7 KB | Health [ 11 /33 ] | Added 2023-10-29 |
-
2.0 MB
[10
/
1]
2023-06-23
| Uploaded by FreeCourseWeb | Size 2.0 MB | Health [ 10 /1 ] | Added 2023-06-23 |
NOTE
SOURCE: Maitra S. A Practical Guide to Static and Dynamic Econometric Modelling...2025
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format This book provides a comprehensive guide to econometric modeling, combining theory with practical implementation using Python. It covers key econometric concepts, from data collection and model specification to estimation, inference, and prediction. Readers will explore linear regression, data transformations, and hypothesis testing, along with advanced topics like the Capital Asset Pricing Model and dynamic modeling techniques. With Python code examples, this book bridges theory and practice, making it an essential resource for students, finance professionals, economists, and data scientists seeking to apply econometrics in real-world scenarios. The book uses Python v3.10.12 for its source code, which relies on libraries like Pandas, NumPy, SciPy, and Matplotlib. All source code provided for the relevant chapters. It is advisable to look through the given code repository to better understand the underlying logic and dependencies needed for anyone looking to fully understand and implement the code provided. - Provides a comprehensive exploration of econometric modelling using Python code - Combines theoretical rigour with practical implementation, detailed diagnostic testing and dynamic modelling - Serves as a valuable resource for finance professionals, economists, and data scientists
×