Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
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"Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series" by Estela Bee Dagum, Pierre A. Cholette is a mathematics book and learning resource focused on Core Mathematics. Best for teachers, students, and readers looking for stronger mathematical understanding.
Modern economies rely on time series. But before publication time series are subject to statistical adjustments and this is the first book to systematically deal with these time series data transformations. Regression-based models are emphasized because of their clarity and superior results.
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"Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series" by Estela Bee Dagum, Pierre A. Cholette is a mathematics book and learning resource focused on Core Mathematics. Best for teachers, students, and readers looking for stronger mathematical understanding.
Topic: Core Mathematics
Author: Estela Bee Dagum, Pierre A. Cholette
Who this is for:
- Teachers and classroom instructors
- Students building subject mastery
- Readers looking for practical learning support
Why this book matters: It stands out as a practical math resource that helps explain concepts, strengthen problem-solving, and support classroom or independent learning.
Modern economies rely on time series. But before publication time series are subject to statistical adjustments and this is the first book to systematically deal with these time series data transformations. Regression-based models are emphasized because of their clarity and superior results.
| Author | Estela Bee Dagum, Pierre A. Cholette |
| Publisher | Springer |
| Published | 2006-06-20 |
| ISBN-13 | 9780387311029 |
| Binding | Paperback |
| Pages | 410 |
| Language | English |
| Subjects | Business & Economics |
| Topic | Core Mathematics |
| Series | Lecture Notes in Statistics |
Format: Paperback
Length: 410 pages
Language: English
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