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Benchmarking, temporal distribution, and reconciliation methods for time series

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Cover of 'Benchmarking, temporal distribution, and reconciliation methods for time series'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 The Components of Time Series
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    Chapter 3 The Cholette-Dagum Regression-Based Benchmarking Method — The Additive Model
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    Chapter 4 Covariance Matrices for Benchmarking and Reconciliation Methods
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    Chapter 5 The Cholette-Dagum Regression-Based Benchmarking Method - The Multiplicative Model
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    Chapter 6 The Denton Method and its Variants
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    Chapter 7 Temporal Distribution, Interpolation and Extrapolation
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    Chapter 8 Signal Extraction and Benchmarking
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    Chapter 9 Calendarization
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    Chapter 10 A Unified Regression-Based Framework for Signal Extraction, Benchmarking and Interpolation
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    Chapter 11 Reconciliation and Balancing Systems of Time Series
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    Chapter 12 Reconciling One-Way Classified Systems of Time Series
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    Chapter 13 Reconciling the Marginal Totals of Two-Way Classified Systems of Series
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    Chapter 14 Reconciling Two-Way Classifed Systems of Series
Attention for Chapter 4: Covariance Matrices for Benchmarking and Reconciliation Methods
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