Applied Data Mining for Forecasting Using SAS

Chapter 10: Model Building: Further Modeling Topics

Introduction

10.1 Creating Time Series Data and Data Hierarchies Using Accumulation and Aggregation Methods

Introduction

Creating Time Series Data Using Accumulation Methods

Creating Data Hierarchies Using Aggregation Methods

10.2 Statistical Forecast Reconciliation

10.3 Intermittent Demand

10.4 High-Frequency Data and Mixed-Frequency Forecasting

High-Frequency Data

Mixed-Interval Forecasting

10.5 Holdout Samples and Forecast Model Selection in Time Series

Introduction

10.6 Planning Versus Forecasting and Manual Overrides

10.7 Scenario-Based Forecasting

10.8 New Product Forecasting

Introduction

This chapter presents additional modeling topics. The focus shifts to a collection of issues that ...