- Handbook on Methodology of Modern Business Statistics
- Preface
- Introduction
- General Observations
- User Needs
- Overall Design
- Repeated Surveys
- Questionnaire Design
- Statistical Registers and Frames
- Statistical Registers and Frames - Main Module (Theme)
- The Populations, Frames, and Units of Business Surveys (Theme)
- Building and Maintaining Statistical Registers to Support Business Surveys (Theme)
- Survey Frames for Business Surveys (Theme)
- The Design of Statistical Registers and Survey Frames (Theme)
- The Statistical Units and the Business Register (Theme)
- Quality of Statistical Registers and Frames (Theme)
- Derivation of Statistical Units
- Dynamics of the Business Population
- Sample Selection
- Sample Selection - Main Module (Theme)
- Balanced Sampling for Multi-Way Stratification (Method)
- Subsampling for Preliminary Estimates (Method)
- Sample Co-ordination (Theme)
- Sample Co-ordination Using Simple Random Sampling with Permanent Random Numbers (Method)
- Sample Co-ordination Using Poisson Sampling with Permanent Random Numbers (Method)
- Assigning Random Numbers when Co-ordination of Surveys Based on Different Unit Types is Considered (Method)
- Data Collection
- Data Collection - Main Module (Theme)
- Design of Data Collection Part 1: Choosing the Appropriate Data Collection Method (Theme)
- Design of Data Collection Part 2: Contact Strategies (Theme)
- Mixed Mode Data Collection (Theme)
- Techniques and Tools (Theme)
- CATI Allocation (Theme)
- Collection and Use of Secondary Data (Theme)
- Response
- Micro-Fusion
- Micro-Fusion - Data Fusion at Micro Level (Theme)
- Object Matching (Record Linkage) (Theme)
- Object Identifier Matching (Method)
- Unweighted Matching of Object Characteristics (Method)
- Weighted Matching of Object Characteristics (Method)
- Probabilistic Record Linkage (Theme)
- Fellegi-Sunter and Jaro Approach to Record Linkage (Method)
- Statistical Matching (Theme)
- Statistical Matching Methods (Method)
- Reconciling Conflicting Microdata (Method)
- Prorating (Method)
- Minimum Adjustment Methods (Method)
- Generalised Ratio Adjustments (Method)
- Coding
- Coding - Main Module (Theme)
- How to Build the Informative Base (Theme)
- Manual Coding (Method)
- Automatic Coding Based on Pre-coded Datasets (Method)
- Automatic Coding Based on Semantic Networks (Method)
- Computer-Assisted Coding (Method)
- Different Coding Strategies (Theme)
- Measuring Coding Quality (Theme)
- Statistical Data Editing
- Imputation
- Weighting and Estimation
- Weighting and Estimation - Main Module (Theme)
- Design of Estimation - Some Practical Issues (Theme)
- Calibration (Method)
- Generalised Regression Estimator (Method)
- Outlier Treatment (Method)
- Preliminary Estimates with Design-Based Methods (Method)
- Preliminary Estimates with Model-Based Methods (Method)
- Small Area Estimation (Theme)
- Synthetic Estimators for Small Area Estimation (Method)
- Composite Estimators for Small Area Estimation (Method)
- EBLUP Area Level for Small Area Estimation (Fay-Herriot) (Method)
- EBLUP Unit Level for Small Area Estimation (Method)
- Small Area Estimation Methods for Time Series Data (Method)
- Estimation with Administrative Data (Theme)
- Quality Aspects
- Macro-Integration
- Seasonal Adjustment
- Statistical Disclosure Control
- Dissemination
- Evaluation
- Glossary
- The treatment of large enterprise groups within Statistics Netherlands
CROS
Collaboration in Research and Methodology for Official Statistics