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101 results for keyword:statistical methods
101 results for keyword:statistical methods

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Is undesirable answer behaviour consistent?

This paper investigates whether answer behavior that points at increased risk of measurement error is consistent across surveys, i.e. whether it is a trait of respondents.

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Automatic travel mode prediction

App-assisted travel surveys use location and motion sensors to measure location and to predict means of transportation. This discussion paper describes the machine learning techniques to translate...

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Employment estimates using survey and register data

This report describes macro-integration methods applied to the reconciliation process of labor force statistics from two sources.

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The accuracy of growth rates with classification errors

Evaluating the accuracy of growth rates in the presence of classification errors.

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Complexity and simplification of networks

Quantification of the complexity of networks and methods to simplify networks by focusing on their essence.

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New data sources and inference methods for statistics

Methodological issues with non-probability data for official statistics.

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Analysing response differences in VAT

Analysing response differences between sample survey and VAT turnover

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Correcting for linkage errors in the multiple capture

Correcting for linkage errors in the multiple - recapture method for population size estimation.

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Piet Daas endowed professor of Big Data at TU/e

Creating big data statistics is very different from creating statistics based on surveys

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Protecting Tables by Means of Cell Suppression

National Statistical Institutes protect tabular data against disclosure of sensitive information before they are released. A well-known method is cell suppression. In this paper we propose a new...

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The SPAR index and some alternative house price indices

This paper discusses various ways to compute house price indices and compares them to the

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Bootstrapping the SPAR index

This paper discusses a bootstrap method to estimate the variance of price indices of houses.

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Models and statistical methods in rtrim

This report describes, in some detail, the statistical methods and models implemented in the r-package rtrim.

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Variances of Census Tables after Mass Imputation

We consider variance estimation for the Dutch virtual Census, when mass imputation is used for educational attainment.

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New methods and sources for Big Data research

The objective of the seminar was to bring together researchers from statistical offices and academic scientists in order to exchange knowledge and present the latest methods and techniques in the...

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Data scientists inspired by innovative CBS research

the ultimate challenge for data scientists is to develop methods that ‘translate’ huge amounts of data into high-quality statistics

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Quality management of methodology

Methodological departments of national statistical institutes should adopt formal quality certification for ISO 9001

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Transitivity of Price Indices

Connecting correction methods for linkage error in capture-recapture

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Connecting correction methods for linkage error in CRC

Connecting correction methods for linkage error in capture-recapture.

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New methods to correct data

Scholtus designed a number of new algorithms to automatically correct systematic errors

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Nowcasting using linear time series filters

Nowcasting using linear time series filters

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Use sensors to improve Dutch people’s health

How can we make smarter use of technology in Dutch health research.

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Environmental Input-Output Analyses for the Netherlands

Environmental Input-Output Analyses of greenhouse gases in the Netherlands

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Sampling restricted access networks

Collecting information about the structure of random access networks

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Bootstrapping structural time series models

A resample method to compute standard errors of estimates based on a structural time series model.

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