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128 results for keyword:statistical methods
128 results for keyword:statistical methods

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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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Pushing the boundaries for automated data reconciliation in official statistics

Dissertation on methods to resolve inconsistencies in statistical output at aggregate level.

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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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Mortality forecasting in the context of non-linear past mortality trends: An evaluation

Dissertation on an evaluation of mortality forecasting in the context of non-linear past mortality trends.

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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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Editing and estimation of measurement errors

Dissertation on new methods for automatic editing of measurement errors and on the application of measurement error models.

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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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Impact of linkage errors and erroneous captures

Capture-recapture methods and violation of the assumptions of perfect linkage and no erroneous captures

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ISI 2017: Focus on statistical innovations

the latest developments in the content and the methodology of statistics.

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Measuring discontinuities due to survey process redesigns

This paper presents statistical methods to measure the impact due to a survey process redesign to avoid interruption of time series.

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Multi-source Statistics: Basic Situations and Methods

Multi-source Statistics: basic situations of combining sources and estimation methods

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