The Best Stratification to Impute Missing Values of Turnover in Economic Surveys Takayuki Ito1,2, Yutaka Abe1, and Tatsuo Noro1 1 National Statistics Center, Tokyo, JAPAN 2

Source URL: www.statistics.gov.hk

• Sampling
• Imputation
• Stratified sampling
• Eva Site
• Statistics
• Data analysis
• Missing data

Balanced k-nearest neighbor imputation Caren Hasler* Institut de Statistique, Université de Neuchâtel, Switzerland, Yves Tillé Institut de Statistique, Université de Neuchâtel, Switzerland, yve

Source URL: www.statistics.gov.hk

Journal of Machine Learning Research1928 Submitted 5/10; Revised 1/14; Published 6/14 Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems

Source URL: jmlr.org

• Missing data
• Regression analysis
• Data analysis
• Expectation–maximization algorithm
• Normal distribution
• Multivariate normal distribution
• Maximum likelihood
• Linear regression
• Imputation
• Statistics
• Estimation theory
• Econometrics

Product Disclosure Statement (PDS) Nikko AM Imputation Fund Issued 12 SeptemberUpdated information

Source URL: www.nikkoam.com.au

• Financial services
• Funds
• Financial markets
• Collective investment scheme
• Specialized investment fund
• Financial adviser
• Net asset value
• Investment management
• Mutual fund fees and expenses
• Financial economics
• Investment
• Finance

BOUNDED CONDITIONAL MEAN IMPUTATION WITH GAUSSIAN MIXTURE MODELS: A RECONSTRUCTION APPROACH TO PARTLY OCCLUDED FEATURES Friedrich Faubel, John McDonough, Dietrich Klakow Spoken Language Systems, Saarland University, D-66

Source URL: wiki.inf.ed.ac.uk

• Normal distribution
• Multivariate normal distribution
• Variance
• Mean squared error
• Covariance matrix
• Statistics
• Data analysis
• Estimation theory

Microsoft Word - Tax Statement Guide 2013

Source URL: www.ddhgraham.com.au

• Income tax in Australia
• Income tax in the United States
• Political economy
• Business
• Dividend imputation
• Income tax
• Tax File Number
• Dividend
• Capital gains tax in Australia
• Taxation in Australia
• Public economics
• Capital gains tax

Multiple Imputation of Missing Values in Economic Surveys: Comparison of Competing Algorithms Masayoshi Takahashi* National Statistics Center, Tokyo, Japan Takayuki Ito National Statistics Center,

Source URL: www.statistics.gov.hk

• Markov models
• Computational statistics
• Imputation
• Monte Carlo methods
• Markov chain Monte Carlo
• Expectation–maximization algorithm
• Markov chain
• Bootstrapping
• SPSS
• Statistics
• Data analysis
• Missing data

A Bayesian method for deriving population statistics from multiple imperfect data sources John Bryant and Patrick Graham∗ Statistics New Zealand, Christchurch, NZ Corresponding author: John Bryant, email: john.bryant@s

Source URL: www.statistics.gov.hk

• Survey methodology
• Hypothesis testing
• Statistical inference
• Imputation
• Census
• Data set
• Official statistics
• Missing data
• Statistical hypothesis testing
• Statistics
• Data analysis
• Demography

Robust Imputation of Missing Values in Compositional Data Using the -Package robCompositions Matthias Templ∗,∗∗ , Peter Filzmoser∗ , Karel Hron∗∗∗ ∗

Source URL: cran.r-project.org

• Missing data
• Robust regression
• Bootstrapping
• Resampling
• Regression analysis
• Compositional data
• Outlier
• Principal component analysis
• Linear regression
• Statistics
• Data analysis
• Imputation

Posters IMPUTATION OF MISSING GENOTYPES IN HIGH DENSITY SNP DATA G. Moser1, M.S Khatkar2 and H.W. Raadsma2 The CRC for Innovative Dairy Products 1 Bellbowrie, QLD, 4070, Australia

Source URL: www.aaabg.org

• Population genetics
• Genetic genealogy
• Data analysis
• Classical genetics
• Molecular biology
• Haplotype
• Principal component analysis
• Imputation
• Single-nucleotide polymorphism
• Genetics
• Biology
• Statistics