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  1. 1
    The connection between missing school and Indigenous community: challenges and complexities
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    Note
  2. 2
    Application of functional data analysis for the treatment of missing air quality data
    “…In most research including environmental research, missing recorded data often exists and has…”
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    Article
  3. 3
    Prediction of missing data in rainfall dataset by using simple statistical method
    “…Almost all of the data obtained from hydrological station contains missing data. Usually…”
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    Conference paper
  4. 4
    Identifying Missing Data Mechanisms Among Incomplete Air Pollution Datasets in Malaysia
    “…In several fields, including environmental research, missing data are a pervasive issue. It causes…”
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    Conference paper
  5. 5
    Estimation of missing values in air pollution dataset by using various imputation methods
    “… of missing values in air pollution dataset. Ten imputation methods such as Series Mean, Linear Interpolation…”
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    Article
  6. 6
    Time Series Data and Recent Imputation Techniques for Missing Data: A Review
    “… missing data points are often encountered. The inability to analyse and model the missing data greatly…”
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    Conference paper
  7. 7
    Estimation of missing streamflow data using various artificial intelligence methods in peninsular Malaysia
    “…Missing streamflow data is a common issue in Peninsular Malaysia, as the technologies used…”
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    Article
  8. 8
    EXPLORING MISSING LEARNING PHENOMENON IN PRESCHOOL SETTINGS DURING COVID-19 PANDEMIC: TEACHERS’ PERSPECTIVES
    “…Purpose –This study aims to explore the missing learning phenomenon due to school closures during…”
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    Article
  9. 9
    EXPLORING MISSING LEARNING PHENOMENON IN PRESCHOOL SETTINGS DURING COVID-19 PANDEMIC: TEACHERS' PERSPECTIVES
    “…Purpose -This study aims to explore the missing learning phenomenon due to school closures during…”
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    Article
  10. 10
    A comparative analysis of estimation missing rainfall data using spatial interpolation and probabilistic methods
    “… or absent and typically contain numerous missing data. In order to generate high-quality data…”
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    Conference paper
  11. 11
    A Case of Linear Scleroderma in a Young Child: A Diagnosis Easily Missed in Primary Care
    “… who presented to a primary care setting. Diagnosis of LS is easily missed due to the lack of prominent…”
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    Article
  12. 12
    Missing data exploration in air quality data set using r-package data visualisation tools
    “…Missing values often occur in many data sets of various research areas. This has been recognized…”
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    Article
  13. 13
    A Case of Linear Scleroderma in a Young Child: A Diagnosis Easily Missed in Primary Care
    “… setting. Diagnosis of LS is easily missed due to the lack of prominent symptoms, subtle visible skin…”
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    Article
  14. 14
    Missing data imputation of MAGDAS-9’s ground electromagnetism with supervised machine learning and conventional statistical analysis models
    “… respectively demonstrate the capability of SVR to perfectly impute missing data for all ground electromagnetism…”
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    Article
  15. 15
    The Effectiveness of a Probabilistic Principal Component Analysis Model and Expectation Maximisation Algorithm in Treating Missing Daily Rainfall Data
    “… dependent on the quality of the historical rainfall time series data. However, missing data in a time series…”
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    Article
  16. 16
    An Additional 30-s Observation of the Right-Sided Colon with Narrow Band Imaging Decreases Missed Polyps: A Pilot Study
    “…) in the WLI group. Conclusions The additional 30-s observation with recent NBI decreased missed polyps…”
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    Article
  17. 17
    A comparison of model-based imputation methods for handling missing predictor values in a linear regression model: A simulation study
    “…In regression analysis, missing covariate data has been a common problem. Many researchers use ad…”
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    Conference paper
  18. 18
    The Effectiveness of a Probabilistic Principal Component Analysis Model and Expectation Maximisation Algorithm in Treating Missing Daily Rainfall Data (vol 56, pg 119, 2019)
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    Correction; Early Access
  19. 19
    Correction to: The Effectiveness of a Probabilistic Principal Component Analysis Model and Expectation Maximisation Algorithm in Treating Missing Daily Rainfall Data (Asia-Pacific Journal of Atmospheric Sciences, (2020), 56, 1, (119-129), 10.1007/s13143-019-00135-8)
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    Erratum
  20. 20
    Improving medical adherence using smart medicine cabinet monitoring system
    “…Patients at home may forget to take their medicines on time, miss doses or even take overdoses…”
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    Article
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