Model Assisted Statistics and Applications

Aims & Scope

Model Assisted Statistics and Applications is a peer reviewed international journal.

Model Assisted Statistics means an improvement of inference and analysis by use of correlated information, or an underlying theoretical or design model.

This might be the design, adjustment, estimation, or analytical phase of statistical project.

This information may be survey generated or coming from an independent source.

Original papers in the field of sampling theory, econometrics, time-series, design of experiments, and multivariate analysis will be preferred.

Papers of both applied and theoretical topics are acceptable.

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.179

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	15

Journal Rank

Year	Value
2024	22577

Journal Citation Indicator

Year	Value
2024	45

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Ridge Regression and multicollinearity: An in-depth review

  Citation: 36

  Authors: Deanna N.

• Modified randomized devices for Simmons' model

  Citation: 36

  Authors: Pier Francesco

• On stratified randomized response sampling

  Citation: 29

  Authors: Jea-Bok, Jong-Min, Tae-Young, Chun Gun

• An improved estimator of the finite population mean in simple random sampling

  Citation: 27

  Authors: Lovleen Kumar, Paramdeep

• The accuracy of television network rating forecasts: The effects of data aggregation and alternative models

  Citation: 17

  Authors: Denny, Rob J.

• Randomized response surveys: A note on some privacy protection measures

  Citation: 16

  Authors: Giancarlo, Marco, Pier Francesco

• ARIMAX-GARCH-WAVELET model for forecasting volatile data

  Citation: 12

  Authors: Ranjit Kumar

• Meaningful regression analysis in adjusted coefficients Shapley value model

  Citation: 12

  Authors: Stan, W. Michael

• A note on transformations on auxiliary variable in survey sampling

  Citation: 12

  Authors: Rajesh, Mukesh

• Using magic in the teaching of probability and statistics

  Citation: 11

  Authors: Lawrence M., Mark E.

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