Model Assisted Statistics and Applications

Published in Association with IOS Press
Current Volume: 21 | Current Issue: 2 | ISSN: 15741699 | ESSN: 18759068
Model Assisted Statistics and Applications
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Description

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 are preferred. Papers of both applied and theoretical topics are acceptable.

Description

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 are preferred. Papers of both applied and theoretical topics are acceptable.
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Model Assisted Statistics and Applications

Published in Association with IOS Press

Current Volume: 21 | Current Issue: 2 | ISSN: 15741699 | ESSN: 18759068 | Submission Guidelines | Get Email Alerts

Subscription Type Format Price
Individual rates Individual Subscription, E-access $155.00

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 are preferred. Papers of both applied and theoretical topics are acceptable.