Statistical Methods in Research and Production

R. Greensmith

doi:10.1057/jors.1973.130

December 1, 1973Journal of the Operational Research Society

Statistical Methods in Research and Production

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Key Points

Review the core mathematical principles and practical applications of statistical techniques utilized in industrial research and manufacturing environments.
Literature review and methodological exposition synthesizing standard statistical frameworks.
Evaluation of analytical tools including probability distributions, hypothesis testing, analysis of variance, and regression modeling within manufacturing workflows.
Systematic application of statistical procedures improves experimental efficiency and measurement precision across operational processes.
Integration of formal statistical quality control enables early identification of manufacturing defects and reduces production variability.

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Implication

Methodological review outlines statistical techniques across industrial research and production processes, highlighting practical applications in quality control and process optimization.

Abstract

"Statistical Methods in Research and Production." Journal of the Operational Research Society, 24(4), pp. 652–653

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R. Greensmith (1973) studied this question.

synapsesocial.com/papers/6a9468f64ec1eb7af13edf0f https://doi.org/10.1057/jors.1973.130

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Statistical Methods in Research and Production

Key Points

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Implication

Abstract

Discussion

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Statistical Methods in Research and Production

Key Points

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Implication

Abstract

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