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September 10, 2025Quality Innovation ProsperityOpen Access

Confidence Intervals for the Mean in Selecting an Appropriate Time-Dependent Distribution Model for Processes with Non-Normal Instantaneous Distributions

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Authors

MTMilan Terek

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Implication

This approach shows how confidence intervals guide the selection of time-dependent models for processes with non-normal distributions, highlighting their application in various sectors.

Key Points

Utilizing confidence intervals for the mean improves model selection for processes with non-normal distributions.
The approach analyzes distributions using sampling to determine characteristics critical for modeling.
The methods apply specifically to continuous quality characteristics across diverse industrial contexts.
Improving decision-making for selecting time-dependent models by leveraging confidence intervals enhances outcomes.

Cite This Study

Milan Terek (2025) studied this question.

synapsesocial.com/papers/68c1a27254b1d3bfb60ddc42 https://doi.org/10.12776/qip.v29i2.2183

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Implication

This approach shows how confidence intervals guide the selection of time-dependent models for processes with non-normal distributions, highlighting their application in various sectors.

Confidence Intervals for the Mean in Selecting an Appropriate Time-Dependent Distribution Model for Processes with Non-Normal Instantaneous Distributions

Discussion

Member takes

Implication

Key Points

Cite This Study

Confidence Intervals for the Mean in Selecting an Appropriate Time-Dependent Distribution Model for Processes with Non-Normal Instantaneous Distributions

Discussion

Member takes

Implication

Key Points

Cite This Study

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