Vol. 36 No. 1 (2024): Advances in Statistical Modeling and Optimal Experimental Design

View Vol. 36 No. 1 (2024): Advances in Statistical Modeling and Optimal Experimental Design

This issue brings together three significant contributions in the fields of time series modeling and experimental design. Topics include:

Spectral density analysis of a modified-ARFIMA model
Performance evaluation of replicated minimum-run Resolution V designs
Efficiency comparisons of A-, D-, and I-optimal designs versus traditional CCD, BBD, and MCCD methods

These papers reflect ongoing innovation in the design, modeling, and analysis of statistical systems.

Published: 2025-08-15

Articles

The Stochastic nonlinear optimal allocations with Weibull cost function when non-response is observed

Ewere, F., Mbegbu, J. I., Okon, E. J.

1 - 27
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An Evaluation of Practical Central Composite Designs for Optimum Exploration of Response Surfaces

Eugene C. Ukaegbu, Polycarp E. Chigbu

29 - 45
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On the Spectral Density of the Modified-ARFIMA Model

A. Bello, M. Tasi’u, H.G. Dikko, B.B. Alhaji

47 - 56
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On the Prediction Variance Performance of Replicated Minimum-Run Resolution V Designs

F. I. Nsude, Elem Uche

57 - 68
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Efficiency of Custom A-, D-, and I- Optimal Designs Relative to CCD, BBD, and MCCD

Israel, C. F., Iwundu, M. P., Nwakuya M. T.

69 - 104
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