Confidence regions for the location of response surface optima: the R package OptimaRegion-Reference-Cited by-同舟云学术

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Confidence regions for the location of response surface optima: the R package OptimaRegion

Published:2020-10-04 Issue: Volume: Page:1-21
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

del Castillo Enrique¹^ORCID,Chen Peng¹,Meyers Adam¹,Hunt John²,Rapkin James³

Affiliation:

1. Department of Industrial & Manufacturing Engineering and Department of Statistics, The Pennsylvania State University, University Park, PA, USA

2. School of Science and Health, Western Sidney University, Penrith, NSW, Australia

3. Department of Biosciences, University of Exeter, Cornwal, UK

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2020.1823412

Reference28 articles.

1. A CONFIDENCE REGION FOR THE SOLUTION OF A SET OF SIMULTANEOUS EQUATIONS WITH AN APPLICATION TO EXPERIMENTAL DESIGN

2. EXPERIMENTAL EVIDENCE FOR MULTIVARIATE STABILIZING SEXUAL SELECTION

3. Computation of Confidence Regions for Optimal Factor Levels in Constrained Response Surface Problems

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1. Identifying the optimal combinations of temperature and macronutrient balance for rearing Tenebrio molitor larvae;Journal of Insects as Food and Feed;2023-09-21

2. Mapping the nutritional landscape in the yellow mealworm: testing the nutrient-mediated life-history trade-offs;Journal of Experimental Biology;2023-08-14

3. Selection on female reproductive schedules in the marula fly, Ceratitis cosyra (Diptera: Tephritidae) affects dietary optima for female reproductive traits but not lifespan;Frontiers in Insect Science;2023-05-17

4. Nutrigonometry IV: Thales’ theorem to measure the rules of dietary compromise in animals;Scientific Reports;2023-05-08

5. Nutrigonometry III: curvature, area and differences between performance landscapes;Royal Society Open Science;2022-11

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