Results 1 to 10 of about 89,148 (249)

Nutrient enrichment effects are conditional on upstream nutrient concentrations: Implications for bioassessment in multi-use catchments

Ecological Indicators, 2021
Human impacts on stream ecosystems are expected to intensify with population growth and climate change. Decisive information on how stream communities respond to cumulative human impacts is therefore integral for protecting streams draining multi-use ...
Nolan J.T. Pearce, Isabelle Lavoie, Kathryn E. Thomas, Patricia A. Chambers, Adam G. Yates   +4 more
doaj   +1 more source

Optimal Covariate Allocation in Asymmetrical Factorial Designs: A Comparative Analysis of Design Choices

International Journal of Statistical Sciences
Factorial designs play a crucial role in experimental research, enabling the examination of multiple factors and their influence on an outcome variable.
Sobita Sapam, Ganesh Dutta, Bikas K. Sinha   +2 more
semanticscholar   +1 more source

Wild bootstrapping rank-based procedures: Multiple testing in nonparametric factorial repeated measures designs

Journal of Multivariate Analysis, 2019
Repeated measures designs are frequently used for planning experiments in the life or social sciences. Typical examples include the comparison of different treatments over time, where both factor levels may possess an additional structure.
M. Umlauft, Marius Placzek, Frank Konietschke, Markus Pauly   +3 more
semanticscholar   +1 more source

Bayesian regression modeling (for factorial designs): A tutorial

, 2019
Generalized linear mixed models are handy tools for statistical inference, and Bayesian approaches to applying these become increasingly popular. This tutorial provides an accessible, non-technical introduction to the use and feel of Bayesian mixed ...
M. Franke, Timo B. Roettger
semanticscholar   +1 more source

Ordering factorial experiments

Journal of The Royal Statistical Society Series B-statistical Methodology, 2023
In many practical experiments, both the level combinations of factors and the addition orders will affect the responses. However, virtually no construction methods have been provided for such experimental designs. This paper focuses on such experiments,
Liuqing Yang, Yongdao Zhou, Min-Qian Liu
semanticscholar   +1 more source

Statistics applied to plant micropropagation: a critical review of inadequate use

Bioscience Journal, 2018
Statistical analyses are an essential part of scientific research. Various procedures since the preparation of the experiment have an impact on the statistical procedures adopted. Therefore, a correct planning implies a precise analysis.
Vanderley José Pereira, Simone Abreu Asmar, Nádia Giaretta Biase, José Magno Queiroz Luz, Berildo de Melo   +4 more
doaj   +3 more sources

Holistic Design of Experiments Using an Integrated Process Model

Bioengineering, 2022
Statistical experimental designs such as factorial, optimal, or definitive screening designs represent the state of the art in biopharmaceutical process characterization.
Thomas Oberleitner, Thomas Zahel, Barbara Pretzner, Christoph Herwig   +3 more
doaj   +1 more source

Efficiency of Full and Fractional Factorial Designs in Quality Management: A Case Study on Identifying Key Adhesion Factors

Forum Scientiae Oeconomia
The Design of Experiments (DoE) method is a fundamental tool in quality management, providing a structured approach to process optimisation, reducing variability, and identifying key factors that influence outcomes. By systematically planning, executing,
Aleksy Kwilinski, Maciej Kardas
doaj   +1 more source

Implementing Clinical Research Using Factorial Designs: A Primer

The Behavior Therapist, 2017
Factorial experiments have rarely been used in the development or evaluation of clinical interventions. However, factorial designs offer advantages over randomized controlled trial designs, the latter being much more frequently used in such research ...
T. Baker, Stevens S. Smith, D. Bolt, Wei-Yin Loh, R. Mermelstein, M. Fiore, Megan E. Piper, L. Collins   +7 more
semanticscholar   +1 more source

AgroR: An R package and a Shiny interface for agricultural experiment analysis

Acta Scientiarum. Agronomy
Statistical analysis is central to agricultural research, but the complexity of statistical methodologies and programming languages, such as R, often poses challenges for researchers.
Gabriel Danilo Shimizu, Rodrigo Yudi Palhaci Marubayashi , Leandro Simões Azeredo Gonçalves   +2 more
doaj   +1 more source