Experimental design.
Overview
| Works: | 180 works in 28 publications in 28 languages | |
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Titles
Designing experiments and analyzing data : = a model comparison perspective /
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Introduction to research : = understanding and applying multiple strategies /
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Introduction to linear models and the design and analysis of experiments.
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World class quality : = using design of experiments to make it happen /
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Applied linear statistical models : = regression, analysis of variance, and experimental designs /
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Statistical design and analysis of experiments : = with applications to engineering and science /
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Engineering quality by design : = interpreting the Taguchi approach /
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Techniques for wildlife investigations : = design and analysis of capture data /
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Statistics for experimenters : = an introduction to design, data analysis, and model building /
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Statistics and experimental design : = an introduction for biologists and biochemists /
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Efficiency in research, development, and production : = the statistical design and analysis of chemical experiments /
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Linear and nonlinear models for the analysis of repeated measurements /
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Response surface methodology : = process and product optimization using designed experiments /
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Experiments with mixtures : = designs, models, and the analysis of mixture data /
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Statistical methods, experimental design, and scientific inference /
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The Design of experiments : = statistical principles for practical applications /
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Experimental design and model choice : = the planning and analysis of experiments with continuous or categorical response /
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Response surface methodology : = process and product optimization using designed experiments /
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Experiments : = planning, analysis, and parameter design optimization /
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Experiments with mixtures : = designs, models, and the analysis of mixture data /
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Planning, construction, and statistical analysis of comparative experiments /
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Statistics for experimenters : = design, innovation, and discovery /
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Designing experiments and analyzing data = a model comparison perspective /
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Statistical design and analysis for intercropping experiments.. Vol. II,. Three or more crops
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Single-case and small-n experimental designs = a practical guide to randomization tests /
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Design and analysis of gauge R&R studies = making decisions with confidence intervals in random and mixed ANOVA models /
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Statistical design and analysis for intercropping experiments.. Volume II,. Three or more crops
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Statistics and Scientific Method = An Introduction for Students and Researchers /
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(Electronic resources)
Theory of factorial design : = single- and multi-stratum experiments /
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Introduction to mixed modelling = beyond regression and analysis of variance /
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Introduction to mixed modelling : = beyond regression and analysis of variance /
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Introduction to research = understanding and applying multiple strategies /
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(Electronic resources)
Single-case research designs : = methods for clinical and applied settings /
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Single case experimental designs : = strategies for studying behavior for change /
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Experimental design = with applications in management, engineering and the sciences /
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Traceable human experiment design research = theoretical model and practical guide /
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Living without mathematical statistics = accurate analysis, diagnosis, and prognosis based on the Taguchi method /
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Introduction to engineering statistics and Lean Six Sigma = statistical quality control and design of experiments and systems /
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Statistical methods for experimental research in education and psychology
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Design of experiments for chemical, pharmaceutical, food, and industrial applications
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Determining sample size and power in research studies = a manual for researchers /
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(Electronic resources)
Single-case research designs : = methods for clinical and applied settings /
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Industrial design of experiments = a case study approach for design and process optimization /
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(Electronic resources)
Introduction to experimental designs with PROC GLIMMIX of SAS = applications in food science and agricultural science /
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(Electronic resources)
Designing experiments and analyzing data : = a model comparison perspective /
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Understanding experimental design and interpretation in pharmaceutics /
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Resource selection by animals : = statistical design and analysis for field studies /
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Social experiments : = evaluating public programs with experimental methods /
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Designing experiments and analyzing data = a model comparison perspective /
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The design of material, organism, and minds = different understandings of design /
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Robust response surfaces, regression, and positive data analyses /
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