Experiments with mixtures : designs, models, and the analysis of mixture data / by Cornell, John A., 1941-

Table of Contents: “…Front Matter -- Introduction -- The Original Mixture Problem: Designs and Models for Exploring the Entire Simplex Factor Space -- The Use of Independent Variables -- Multiple Constraints on the Component Proportions -- The Analysis of Mixture Data -- Other Mixture Model Forms -- The Inclusion of Process Variables in Mixture Experiments -- Additional Topics -- Matrix Algebra, Least Squares, and the Analysis of Variance -- Data Sets from Mixture Experiments with Partial Solutions -- Bibliography and Index of Authors -- Answers to Selected Questions -- Appendix -- Index -- Wiley Series in Probability and Statistics.…”
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Experimental methods for evaluation of hydrotreating catalysts /

Table of Contents: “…Composition and its Role in Catalytic Activity 31 2.7 Chemisorption and Measurement of Catalytic Site Experiments 33 2.7.1 Experimental Technology 34 2.7.2 LTOC Experiments 34 2.8 Relation Between Activity and Characterization 37 2.9 Calculation of the Kinetics Rate and Intrinsic Activity 38 2.10 Additional Data for Catalytic Activity in a Glass Reactor 39 2.11 Conclusions 41 References 42 3 Experimentation with Model Molecules in Batch Reactors 47; Pablo Torres-Mancera, Patricia Rayo,…”
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Computer simulations and the changing face of scientific experimentation /

Subjects: “…Science Experiments Computer simulation Congresses.…”
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The design and conduct of meaningful experiments involving human participants : 25 scientific principles / by Bausell, R. Barker, 1942-

Table of Contents: “…Part I: Introduction to the Experimental Process. Conducting Meaningful Experiments: Prerequisites and Purposes ; Causal Inferences and the Strange (but Fictitious) Case of Mrs. …”
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Design of experiments for engineers and scientists by Antony, Jiju

Subjects: “…Experimental design.…”
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Model-Oriented Design of Experiments. by Bickel, P.

Table of Contents: “…Lecture Notes in Statistics; Model-Oriented Design of Experiments; Copyright; Preface; Contents; Introduction; Chapter 1 Some Facts From Regression Analysis; Chapter 2 Convex Design Theory; Chapter 3 Numerical Techniques; Chapter 4 Optimal Design under Constraints; Chapter 5 Special Cases and Applications; Appendix A Some Results from Matrix Algebra; Appendix B List of Symbols; References; Index.…”
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Understanding industrial designed experiments / by Schmidt, Stephen R.

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Laboratory experiments in the social sciences

Subjects: “…Social sciences Experiments.…”
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Activity and experience : sources of English informal education / by Smith, Lydia Averell Hurd

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Applied Regression Analysis and Experimental Design / by Brook, Richard J.

Table of Contents: “…PrefaceFitting a Model to DataIntroductionHow to Fit a LineResidualsTransformations to Obtain LinearityFitting a Model Using Vectors and MatricesDeviations from MeansAn Example- Value of a Postage Stamp Over TimeProblems Goodness of Fit of the ModelIntroductionCoefficient Estimates for Univariate RegressionCoefficient Estimates for Mulitvariate RegressionANOVA TablesThe F TestThe Coefficient of DeterminationPredicted Values of Y and Confidence IntervalsResidualsReduced ModelsPure Error and Lack of FitExample- Lactation CurveProblemsWhich Variable Should Be Included in the ModelIntroductionOrthogonal Predictor VariablesLinear Transformations of the Predictor VariablesAdding Nonorthogonal Variables SequentiallyCorrelation FormVariable Selection- All Possible RegressionsVariable Selection- Sequential MethodsQualitative (Dummy) VariablesAggregation of DataProblemsPeculiarities of ObservationsIntroductionSensitive or High Leverage PointsOutliersWeighted Least SquaresMore on TransformationsEigenvalues and Principal ComponentsRidge RegressionPrior InformationCleaning up DataProblemsThe Experimental Design ModelIntroductionWhat Makes an Experiment The Linear ModelTests of HypothesisTesting of AssumptionsProblemsAssessing the Treatment MethodsIntroductionSpecific Hypothesis ContrastsFactorial AnalysisUnpredicted EffectsConclusionProblemsBlockingIntroductionStructure of Experimental UnitsBalanced Incomplete Block DesignsConfoundingMiscellaneous TricksProblems Extensions to the ModelIntroductionHierarchic DesignsRepeated MeasuresCovariance AnalysisUnequal ReplicationModeling the DataProblemsAppendix A Review of Vectors an.…”
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Fungi : experimental methods in biology / by Maheshwari, Ramesh

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Practical experiment designs for engineers and scientists / by Diamond, William J., 1919-

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Optimal Mixture Experiments by Sinha, Bikas Kumar

Subjects: “…Experimental design.…”
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Design and Analysis of Experiments . Volume 3, Special Designs and Applications

Table of Contents: “…2.4 INTRODUCTION TO GENE EXPRESSION MICROARRAY EXPERIMENTAL DESIGN; 2.5 TWO-TREATMENT EXPERIMENTS USING TWO-COLOR MICROARRAYS; 2.6 TWO-COLOR MICROARRAY EXPERIMENTS INVOLVING MORE THAN TWO TREATMENTS; 2.7 MULTIFACTOR TWO-COLOR MICROARRAY EXPERIMENTS; 2.7.1 Introduction; 2.7.2 Admissible Designs; 2.7.3 w-Optimal Designs; 2.7.4 e-Efficiency; 2.8 PHASE 2 DESIGNS FOR COMPLEX PHASE 1 DESIGNS; REFERENCES; CHAPTER 3: Spatial Analysis of Agricultural Field Experiments; 3.1 INTRODUCTION; 3.2 METHODS TO ACCOUNT FOR SPATIAL VARIATION; 3.2.1 Design of Experiments; 3.2.2 Spatial Analysis Methods.…”
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Fungi experimental methods in biology / by Maheshwari, Ramesh

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Statistical design and analysis of experiments : with applications to engineering and science / by Mason, Robert L. (Robert Lee), 1946-

Table of Contents: “…Statistics in Engineering and Science -- Fundamentals of Statistical Inference -- Inferences on Means and Standard Deviations -- Statistical Principles in Experimental Design -- Factorial Experiments in Completely Randomized Designs -- Analysis of Completely Randomized Designs -- Fractional Factorial Experiments -- Analysis of Fractional Factorial Experiments -- Experiments in Randomized Block Designs -- Analysis of Designs with Random Factor Levels -- Nested Designs -- Special Designs for Process Improvement -- Analysis of Nested Designs and Designs for Process Improvement -- Linear Regression with One Predictor Variable -- Linear Regression with Several Predictor Variables -- Linear Regression with Factors and Covariates as Predictors -- Designs and Analyses for Fitting Response Surfaces -- Model Assessment -- Variable Selection Techniques.…”
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Experiments with mixtures : designs, models, and the analysis of mixture data / by Cornell, John A., 1941-

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Experiments with mixtures : designs, models, and the analysis of mixture data / by Cornell, John A., 1941-

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Design and Analysis of Ecological Experiments. by Scheiner, Samuel M.

Table of Contents: “…Contents; Contributors; 1 Theories, Hypotheses, and Statistics; 2 Power Analysis and Experimental Design; 3 Exploratory Data Analysis and Graphic Display; 4 ANOVA: Experimental Layout and Analysis; 5 ANOVA and ANCOVA: Field Competition Experiments; 6 MANOVA: Multiple Response Variables and Multispecies Interactions; 7 ANCOVA: Nonparametric and Randomization Approaches; 8 Repeated-measures Analysis: Growth and Other Time-dependent Measures; 9 Time Series Intervention Analysis: Unreplicated Large-scale Experiments; 10 Nonlinear Curve Fitting: Predation and Functional Response Curves.…”
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Design and analysis of ecological experiments

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