Design of experiments : a realistic approach / by Anderson, Virgil L. (Virgil Lee), 1922-, McLean, Robert A.

Subjects: “…Experimental design. sh 85046441…”


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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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Understanding industrial designed experiments / by Schmidt, Stephen R.

Subjects: “…Experimental design. sh 85046441…”


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Computation for the analysis of designed experiments / by Heiberger, Richard M., 1945-

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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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Digital signal processing and applications with the OMAP-L138 eXperimenter / by Reay, Donald (Donald S.)

Table of Contents: “…Digital Signal Processing and Applications with the OMAP-L138 eXperimenter; Contents; Preface; List of Examples; 1. …”
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Experiments in terror.

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Acres of Skin : Human Experiments at Holmesburg Prison. by Hornblum, Allen M.

Table of Contents: “…This Material Is Extremely Toxic.~ The dioxin experiments.…”
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Activity and experience : sources of English informal education / by Smith, Lydia Averell Hurd

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Victims and survivors of Nazi human experiments : science and suffering in the Holocaust / by Weindling, Paul

Table of Contents: “…Cover page; Halftitle page; Title page; Copyright page; CONTENTS; ILLUSTRATIONS; ACKNOWLEDGEMENTS; ABBREVIATIONS; PREFACE; Researching victims; Note on names and identities; CHAPTER ONE Exploring experiments; Concealed depths; Experiments as exploitation; Nameless victims; Experiments as experience; The meaning of 'an experiment'; PART ONE Eugenics to experiments, 1933 to 1941; CHAPTER TWO Nazifying medical research; The experimental impulse; Man and beast; The new German healing; Nazifying medical research; CHAPTER THREE On the slippery slope: From eugenics to experiments.…”
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Experimental film and anthropology /

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The uses of humans in experiment : perspectives from the 17th to the 20th century /

Table of Contents: “…The hermaphrodite of Charing Cross / Anita Guerrini -- Galvanic humans / Rob Iliffe -- The subject as instrument : galvanic experiments, organic apparatus and problems of calibration / Joan Steigerwald -- Shocking subjects : human experiments and the material culture of medical electricity in eighteenth-century England / Paola Bertucci -- Pneumatic chemistry, self-experimentation and the burden of revolution, 1780-1805 / Larry Stewart -- Food fights : human experiments in late nineteenth-century nutrition physiology / Elizabeth Neswald -- Experimenting with radium therapy : in the laboratory & the clinic / Katherine Zwicker -- Anthropometry, race, and eugenic research : "Measurements of growing Negro children" at the Tuskegee Institute, 1932-1944 / Paul A. …”
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Planning, construction, and statistical analysis of comparative experiments / by Giesbrecht, Francis G., 1935-

Table of Contents: “…Linear Models for Designed Experiments -- 4. Testing Hypotheses and Determining Sample Size -- 5. …”
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Planning, construction, and statistical analysis of comparative experiments / by Giesbrecht, Francis G., 1935-

Table of Contents: “…Completely randomized design -- Linear models for designed experiments -- Testing hypotheses and determining sample size -- Methods of reducing unexplained variation -- Latin squares -- Split-plot and related designs -- Incomplete block designs -- Repeated treatments designs -- Factorial experiments: The 2N system -- Factorial experiments: The 3N system -- Analysis of experiments without designed error terms -- Confounding effects with blocks -- Fractional factorial experiments -- Response surface designs -- Plackett-Burman Hadamard plans -- General pN and nonstandard factorials -- Plans for which run order is important -- Sequences of fractions of factorials -- Factorial experiments with quantitative factors: blocking and fractions -- Supersaturated plans -- Multistage experiments -- Orthogonal arrays and related structures -- Factorial plans derived via orthogonal arrays -- Experiments on the computer.…”


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Sacred cows and golden geese : the human cost of experiments on animals / by Greek, C. Ray

Subjects: “…Animal experimentation. sh 85005173…”


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The ethical case against animal experiments /

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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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Anspruchserfüllung und Portfolioauswahl : Theoretische Diskussion und Experimentelle Evidenz. by Güth, Werner

Subjects: “…Education Experimental methods.…”
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Quality by experimental design / by Barker, Thomas B.

Table of Contents: “…part Part I: The Philosophy of Experimentation --…”
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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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