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Design and analysis of experiments

Deals with the philosophical basis for experimental design and a mathematical statistical framework within which to discuss the subject.

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  • "Advanced experimental design"@en
  • "Introduction to experimental design"@it
  • "Introduction to experimental design"@en

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  • "The principles of experimental design, Elementary statistical notions, An introduction to the theory of least squares, The general linear hypothesis or multiple regression and the analysis of variance, The analysis of multiple classifications, Randomization, The validity of analysis of randomized experiments, Randomized blocks, Plot techinique, The sensitivity of randomized block and latin square experiments, Experiments involving several factors, Conofounding in 2 factorial experimemts, Partial confounding in s factorial experiments, Experiments involving factors with s levels, The general p factorial system, Other factorial experiments, Split-plot experiments, Fractional replication, The general case of fractional replication, Quasifactorial or lattice and incomplete block designs, Lattice designs, Lattice designs with two restrictions, Rectangular lattices, Bolanced incomplete block design, Partially balanced incomplet block design, Experiments on infinite populations and groups of experiments, Treatments applied in sequence."
  • "Deals with the philosophical basis for experimental design and a mathematical statistical framework within which to discuss the subject."@en
  • "Design and analysis of experiments/Hinkelmann.-v.1."
  • "The principles of experimental design. An introduction to the therory of least squares. The general lenear hypothesis or multiple regression and the analysis of variance. The analysis of multipli classifications. Randomization. The valdity of analysis of randomized experiments. Randomized. Latin squares. Plot technique. The sensitivity of randomized blook and latin square experiments. Experiments involving sevaral factors. Confonding in 2 factorial experiments. Partial confounding in 2 factorial experiments. Experiments involving factors with 3 levels. The general p factorial system. Other factorial experiments. Split-plot experiments. Fractional replication. The general case of fractional replication. Quasifactorial or latice and incomplete block designs. Lattice designs. Lattice designs with two restrictions. Rectangular lattices. Balanced incomplete block designs. Partially balanced incomplete block designs.Experiments on infinite populations and groups of experiments. Treatments applied in sequence."
  • "This book is the first of two volumes that update Oscar Kempthorne's groundbreaking 1952 classic of the same name and is concerned primarily with the philosophical basis for experimental design and a mathematical statistical framework within which to discuss the subject. As the primary focus is on intervention studies, the authors begin with a thorough discussion of linear models. At the heart of the book is a series of error control designs based on fundamental design principles such as randomization, blocking, the Latin square principle, the split unit principle, and the notion of factorial treatment structure."@en
  • "This user-friendly new edition reflects a modern and accessible approach to experimental design and analysisDesign and Analysis of Experiments, Volume 1, Second Edition provides a general introduction to the philosophy, theory, and practice of designing scientific comparative experiments and also details the intricacies that are often encountered throughout the design and analysis processes. With the addition of extensive numerical examples and expanded treatment of key concepts, this book further addresses the needs of practitioners and successfully provides a solid understanding of the relat."
  • "The principles of experimental design; Elementary statistical notions; An introduction to the tehory of least squares; The general linear hypthesis or multiple regression and the analysis of variance; The analysis of multiple classifications; Randomization; The validity of analyses of randomized experiments."
  • "The principles of experimental design. Introduction. An illustrative example. An example on flavor discrimination. Elementary statistical notions. Populations, distributions, parameters. The normal distribution and derived distributions. Linear functions of normally distributed variates. Orthogonality. Other distributions. estimation. The testing of hypotheses. Interval estimation. An introduction to the theory of least squares. Introduction. The markoff theorem. A non-linear example. The general linear hypothesis or multiple regression and the analysis of variance. Description of statistical procedures. Extension. The likelihood ratio test. Reduction of other cases of regression. Orthogonality. Quantity of information. Proof of the results of thischapter. The testing of a subhypothesis. The canonical form of the general linear hypothesis. The analysis of multiple classifications. The 2-way classification with on observation per cell. Alternative approach to hypotheses not of full rank. The 2-way classification with unequal numbers and no interaction. A numerical example. The case of proportional frequencies. More complex classifications. The 2-way classification with interaction. The general p-way classification without interaction. The case of missing observations in planned n-way classifications. The alternative method of analyzing incomplete experiments. Proof of alternative procedure for missing plots. The analysis of covariance. Components of variance. The hierarchal classification...."

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  • "Electronic resource"@en
  • "Electronic resource"
  • "Electronic books"@en
  • "Electronic books"

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  • "Design and analysis of experiments"@it
  • "Design and analysis of experiments"
  • "Design and analysis of experiments"@en
  • "The Desing and Analysis of Experiments"
  • "Design and Analysis of Experiments Volume 1, Introduction to Experimental Design"@en
  • "The design and analysis of experiments"
  • "The design and analysis of experiments"@en
  • "Design and Analysis of Experiments"@en
  • "Design and Analysis of Experiments"
  • "The désign and analysis of experiments"
  • "Design and Analysis of Experiments, Introduction to Experimental Design"
  • "The Design and Analysis of Experiments"@en
  • "Design and analysis of experiments : INTRODUCTION TO EXPERIMENTAL DESIGN"
  • "The Design and analysis of experiments"
  • "Design and analysis of experiments : advanced experimental design"

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