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Analysis of variance --- Experimental design --- Statistiek.

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Analysis of variance --- Experimental design --- #ABIB:astp --- 519.242 --- 519.2 --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- 519.242 Experimental design. Optimal designs. Block designs --- Experimental design. Optimal designs. Block designs --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Statistics --- Analysis of means --- ANOVA (Analysis of variance) --- Variance analysis --- Mathematical statistics --- Experiments --- Methodology --- Biological techniques

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Mathematical statistics --- Longitudinal method --- Social sciences --- Méthode longitudinale --- Sciences sociales --- Research --- Recherche --- Analysis of variance --- Mathematical models --- Statistical methods --- #PBIB:1999.1 --- #SBIB:303H520 --- #SBIB:AANKOOP --- #SBIB:003.AANKOOP --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Analysis of variance. --- Methoden en technieken --- Longitudinal studies. --- Mathematical models. --- Statistical methods. --- speciale methoden --- speciale methoden. --- Speciale methoden. --- Méthode longitudinale --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- ANOVA (Analysis of variance) --- Variance analysis --- Experimental design --- Longitudinal studies --- Social sciences - Mathematical models --- Social sciences - Statistical methods

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The most accessible introduction to the theory and practice of multivariate analysisMultivariate Statistical Inference and Applications is a user-friendly introduction to basic multivariate analysis theory and practice for statistics majors as well as nonmajors with little or no background in theoretical statistics. Among the many special features of this extremely accessible first text on multivariate analysis are:* Clear, step-by-step explanations of all key concepts and procedures along with original, easy-to-follow proofs* Numerous problems, examples, and tables of distributions* Many real-world data sets drawn from a wide range of disciplines* Reviews of univariate procedures that give rise to multivariate techniques* An extensive survey of the world literature on multivariate analysis* An in-depth review of matrix theory* A disk including all the data sets and SAS command files for all examples and numerical problems found in the bookThese same features also make Multivariate Statistical Inference and Applications an excellent professional resource for scientists and clinicians who need to acquaint themselves with multivariate techniques. It can be used as a stand-alone introduction or in concert with its more methods-oriented sibling volume, the critically acclaimed Methods of Multivariate Analysis.

Mathematical statistics --- Multivariate analysis. --- Analyse multivariée --- Multivariate analysis --- 519.2 --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Matrices --- Probability. Mathematical statistics --- Methoden en technieken --- speciale methoden --- speciale methoden. --- 519.2 Probability. Mathematical statistics --- Analyse multivariée --- Statistique mathématique --- Statistique mathematique --- Analyse multivariee

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The design inference uncovers intelligent causes by isolating their key trademark: specified events of small probability. Just about anything that happens is highly improbable, but when a highly improbable event is also specified (i.e. conforms to an independently given pattern) undirected natural causes lose their explanatory power. Design inferences can be found in a range of scientific pursuits from forensic science to research into the origins of life to the search for extraterrestrial intelligence. This challenging and provocative 1998 book shows how incomplete undirected causes are for science and breathes new life into classical design arguments. It will be read with particular interest by philosophers of science and religion, other philosophers concerned with epistemology and logic, probability and complexity theorists, and statisticians.

Experimental design. --- Probabilities. --- Experimental design --- Probabilities --- Plan d'expérience --- Probabilités --- Probability --- Statistical inference --- Design of experiments --- Statistical design --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Mathematical optimization --- Research --- Science --- Statistical decision --- Statistics --- Analysis of means --- Analysis of variance --- Experiments --- Methodology --- Arts and Humanities --- Philosophy --- Intelligent design (Teleology)