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Analysis of variance --- Experimental design --- Sampling (Statistics) --- Analysis of variance. --- Experimental design. --- Sampling (Statistics).
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Analysis of variance. --- Analysis (mathematics) --- Impact. --- Uncertain systems. --- Interpolation.
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Analysis of variance. --- Experimental design. --- Methoden en technieken --- algemene methodologie.
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Smoothing (Statistics) --- Estimation theory --- Analysis of variance --- 519.2 --- Probability. Mathematical statistics --- 519.2 Probability. Mathematical statistics --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Estimating techniques --- Least squares --- Mathematical statistics --- Stochastic processes --- ANOVA (Analysis of variance) --- Variance analysis --- Experimental design
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"Experimentation is one of the most common activities in which all people engage. In this thoroughly updated Second Edition, Experiments presents the most modern, up-to-date treatment in the design and analysis of experiment topics currently available. The authors - highly recognized researchers in the field - introduce some of the newest discoveries and shed further light on existing ones. Drawing from their impressive roster of industrial clients, the authors modernize accepted methodologies while refining many cutting-edge topics in a single, easily accessible source suitable for upper-undergraduate or beginning-graduate students, practicing engineers, and statisticians."--Publisher's website.
Numerical methods of optimisation --- Statistical science --- Mathematical statistics --- Experimental design --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Statistics --- Analysis of means --- Analysis of variance --- Experiments --- Methodology
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A travers de nombreux exemples réels empruntés à des expérimentateurs issus de secteurs industriels variés, cet ouvrage expose de façon progressive et appliquée les techniques nécessaires à la conduite d'une étude par plans d'expériences. L'ensemble des types de plans est décrit de manière détaillée : plan factoriel complet, plan fractionnaire, plan pour surface de réponse, plan de mélanges, plan optimal, plan pour variables discrètes. En outre, cette 4e édition aborde également : les plans mixant des facteurs continus et des facteurs discrets. Ce type de situation nécessite des précautions particulières pour éviter des erreurs lors de l'interprétation des résultats ; les plans uniformes, de plus en plus utilisés dans le domaine des simulations numériques. L'absence d'erreur expérimentale impose des plans tout à fait différents des plans classiques et l'interprétation nécessite des méthodes mathématiques qui ne ressemblent en rien aux méthodes habituelles de l'expérimentique. Par ailleurs, une version récente et complète du logiciel de plans d'expériences JMP (SAS Institute Inc.) est téléchargeable. Ce logiciel permet de réaliser rapidement les calculs les plus complexes et de tracer les diagrammes des exemples d'applications proposé
Experimental design. --- Quality control. --- Testing. --- Optimal designs (Statistics) --- Factorial experiment designs. --- Analysis of variance. --- Plan d'expérience. --- Qualité --- Essais (technologie) --- Analyse de variance. --- Plans optimaux (statistique) --- Plans factoriels. --- Contrôle.
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This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.
Cluster analysis. --- Multivariate analysis. --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Mathematical statistics --- Matrices --- Correlation (Statistics) --- Multivariate analysis --- Spatial analysis (Statistics) --- Cluster analysis --- Data processing.
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Longitudinal method --- Multivariate analysis --- Regression analysis --- multivariaat --- Academic collection --- regressie-analyse --- wiskundige statistiek --- Longitudinal method. --- Multivariate analysis. --- Regression analysis. --- Analysis, Regression --- Linear regression --- Regression modeling --- Structural equation modeling --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Mathematical statistics --- Matrices --- Longitudinal research --- Longitudinal studies --- Methodology --- Research --- Social sciences --- Statistical methods --- Data analysis --- Data processing --- Wiskundige statistiek
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Multivariate normal and t probabilities are needed for statistical inference in many applications. Modern statistical computation packages provide functions for the computation of these probabilities for problems with one or two variables. This book describes recently developed methods for accurate and efficient computation of the required probability values for problems with two or more variables. The book discusses methods for specialized problems as well as methods for general problems. The book includes examples that illustrate the probability computations for a variety of applications.
Mathematical statistics. --- Multivariate analysis. --- Probabilities. --- Probabilities --- Multivariate analysis --- Mathematical statistics --- Mathematical Statistics --- Mathematics --- Physical Sciences & Mathematics --- Probability --- Statistical inference --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Statistics. --- Statistics and Computing/Statistics Programs. --- Statistical Theory and Methods. --- Combinations --- Chance --- Least squares --- Risk --- Analysis of variance --- Matrices --- Statistics, Mathematical --- Statistics --- Sampling (Statistics) --- Statistical methods --- Statistics . --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics
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#KVHB:Experimentele psychologie --- Experimental design. --- Psychology --- Single subject research. --- Methoden en technieken --- Research. --- speciale methoden --- speciale methoden. --- Experimental design --- Single subject research --- Research, Single subject --- Same-subject research --- Single case research --- Social sciences --- Psychological research --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Statistics --- Analysis of means --- Analysis of variance --- Experiments --- Methodology --- Speciale methoden.
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