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Mathematical statistics --- Analysis of variance --- ANOVA (Analysis of variance) --- Variance analysis --- Experimental design
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The majority of modern instruments are computerised and provide incredible amounts of data. Methods that take advantage of the flood of data are now available; importantly they do not emulate 'graph paper analyses' on the computer. Modern computational methods are able to give us insights into data, but analysis or data fitting in chemistry requires the quantitative understanding of chemical processes. The results of this analysis allows the modelling and prediction of processes under new conditions, therefore saving on extensive experimentation. Practical Data Analysis in Chemistry exe
Analysis of variance. --- Chemistry --- Statistical methods. --- ANOVA (Analysis of variance) --- Variance analysis --- Mathematical statistics --- Experimental design
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"Mixed modeling is one of the most promising and exciting areas of statistical analysis, enabling the analysis of nontraditional, clustered data that may come in the form of shapes or images. This book provides in-depth mathematical coverage of mixed models' statistical properties and numerical algorithms, as well as applications such as the analysis of tumor regrowth, shape, and image. The new edition includes significant updating, over 300 exercises, stimulating chapter projects and model simulations, inclusion of R subroutines, and a revised text format. The target audience continues to be graduate students and researchers. An author-maintained web site is available with solutions to exercises and a compendium of relevant data sets"--
Analysis of variance --- Mathematics --- ANOVA (Analysis of variance) --- Variance analysis --- Mathematical statistics --- Experimental design
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Analysis of variance. --- ANOVA (Analysis of variance) --- Variance analysis --- Mathematical statistics --- Experimental design
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Analysis of variance. --- Spline theory. --- Spline functions --- Approximation theory --- Interpolation --- ANOVA (Analysis of variance) --- Variance analysis --- Mathematical statistics --- Experimental design
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The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters include exercises and the appendices give selected percentage points of the Gaussian, t, F chi-squared and studentized range distributions.
Mathematical statistics --- Analyse de variance --- Analysis of variance --- Variantie-analyse --- ANOVA (Analysis of variance) --- Variance analysis --- Experimental design --- Analysis of variance.
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Mathematical statistics --- Analysis of variance --- Analyse de variance --- Méthode statistique --- Statistical methods --- #ABIB:CHGS --- ANOVA (Analysis of variance) --- Variance analysis --- Experimental design --- Analysis of variance. --- Wiskundige statistiek --- Statistics
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Statistical Analysis
Multivariate analysis --- Analysis of variance --- Data processing. --- ANOVA (Analysis of variance) --- Variance analysis --- Mathematical statistics --- Experimental design --- Statistique mathematique --- Analyse statistique --- Methodes numeriques
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