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, Analysis of Variance for Functional Data presents up-to-date hypothesis testing methods for functional data analysis. The book covers the;
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script, so both new and established techniques are presented for coping with non-standard situations. Because data analysis is not a closed;
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Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis;
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Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between;
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Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between;
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, guides readers step by step through the basic concepts of research and data analysis, to data input, and on to ANOVA (analysis of variance) and;
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volume.* Describes analysis of variance (ANOVA) procedures in balanced and unbalanced data situations.* Examines methods for determining the;
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discussions of balanced data, analysis of variance for unbalanced data, predictions of random variables, hierarchical models and Bayesian estimation;
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Introducing a revolutionary new model for the statistical analysis of experimental data In this important book, internationally acclaimed;
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Data Analysis for Research Designs covers the analytical techniques for the analysis of variance (ANOVA) and multiple regression;
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. There is a multitude of techniques available for analysing such data and in the past this has led to some confusion. This book describes the;
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. There is a multitude of techniques available for analysing such data and in the past this has led to some confusion. This book describes the;
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Geostatistical Functional Data Analysis Explore the intersection between geostatistics and functional data analysis with this insightful;
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Analysis of Variance (ANOVA) is a statistical technique used in a number of chemical areas including the food industry. This handbook is a;
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The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for;
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Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling;
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Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling;
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This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical;
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This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical;
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flexible methodology for testing differences among means. This monograph considers the multivariate form of analysis of variance (MANOVA) and;
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statistical packages for microcomputers, linking the use of ANOVA to regression analysis, and enchancing their discussion on using ANOVA for;
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Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond is an integrated treatment of data analysis for the social and;
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Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond is an integrated treatment of data analysis for the social and;
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Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook of Functional MRI Data;
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data and financial analysis, and reproduce stylised facts on volatility and variance markets * Gain an understanding of the fundamental;
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data analysis. A good understanding of data sets and functional programming is assumed.;
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of slopes; a classification with both crossed and nested effects; and analysis of variance for balanced data. This fourth edition includes updated;
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