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Statistical Factor Analysis And Related Methods

of principal components, including Q and three-mode analysis and principal components in the complex domain* Maximum likelihood and weighted factor;

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Principal Component Analysis

analysis in data analysis. Principal component analysis involves a statistical procedure which orthogonally transforms a set of possibly correlated;

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Principal Component Analysis Handbook

This book on Principal component analysis (PCA) is a significant contribution to the field of data analysis. PCA involves a statistical;

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Applied Factor Analysis in the Natural Sciences

in this book, such as classical principal components, principal component factor analysis, principal coordinate analysis, and correspondence;

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A User's Guide to Principal Components

practitioners of principal component analysis. Among the topics explored are extension to p variables, scaling input data, inferential procedures;

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Beginner's Guide to Principal Components

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National accounts statistics

This publication is a summary of the principal national accounting aggregates based on official national accounts data for more than 200;

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Robust Methods for Data Reduction

important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component;

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Robust Methods for Data Reduction

important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component;

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Principal Components Analysis

For anyone in need of a concise, introductory guide to principle components analysis, this book is a must. Through an effective use;

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Exploratory Multivariate Analysis by Example Using R

"An introduction to exploratory techniques for multivariate data analysis, this book covers the key methodology, including principal;

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Introductory Multivariate Statistics for the Environmental Science

diversity, linear regression, ordination, principal components analysis, correspondence analysis, classification, and various other multivariate;

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Pharmaceutical Experimental Design and Interpretation

of experimental design and evaluation such as multivariate, sequential, and principal components analysis. With new sections on neural networks;

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Pharmaceutical Experimental Design and Interpretation

of experimental design and evaluation such as multivariate, sequential, and principal components analysis. With new sections on neural networks;

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Principal Component Analysis

Principal Component Analysis is een boek van Nova Science Publishers;

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Cambridge Manuals in Archaeology

); multiple analysis of variance and discriminant analysis; principal components analysis; correspondence analysis; distances and scaling; and cluster;

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Nonlinear Multivariate Analysis

treated in detail for the most important special cases. Among techniques covered are correspondence analysis, principal components analysis;

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A Study of the Relationship Between Style I Art and Socio-Political Change in Early Medieval Europe

Based on the methodology of the Principal Components Analysis technique, Shepherd proposes a model which seeks directly to relate the;

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Time Series Analysis of Environmental Ecosystems

in this investigation was a Principal Components-based time series analysis (TSA). Using a set of 240 monthly composite multi- band AVHRR images;

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Quantitative Methods in Archaeology Using R

); multiple analysis of variance and discriminant analysis; principal components analysis; correspondence analysis; distances and scaling; and cluster;

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National accounts statistics

The National Accounts Statistics: Analysis of Main Aggregates, 2015 is the forty-sixth issue of this publication which comprises in the;

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National accounts statistics

The National Accounts Statistics: Analysis of Main Aggregates, 2013 is the forty-third issue of this publication which comprises in the;

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National accounts statistics

The National Accounts Statistics: Analysis of Main Aggregates, 2016 is the forty-seventh issue of this publication which comprises in the;

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National accounts statistics

The National Accounts Statistics: Analysis of Main Aggregates, 2017 is the forty-eighth issue of this publication which comprises in the;

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Advanced Linear Modeling

This book introduces several topics related to linear model theory, including: multivariate linear models, discriminant analysis, principal;

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A Handbook of Statistical Analyses using SAS

cover inference, analysis of variance, regression, generalized linear models, longitudinal data, survival analysis, principal components;

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Handbook Of Statistical Analyses Using Sas

cover inference, analysis of variance, regression, generalized linear models, longitudinal data, survival analysis, principal components;

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