Multivariate analysis

Xem 1-20 trên 365 kết quả Multivariate analysis
  • This textbook provides study materials for the participants of the course named Multivariate Analysis of Ecological Data that we teach at our university for the third year. Material provided here should serve both for the introductory and the advanced versions of the course. We admit that some parts of the text would profit from further polishing, they are quite rough but we hope in further improvement of this text.

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  • Recently statistical knowledge has become an important requirement and occupies a prominent position in the exercise of various professions. In the real world, the processes have a large volume of data and are naturally multivariate and as such, require a proper treatment. For these conditions it is difficult or practically impossible to use methods of univariate statistics. The wide application of multivariate techniques and the need to spread them more fully in the academic and the business justify the creation of this book....

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  • (BQ) Part 1 book "Applied multivariate statistical analysis" has contents: Aspects of multivariate analysis, matrix algebra and random vectors; sample geometry and random sampling; sample geometry and random sampling; sample geometry and random sampling; comparisons of several multivariate means.

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  • Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học 'Respiratory Research cung cấp cho các bạn kiến thức về ngành y đề tài: "A multivariate analysis of serum nutrient levels and lung function...

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  • Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về y học đề tài: Multivariate analysis of risk factors for QT prolongation following subarachnoid hemorrhage...

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Multivariate analysis of the Fugl-Meyer outcome measures assessing the effectiveness of GENTLE/S robot-mediated stroke therapy

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Multivariate analysis of the Fugl-Meyer outcome measures assessing the effectiveness of GENTLE/S robot-mediated stroke therapy

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  • Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Time use choices and healthy body weight: A multivariate analysis of data from the American Time use Survey...

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  • (BQ) Part 2 book "Applied multivariate statistical analysis" has contents: Multivariate linear regression models, principal components, factor analysis and inference for structured covariance matrices; canonical correlation analysis; discrimination and classification; clustering, distance methods, and ordination.

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  • (BQ) Part 2 book "Introduction to statistics in psychology" has contents: Statistics and the analysis of experiments, multivariate analysis of variance, multiple regression and multiple correlation, path analysis, binomial logistic regression,...and other contents.

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  • (BQ) Part 2 book "Business statistics" has contents: Simple linear regression and correlation, multiple regression, time series, forecasting, and index numbers, quality control and improvement, bayesian statistics and decision analysis, sampling methods, multivariate analysis,...and other contents.

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  • Applied statistics for civil and environmental engineers has many contents: Preliminary Data Analysis, Basic Probability Concepts, Random Variables and Their Properties, Model Estimation and Testing, Methods of Regression and Multivariate Analysis, Frequency Analysis of Extreme Events, Simulation Techniques for Design, Risk and Reliability Analysis, Bayesian Decision Methods and Parameter Uncertainty.

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  • The statistical analysis of multivariate data requires a variety of techniques that are entirely different from the analysis of one-dimensional data. The study of the joint distribution of many variables in high dimensions involves matrix techniques that are not part of standard curricula. The same is true for transformations and computer-intensive techniques, such as projection pursuit.

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  • This book is an outgrowth of research done by Dr. Gamt Dijsterhuis for his doctoral thesis at the University of Leiden. However, there are also contributions by several other authors, as well, including Eeke van der Burg, John Gower, Pieter Punter, Els van den Broek, and Margo Flipsen. SCIENCE Garmt B. Dijksterhuis, Ph.D. ID-DLO, Institute for Animal Science and Health Food Science Department Lely stad The Netherlands FOOD & NUTRITION PRESS, INC. TRUMBULL, CONNECTICUT 06611 USA .MULTIVARIATE DATA ANALYSIS IN SENSORY AND CONSUMER SCIENCE .

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  • In this paper, we develop a methodology for discovering the thematic structure of the Qur’an based on a fundamental idea in data mining and related disciplines: that, with respect to some collection of texts, the lexical frequency profiles of the individual texts are a good indicator of their conceptual content, and thus provide a reliable criterion for their classification relative to one another.

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  • After studying this chapter you will be able to understand: How to classify and select multivariate techniques, that multiple regression predicts a metric dependent variable from a set of metric independent variables, that discriminant analysis classifies people or objects into categorical groups using several metric predictors.

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  • (BQ) Part 2 book "Research methodology - Methods and techniques" has contents: Chi-square test, testing of hypotheses-I (parametric or standard tests of hypotheses), analysis of variance and covariance, analysis of variance and covariance,...and other contents.

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  • (BQ) Part 2 book "Better business decisions from data - Statistical analysis for professional success" has contents: Relationships with numerical data, relationships with descriptive data, multivariate data, forecasting from known distributions, control charts,...and other contents.

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  • Finance has become increasingly more quantitative, drawing on techniques in probability and statistics that many finance practitioners have not had exposure to before. In order to keep up, you need a firm understanding of this discipline. Probability and Statistics for Finance addresses this issue by showing you how to apply quantitative methods to portfolios, and in all matter of your practices, in a clear, concise manner. Informative and accessible, this guide starts off with the basics and builds to an intermediate level of mastery. ...

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  • ost of the problems of analyzing survey data have been reasonably well handled, except those revolving around the existence of interaction effects. Indeed, increased efficiency in handling multivariate analyses even with non-numerical variables, has been achieved largely by assuming additivity. An approach to survey data is proposed which imposes no restrictions on interaction effects, focuses on importance in reducing predictive error, operates sequentially, and is independent of the extent of linearity in the classifications or the order in which the explanatory factors are introduced...

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