Principles Of Multivariate Analysis

Author: W. J. Krzanowski
Publisher: Oxford University Press
ISBN: 0198507089
Size: 17.49 MB
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Principles Of Multivariate Analysis from the Author: W. J. Krzanowski. "Overall this volume provides an up-to-date and readable account of the subject, both for students of statistics and for research workers in subjects as diverse as anthropology, education, industry, medicine, and taxonomy."--BOOK JACKET.

Multivariate Analysis

Author: W. J. Krzanowski
Publisher: Wiley
ISBN: 9780340593257
Size: 51.66 MB
Format: PDF, Docs
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Multivariate Analysis from the Author: W. J. Krzanowski. The second of a two-part work on multivariate analysis, this volume covers more specialized techniques; topics include discriminant analysis, cluster analysis, path analysis, graphical modelling, latent variable techniques, repeated measures analysis and growth curve models. Modern problems and techniques, such as handling of high dimensional data and the use of neural networks are featured and the book concludes with a discussion of strategic aspects of multivariate analysis.

Techniques And Applications Of Hyperspectral Image Analysis

Author: Hans Grahn
Publisher: John Wiley & Sons
ISBN: 9780470010877
Size: 43.34 MB
Format: PDF, Kindle
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Techniques And Applications Of Hyperspectral Image Analysis from the Author: Hans Grahn. Techniques and Applications of Hyperspectral Image Analysis gives an introduction to the field of image analysis using hyperspectral techniques, and includes definitions and instrument descriptions. Other imaging topics that are covered are segmentation, regression and classification. The book discusses how high quality images of large data files can be structured and archived. Imaging techniques also demand accurate calibration, and are covered in sections about multivariate calibration techniques. The book explains the most important instruments for hyperspectral imaging in more technical detail. A number of applications from medical and chemical imaging are presented and there is an emphasis on data analysis including modeling, data visualization, model testing and statistical interpretation.

Nonlinear Multivariate Analysis

Author: Albert Gifi
Publisher: John Wiley & Sons Incorporated
ISBN: 9780471926207
Size: 22.63 MB
Format: PDF, ePub, Docs
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Nonlinear Multivariate Analysis from the Author: Albert Gifi. Conventions and controversies in multivariate analysis; Coding of categorical data; Homogeneity analysis; Nonlinear principal components analysis; Nonlinear generalized canonical analysis; Nonlinear canonical correlation analysis; Asymmetric treatment of sets: some special cases, some future programs; Multidimensional scaling and correspondende analysis; Models as gauges for the analysis of binary data; Reflections on restrictions; Nonlinear multivariate analysis: principles and possibilities; The study of stability; The proof of the pudding.

The Chicago Guide To Writing About Multivariate Analysis Second Edition

Author: Jane E. Miller
Publisher: University of Chicago Press
ISBN: 022603819X
Size: 60.65 MB
Format: PDF, Mobi
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The Chicago Guide To Writing About Multivariate Analysis Second Edition from the Author: Jane E. Miller. Many different people, from social scientists to government agencies to business professionals, depend on the results of multivariate models to inform their decisions. Researchers use these advanced statistical techniques to analyze relationships among multiple variables, such as how exercise and weight relate to the risk of heart disease, or how unemployment and interest rates affect economic growth. Yet, despite the widespread need to plainly and effectively explain the results of multivariate analyses to varied audiences, few are properly taught this critical skill. The Chicago Guide to Writing about Multivariate Analysis is the book researchers turn to when looking for guidance on how to clearly present statistical results and break through the jargon that often clouds writing about applications of statistical analysis. This new edition features even more topics and real-world examples, making it the must-have resource for anyone who needs to communicate complex research results. For this second edition, Jane E. Miller includes four new chapters that cover writing about interactions, writing about event history analysis, writing about multilevel models, and the “Goldilocks principle” for choosing the right size contrast for interpreting results for different variables. In addition, she has updated or added numerous examples, while retaining her clear voice and focus on writers thinking critically about their intended audience and objective. Online podcasts, templates, and an updated study guide will help readers apply skills from the book to their own projects and courses. This continues to be the only book that brings together all of the steps involved in communicating findings based on multivariate analysis—finding data, creating variables, estimating statistical models, calculating overall effects, organizing ideas, designing tables and charts, and writing prose—in a single volume. When aligned with Miller’s twelve fundamental principles for quantitative writing, this approach will empower readers—whether students or experienced researchers—to communicate their findings clearly and effectively.

Principles Of Plant Genetics And Breeding

Author: George Acquaah
Publisher: John Wiley & Sons
ISBN: 1444309013
Size: 31.35 MB
Format: PDF
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Principles Of Plant Genetics And Breeding from the Author: George Acquaah. Until recently, plant breeders have depended primarily on classical tools to develop new and improved products for producers and consumers. However, with the advent of biotechnology, breeders are increasingly incorporating molecular tools in their breeding work. In recognition of the current state of methods and their application, this text introduces both classical and molecular tools for plant breeding. Topics such as biotechnology in plant breeding, intellectual property, risks, emerging concepts (decentralized breeding, organic breeding), and more are addressed in this state of the art text. The final 8 chapters provide a useful reference on breeding the largest and most common crops. In addition, over 25 plant breeders share their professional experiences while illustrating concepts in the text. Features include: Comprehensive presentation of both classical and molecular plant breeding tools Industry highlight essays from over 25 professional plant breeders Chapter introductions, summaries and discussion questions Easy reference glossary Reference chapters on breeding 8 of the largest and most common crops Artwork from the book is available to instructors online at www.blackwellpublishing.com/acquaah. An Instructor manual CD-ROM for this title is available. Please contact our Higher Education team at [email protected] for more information.

Applied Multivariate Analysis

Author: Neil H. Timm
Publisher: Springer Science & Business Media
ISBN: 0387953477
Size: 15.82 MB
Format: PDF
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Applied Multivariate Analysis from the Author: Neil H. Timm. Timm provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both theory and practice including the analysis of formal linear models and exploratory analysis techniques.

Multi And Megavariate Data Analysis Basic Principles And Applications

Author: L. Eriksson
Publisher: Umetrics Academy
ISBN: 9197373052
Size: 73.73 MB
Format: PDF, ePub, Mobi
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Multi And Megavariate Data Analysis Basic Principles And Applications from the Author: L. Eriksson. To understand the world around us, as well as ourselves, we need to measure many things, many variables, many properties of the systems and processes we investigate. Hence, data collected in science, technology, and almost everywhere else are multivariate, a data table with multiple variables measured on multiple observations (cases, samples, items, process time points, experiments). This book describes a remarkably simple minimalistic and practical approach to the analysis of data tables (multivariate data). The approach is based on projection methods, which are PCA (principal components analysis), and PLS (projection to latent structures) and the book shows how this works in science and technology for a wide variety of applications. In particular, it is shown how the great information content in well collected multivariate data can be expressed in terms of simple but illuminating plots, facilitating the understanding and interpretation of the data. The projection approach applies to a variety of data-analytical objectives, i.e., (i) summarizing and visualizing a data set, (ii) multivariate classification and discriminant analysis, and (iii) finding quantitative relationships among the variables. This works with any shape of data table, with many or few variables (columns), many or few observations (rows), and complete or incomplete data tables (missing data). In particular, projections handle data matrices with more variables than observations very well, and the data can be noisy and highly collinear. Authors: The five authors are all connected to the Umetrics company (www.umetrics.com) which has developed and sold software for multivariate analysis since 1987, as well as supports customers with training and consultations. Umetrics' customers include most large and medium sized companies in the pharmaceutical, biopharm, chemical, and semiconductor sectors.

A Companion To Forensic Anthropology

Author: Dennis Dirkmaat
Publisher: John Wiley & Sons
ISBN: 1118255410
Size: 28.96 MB
Format: PDF, Kindle
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A Companion To Forensic Anthropology from the Author: Dennis Dirkmaat. A Companion to Forensic Anthropology presents the most comprehensive assessment of the philosophy, goals, and practice of forensic anthropology currently available, with chapters by renowned international scholars and experts. Highlights the latest advances in forensic anthropology research, as well as the most effective practices and techniques used by professional forensic anthropologists in the field Illustrates the development of skeletal biological profiles and offers important new evidence on statistical validation of these analytical methods. Evaluates the goals and methods of forensic archaeology, including the preservation of context at surface-scattered remains, buried bodies and fatal fire scenes, and recovery and identification issues related to large-scale mass disaster scenes and mass grave excavation.