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Multivariate Humanities, Kroonenberg Pieter M.


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Цена: 12577.00р.
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Автор: Kroonenberg Pieter M.
Название:  Multivariate Humanities
ISBN: 9783030691493
Издательство: Springer
Классификация:




ISBN-10: 3030691497
Обложка/Формат: Hardcover
Страницы: 435
Вес: 0.82 кг.
Дата издания: 31.07.2021
Серия: Quantitative methods in the humanities and social sciences
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 115 illustrations, color; 21 illustrations, black and white; xix, 427 p. 136 illus., 115 illus. in color.
Размер: 23.50 x 15.49 x 2.54 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Murder seems to follow young Tommy McBride everywhere. Only five years after the death of his family, a freak accident on a sheep station sends him fleeing into the wilderness of the Australian outback, the station overseer lying dead behind him with his head smashed on a rock. But Tommy is haunted by more than the death of his family - both he and his brother Billy witnessed a vicious state-sanctioned massacre of the Kurrong people, and they havent seen each other since.When an official inquiry is launched into the slaughter, the successful life that Billy has built for himself is under threat. He desperately needs to find his brother, long


Multivariate humanities

Автор: Kroonenberg, Pieter M.
Название: Multivariate humanities
ISBN: 3030691527 ISBN-13(EAN): 9783030691523
Издательство: Springer
Рейтинг:
Цена: 12577.00 р.
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Описание: This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of datasets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields featured include, but are not limited to, historical agriculture, arts (music and painting), theology, and stylometrics (authorship issues). Most analyses are based on existing data, earlier analysed in published peer-reviewed papers. Four preliminary methodological and statistical chapters provide general technical background to the case studies. The multivariate statistical methods presented and illustrated include data inspection, several varieties of principal component analysis, correspondence analysis, multidimensional scaling, cluster analysis, regression analysis, discriminant analysis, and three-mode analysis. The bulk of the text is taken up by 14 case studies that lean heavily on graphical representations of statistical information such as biplots, using descriptive statistical techniques to support substantive conclusions. Each study features a description of the substantive background to the data, followed by discussion of appropriate multivariate techniques, and detailed results interpreted through graphical illustrations. Each study is concluded with a conceptual summary. Datasets in SPSS are included online.

Matrix-Based Introduction to Multivariate Data Analysis

Автор: Adachi Kohei
Название: Matrix-Based Introduction to Multivariate Data Analysis
ISBN: 9811541027 ISBN-13(EAN): 9789811541025
Издательство: Springer
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Цена: 15372.00 р.
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Описание:

Elementary matrix operations.- Intravariable statistics.- Inter-variable statistics.- Regression analysis.- Principal component analysis.- Principal component.


Categorical and Nonparametric Data Analysis

Автор: Nussbaum E Michael
Название: Categorical and Nonparametric Data Analysis
ISBN: 1138787825 ISBN-13(EAN): 9781138787827
Издательство: Taylor&Francis
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Цена: 12248.00 р.
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Описание: Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, the book's clear explanations of the underlying assumptions, computer simulations, and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of the techniques. The underlying assumptions of each test and the factors that impact validity and statistical power are reviewed so readers can explain their assumptions and how tests work in future publications. Numerous examples from psychology, education, and other social sciences demonstrate varied applications of the material. Basic statistics and probability are reviewed for those who need a refresher. Mathematical derivations are placed in optional appendices for those interested in this detailed coverage. Highlights include the following: Unique coverage of categorical and nonparametric statistics better prepares readers to select the best technique for their particular research project; however, some chapters can be omitted entirely if preferred. Step-by-step examples of each test help readers see how the material is applied in a variety of disciplines.  Although the book can be used with any program, examples of how to use the tests in SPSS and Excel foster conceptual understanding. Exploring the Concept boxes integrated throughout prompt students to review key material and draw links between the concepts to deepen understanding.  Problems in each chapter help readers test their understanding of the material.  Emphasis on selecting tests that maximize power helps readers avoid "marginally" significant results.  Website (www.routledge.com/9781138787827) features datasets for the book's examples and problems, and for the instructor, PowerPoint slides, sample syllabi, answers to the even-numbered problems, and Excel data sets for lecture purposes. Intended for individual or combined graduate or advanced undergraduate courses in categorical and nonparametric data analysis, cross-classified data analysis, advanced statistics and/or quantitative techniques taught in psychology, education, human development, sociology, political science, and other social and life sciences, the book also appeals to researchers in these disciplines. The nonparametric chapters can be deleted if preferred. Prerequisites include knowledge of t tests and ANOVA.

Multivariate Applications in Substance Use Research

Автор: Rose, Jennifer S.
Название: Multivariate Applications in Substance Use Research
ISBN: 0805829423 ISBN-13(EAN): 9780805829426
Издательство: Taylor&Francis
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Цена: 19906.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Multivariate Statistical Methods

Автор: Marcoulides, George A.
Название: Multivariate Statistical Methods
ISBN: 0805825711 ISBN-13(EAN): 9780805825718
Издательство: Taylor&Francis
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Цена: 13779.00 р.
Наличие на складе: Поставка под заказ.

Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique

Автор: Nussbaum E. Michael
Название: Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique
ISBN: 1848726031 ISBN-13(EAN): 9781848726031
Издательство: Taylor&Francis
Рейтинг:
Цена: 27562.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, the book's clear explanations of the underlying assumptions, computer simulations, and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of the techniques. The underlying assumptions of each test and the factors that impact validity and statistical power are reviewed so readers can explain their assumptions and how tests work in future publications. Numerous examples from psychology, education, and other social sciences demonstrate varied applications of the material. Basic statistics and probability are reviewed for those who need a refresher. Mathematical derivations are placed in optional appendices for those interested in this detailed coverage.

Highlights include the following:

  • Unique coverage of categorical and nonparametric statistics better prepares readers to select the best technique for their particular research project; however, some chapters can be omitted entirely if preferred.
  • Step-by-step examples of each test help readers see how the material is applied in a variety of disciplines.
  • Although the book can be used with any program, examples of how to use the tests in SPSS and Excel foster conceptual understanding.
  • Exploring the Concept boxes integrated throughout prompt students to review key material and draw links between the concepts to deepen understanding.
  • Problems in each chapter help readers test their understanding of the material.
  • Emphasis on selecting tests that maximize power helps readers avoid "marginally" significant results.
  • Website (www.routledge.com/9781138787827) features datasets for the book's examples and problems, and for the instructor, PowerPoint slides, sample syllabi, answers to the even-numbered problems, and Excel data sets for lecture purposes.

Intended for individual or combined graduate or advanced undergraduate courses in categorical and nonparametric data analysis, cross-classified data analysis, advanced statistics and/or quantitative techniques taught in psychology, education, human development, sociology, political science, and other social and life sciences, the book also appeals to researchers in these disciplines. The nonparametric chapters can be deleted if preferred. Prerequisites include knowledge of t tests and ANOVA.

Applied Multivariate Statistics for the Social Sciences

Автор: Pituch Keenan A
Название: Applied Multivariate Statistics for the Social Sciences
ISBN: 0415836662 ISBN-13(EAN): 9780415836661
Издательство: Taylor&Francis
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Цена: 17609.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Noted for its breadth and depth of coverage of multivariate statistics and its emphasis on power, this classic text focuses on a conceptual understanding of the material rather than on proving results. Numerous examples, along with use of SAS and SPSS, indicate what the numbers mean and how to interpret the results.

Applied Multivariate Analysis

Автор: Ira H. Bernstein; Calvin P. Garbin; Gary K. Teng
Название: Applied Multivariate Analysis
ISBN: 1461387426 ISBN-13(EAN): 9781461387428
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Like most academic authors, my views are a joint product of my teaching and my research. Needless to say, my views reflect the biases that I have acquired. One way to articulate the rationale (and limitations) of my biases is through the preface of a truly great text of a previous era, Cooley and Lohnes (1971, p. v). They draw a distinction between mathematical statisticians whose intel- lect gave birth to the field of multivariate analysis, such as Hotelling, Bartlett, and Wilks, and those who chose to "concentrate much of their attention on methods of analyzing data in the sciences and of interpreting the results of statistical analysis . . . . (and) . . . who are more interested in the sciences than in mathematics, among other characteristics. " I find the distinction between individuals who are temperamentally "mathe- maticians" (whom philosophy students might call "Platonists") and "scientists" ("Aristotelians") useful as long as it is not pushed to the point where one assumes "mathematicians" completely disdain data and "scientists" are never interested in contributing to the mathematical foundations of their discipline. I certainly feel more comfortable attempting to contribute in the "scientist" rather than the "mathematician" role. As a consequence, this book is primarily written for individuals concerned with data analysis. However, as noted in Chapter 1, true expertise demands familiarity with both traditions.

Multivariate Statistical Methods

Автор: Marcoulides, George A.
Название: Multivariate Statistical Methods
ISBN: 080582572X ISBN-13(EAN): 9780805825725
Издательство: Taylor&Francis
Рейтинг:
Цена: 5664.00 р.
Наличие на складе: Поставка под заказ.

Multivariate and Mixture Distribution Rasch Models

Автор: Matthias von Davier; Claus H. Carstensen
Название: Multivariate and Mixture Distribution Rasch Models
ISBN: 1441921966 ISBN-13(EAN): 9781441921963
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book examines extensions of the Rasch model, one of the most researched and applied models in educational research and social science. They cover topics ranging from general model extensions to applications in fields as diverse as cognition, personality, organizational and sports psychology, and health sciences and education.

Multivariate Analysis with Lisrel

Автор: Jцreskog Karl G., Olsson Ulf H., Y. Wallentin Fan
Название: Multivariate Analysis with Lisrel
ISBN: 3319814400 ISBN-13(EAN): 9783319814407
Издательство: Springer
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Цена: 19564.00 р.
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Описание: It presents not only the typical uses of LISREL, such as confirmatory factor analysis and structural equation models, but also several other multivariate analysis topics, including regression (univariate, multivariate, censored, logistic, and probit), generalized linear models, multilevel analysis, and principal component analysis.

Applied Statistics and Multivariate Data Analysis

Автор: Thomas Cleff
Название: Applied Statistics and Multivariate Data Analysis
ISBN: 3030177661 ISBN-13(EAN): 9783030177669
Издательство: Springer
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Цена: 9083.00 р.
Наличие на складе: Поставка под заказ.

Описание: This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis.


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