Statistical Graphics Visualizing Multivariate Data, Jacoby, William G.
Автор: Roland Rau; Christina Bohk-Ewald; Magdalena M. Mus Название: Visualizing Mortality Dynamics in the Lexis Diagram ISBN: 3319648187 ISBN-13(EAN): 9783319648187 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book visualizes mortality dynamics in the Lexis diagram. Besides maps for single countries, the book includes maps on the dynamics of selected causes of death in the United States, such as cardiovascular diseases or lung cancer.
Название: Categorical and Nonparametric Data Analysis ISBN: 0367702541 ISBN-13(EAN): 9780367702540 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Название: Categorical and Nonparametric Data Analysis ISBN: 0367698153 ISBN-13(EAN): 9780367698157 Издательство: Taylor&Francis Рейтинг: Цена: 11636.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Moustaki, Irini Steele, Fiona Chen, Yunxiao Bartholomew, David Название: Analysis of multivariate social science data ISBN: 1032763728 ISBN-13(EAN): 9781032763729 Издательство: Taylor&Francis Рейтинг: Цена: 7961.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Kahane, Leo H. Название: Regression Basics ISBN: 1032392479 ISBN-13(EAN): 9781032392479 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Using an accessible, nontechnical approach, the third edition of Regression Basics introduces readers to the fundamentals of statistical regression. Accessible to anyone with an introductory statistics background, the book draws on engaging examples using real-world data and software programs SPSS®, Stata®, and R to illustrate the key concepts of the least squares regression methodology.The book emphasizes the intuition of regression methodology and provides a hands-on approach, as well as helpful end-of-chapter summaries and questions to consolidate learning. This new edition has been substantially revised and enhanced, with features including the following:Fully updated to show procedures in R, SPSS®, and Stata®Color images and substantially revised visual presentationA suite of online resources including data sets, software instructions, and PowerPoint slides for instructorsNew and updated examples throughoutExpanded material to help students overcome "math anxiety"Expanded material on multicollinearity, heteroskedasticity, and robust standard errorsThis well-paced book is ideal for advanced undergraduate and graduate students focusing on quantitative methods, research design, and statistical regression in the social and behavioral sciences, political science, and economics.
In the past fifty years statisticians and methodologists in the social sciences have developed and refined a family of closely related statistical methods for the study of social phenomena. While the value of such methods of analysis is universally acknowledged, their use has never been wholly uncontroversial. In 1993 prominent scholars from a variety of disciplines (social sciences, statistics, philosophy of science) gathered at the University of Notre Dame to debate whether causal modeling techniques old or new can really justify the drawing of causal conclusions on the basis of correlational statistical data. The resulting volume from that groundbreaking conference is Causality in Crisis? a comprehensive and sophisticated introduction to perhaps the most important set of issues confronting social scientific researchers in the 1990s and beyond.
In the essays presented here contributors critically reassess the widely accepted view that statistical methods of analysis can and do yield causal understanding of social phenomena. Although a number of technical issues receive attention, the overall emphasis is on the larger historical, philosophical, and conceptual perspectives that underlie and inform current methodological controversies.
The debates in Causality in Crisis? have far-ranging implications, for on their resolution hinges the question of what sort of knowledge of social life it is possible to achieve on the basis of non-experimental social scientific research. Any scholar who makes use of causal methods, as well as all who are affected by decisions reached on the basis of such methods, will have a stake in the challenging arguments put forth in this volume.
Автор: Marcoulides, George A. Название: Multivariate Statistical Methods ISBN: 080582572X ISBN-13(EAN): 9780805825725 Издательство: Taylor&Francis Рейтинг: Цена: 5970.00 р. Наличие на складе: Нет в наличии.
Автор: Marcoulides, George A. Название: Multivariate Statistical Methods ISBN: 0805825711 ISBN-13(EAN): 9780805825718 Издательство: Taylor&Francis Рейтинг: Цена: 14545.00 р. Наличие на складе: Нет в наличии.
Автор: Thomas Cleff Название: Applied Statistics and Multivariate Data Analysis ISBN: 3030177661 ISBN-13(EAN): 9783030177669 Издательство: Springer Рейтинг: Цена: 7927.00 р. Наличие на складе: Нет в наличии.
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.
Автор: Adachi Kohei Название: Matrix-Based Introduction to Multivariate Data Analysis ISBN: 9811541027 ISBN-13(EAN): 9789811541025 Издательство: Springer Рейтинг: Цена: 13415.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Elementary matrix operations.- Intravariable statistics.- Inter-variable statistics.- Regression analysis.- Principal component analysis.- Principal component.
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