Regress

Author : David Joselit
Publisher : MIT Press
Page : 276 pages
File Size : 50,6 Mb
Release : 2001-02-23
Category : Design
ISBN : 0262600382

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Infinite Regress by David Joselit Pdf

In Infinite Regress, David Joselit considers the plurality of identities and practices within Duchamp's life and art between 1910 and 1941, conducting a synthetic reading of his early and middle career. There is not one Marcel Duchamp, but several. Within his oeuvre Duchamp practiced a variety of modernist idioms and invented an array of contradictory personas: artist and art dealer, conceptualist and craftsman, chess champion and dreamer, dandy and recluse. In Infinite Regress, David Joselit considers the plurality of identities and practices within Duchamp's life and art between 1910 and 1941, conducting a synthetic reading of his early and middle career. Taking into account underacknowledged works and focusing on the conjunction of the machine and the commodity in Duchamp's art, Joselit notes a consistent opposition between the material world and various forms of measurement, inscription, and quantification. Challenging conventional accounts, he describes the readymade strategy not merely as a rejection of painting, but as a means of producing new models of the modern self.

Author : Keith McNulty
Publisher : CRC Press
Page : 272 pages
File Size : 47,9 Mb
Release : 2021-07-29
Category : Business & Economics
ISBN : 9781000427899

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Handbook of Regression Modeling in People Analytics by Keith McNulty Pdf

Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners still involve explaining why something is happening. Regression analysis is the best ‘swiss army knife’ we have for answering these kinds of questions. This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling. Although it is primarily focused on examples related to the analysis of people and talent, the methods easily transfer to any discipline. The book hits a ‘sweet spot’ where there is just enough mathematical theory to support a strong understanding of the methods, but with a step-by-step guide and easily reproducible examples and code, so that the methods can be put into practice immediately. This makes the book accessible to a wide readership, from public and private sector analysts and practitioners to students and researchers. Key Features: • 16 accompanying datasets across a wide range of contexts (e.g. academic, corporate, sports, marketing) • Clear step-by-step instructions on executing the analyses. • Clear guidance on how to interpret results. • Primary instruction in R but added sections for Python coders. • Discussion exercises and data exercises for each of the main chapters. • Final chapter of practice material and datasets ideal for class homework or project work.

Author : Eamon Ore-Giron,Edgar Garcia
Publisher : Unknown
Page : 128 pages
File Size : 45,8 Mb
Release : 2020
Category : Electronic
ISBN : 3964360244

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Infinite Regress by Eamon Ore-Giron,Edgar Garcia Pdf

Author : Claude Gratton
Publisher : Springer Science & Business Media
Page : 219 pages
File Size : 47,9 Mb
Release : 2009-12-15
Category : Philosophy
ISBN : 9789048133413

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Infinite Regress Arguments by Claude Gratton Pdf

Infinite regress arguments are part of a philosopher's tool kit of argumentation. But how sharp or strong is this tool? How effectively is it used? The typical presentation of infinite regress arguments throughout history is so succinct and has so many gaps that it is often unclear how an infinite regress is derived, and why an infinite regress is logically problematic, and as a result, it is often difficult to evaluate infinite regress arguments. These consequences of our customary way of using this tool indicate that there is a need for a theory to re-orient our practice. My general approach to contribute to such a theory, consists of collecting and evaluating as many infinite regress arguments as possible, comparing and contrasting many of the formal and non-formal properties, looking for recurring patterns, and identifying the properties that appeared essential to those patterns. Two very general questions guided this work: (1) How are infinite regresses generated in infinite regress arguments? (2) How do infinite regresses logically function as premises in an argument? In answering these questions I clarify the notion of an infinite regress; identify different logical forms of infinite regresses; describe different kinds of infinite regress arguments; distinguish the rhetoric from the logic in infinite regress arguments; and suggest ways of improving our discussion and our practice of constructing and evaluating these arguments.

Author : Andrew Gelman,Jennifer Hill
Publisher : Cambridge University Press
Page : 654 pages
File Size : 44,9 Mb
Release : 2007
Category : Mathematics
ISBN : 052168689X

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Data Analysis Using Regression and Multilevel/Hierarchical Models by Andrew Gelman,Jennifer Hill Pdf

This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.

Author : Frank E. Harrell
Publisher : Springer Science & Business Media
Page : 583 pages
File Size : 49,8 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9781475734621

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Regression Modeling Strategies by Frank E. Harrell Pdf

Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".

Author : Nicholas Rescher
Publisher : Routledge
Page : 189 pages
File Size : 54,7 Mb
Release : 2017-09-08
Category : Philosophy
ISBN : 9781351512596

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Infinite Regress by Nicholas Rescher Pdf

Regression addresses what has come before; it is a matter of looking backward of retrospections? The motionless things of nature are generally forward-looking their problem is that of the question: Where do we go from here? It is primarily with intelligent beings that we ask: How did we get to where we now find ourselves? Regression and infinite regression in particular is thus a concept that has gained a greater prominence in the human sciences than in the sciences of nature. Argumentation to infinite regress has long been a favored instrument of philosophical dialectic. Philosophers have used it to disprove the positions they model to criticize. Infinite regresses, so they reason, are unrealizable: they cannot be completed so as to achieve some definitive result. And thereby anything that would engender an infinite regress is automatically made ineffective. Infinite Regress examines the theory of regression and includes information on the topics of vicious regress, innocuous regress, circularity regress, and propositional regress. Also discussed is the history of regression stemming from ancient times, to medieval times, to early modern history. Some of the other chapters in this book focus on world class philosophers including Immanuel Kant, Georg Wilhelm Friedrich Hegel, and Bertrand Russell. The book will play a significant role in theoretical philosophy as well as in social philosophy and the philosophy of mind.

Author : Henning Best,Christof Wolf
Publisher : SAGE
Page : 577 pages
File Size : 45,5 Mb
Release : 2013-12-20
Category : Social Science
ISBN : 9781473914384

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The SAGE Handbook of Regression Analysis and Causal Inference by Henning Best,Christof Wolf Pdf

′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.

Author : Leona S. Aiken,Stephen G. West,Raymond R. Reno
Publisher : SAGE
Page : 228 pages
File Size : 42,8 Mb
Release : 1991
Category : Business & Economics
ISBN : 0761907122

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Multiple Regression by Leona S. Aiken,Stephen G. West,Raymond R. Reno Pdf

This successful book, now available in paperback, provides academics and researchers with a clear set of prescriptions for estimating, testing and probing interactions in regression models. Including the latest research in the area, such as Fuller's work on the corrected/constrained estimator, the book is appropriate for anyone who uses multiple regression to estimate models, or for those enrolled in courses on multivariate statistics.

Author : Paul Roback,Julie Legler
Publisher : CRC Press
Page : 436 pages
File Size : 53,6 Mb
Release : 2021-01-14
Category : Mathematics
ISBN : 9781439885406

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Beyond Multiple Linear Regression by Paul Roback,Julie Legler Pdf

Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R is designed for undergraduate students who have successfully completed a multiple linear regression course, helping them develop an expanded modeling toolkit that includes non-normal responses and correlated structure. Even though there is no mathematical prerequisite, the authors still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. The case studies and exercises feature real data and real research questions; thus, most of the data in the textbook comes from collaborative research conducted by the authors and their students, or from student projects. Every chapter features a variety of conceptual exercises, guided exercises, and open-ended exercises using real data. After working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling. A solutions manual for all exercises is available to qualified instructors at the book’s website at www.routledge.com, and data sets and Rmd files for all case studies and exercises are available at the authors’ GitHub repo (https://github.com/proback/BeyondMLR)

Author : Heinrich Geiselberger
Publisher : John Wiley & Sons
Page : 220 pages
File Size : 46,9 Mb
Release : 2017-05-11
Category : Political Science
ISBN : 9781509522392

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The Great Regression by Heinrich Geiselberger Pdf

We are living through a period of dramatic political change – Brexit, the election of Trump, the rise of extreme right movements in Europe and elsewhere, the resurgence of nationalism and xenophobia and a concerted assault on the liberal values and ideals associated with cosmopolitanism and globalization. Suddenly we find ourselves in a world that few would have imagined possible just a few years ago, a world that seems to many to be a move backwards. How can we make sense of these dramatic developments and how should we respond to them? Are we witnessing a worldwide rejection of liberal democracy and its replacement by some kind of populist authoritarianism? This timely volume brings together some of the world's greatest minds to analyse and seek to understand the forces behind this 'great regression'. Writers from across disciplines and countries, including Paul Mason, Pankaj Mishra, Slavoj Zizek, Zygmunt Bauman, Arjun Appadurai, Wolfgang Streeck and Eva Illouz, grapple with our current predicament, framing it in a broader historical context, discussing possible future trajectories and considering ways that we might combat this reactionary turn. The Great Regression is a key intervention that will be of great value to all those concerned about recent developments and wondering how best to respond to this unprecedented challenge to the very core of liberal democracy and internationalism across the world today. For more information, see: www.thegreatregression.eu

Author : Norman R. Draper,Harry Smith
Publisher : John Wiley & Sons
Page : 736 pages
File Size : 48,9 Mb
Release : 2014-08-25
Category : Mathematics
ISBN : 9781118625682

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Applied Regression Analysis by Norman R. Draper,Harry Smith Pdf

An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, using small and large data sets, with pocket calculators or computers. This Third Edition features separate chapters on multicollinearity, generalized linear models, mixture ingredients, geometry of regression, robust regression, and resampling procedures. Extensive support materials include sets of carefully designed exercises with full or partial solutions and a series of true/false questions with answers. All data sets used in both the text and the exercises can be found on the companion disk at the back of the book. For analysts, researchers, and students in university, industrial, and government courses on regression, this text is an excellent introduction to the subject and an efficient means of learning how to use a valuable analytical tool. It will also prove an invaluable reference resource for applied scientists and statisticians.

Author : John Fox,Sanford Weisberg
Publisher : SAGE Publications
Page : 505 pages
File Size : 45,7 Mb
Release : 2018-09-27
Category : Social Science
ISBN : 9781544336459

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An R Companion to Applied Regression by John Fox,Sanford Weisberg Pdf

An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox and Sanford Weisberg provide a step-by-step guide to using the free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, and substantial web-based support materials. The Third Edition has been reorganized and includes a new chapter on mixed-effects models, new and updated data sets, and a de-emphasis on statistical programming, while retaining a general introduction to basic R programming. The authors have substantially updated both the car and effects packages for R for this edition, introducing additional capabilities and making the software more consistent and easier to use. They also advocate an everyday data-analysis workflow that encourages reproducible research. To this end, they provide coverage of RStudio, an interactive development environment for R that allows readers to organize and document their work in a simple and intuitive fashion, and then easily share their results with others. Also included is coverage of R Markdown, showing how to create documents that mix R commands with explanatory text. "An R Companion to Applied Regression continues to provide the most comprehensive and user-friendly guide to estimating, interpreting, and presenting results from regression models in R." –Christopher Hare, University of California, Davis

Author : Simon Sheather
Publisher : Springer Science & Business Media
Page : 398 pages
File Size : 46,5 Mb
Release : 2009-02-27
Category : Mathematics
ISBN : 9780387096087

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A Modern Approach to Regression with R by Simon Sheather Pdf

This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression models and assessing their validity. We shall see that deciding what to plot and how each plot should be interpreted will be a major challenge. In order to overcome this challenge we shall need to understand the mathematical properties of the fitted regression models and associated diagnostic procedures. As such this will be an area of focus throughout the book. In particular, we shall carefully study the properties of resi- als in order to understand when patterns in residual plots provide direct information about model misspecification and when they do not. The regression output and plots that appear throughout the book have been gen- ated using R. The output from R that appears in this book has been edited in minor ways. On the book web site you will find the R code used in each example in the text.

Author : Timothy Z. Keith
Publisher : Routledge
Page : 862 pages
File Size : 46,6 Mb
Release : 2019-01-14
Category : Education
ISBN : 9781351667920

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Multiple Regression and Beyond by Timothy Z. Keith Pdf

Companion Website materials: https://tzkeith.com/ Multiple Regression and Beyond offers a conceptually-oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book introduces material to students more clearly, and in a less threatening way. In addition to illuminating content necessary for coursework, the accessibility of this approach means students are more likely to be able to conduct research using MR or SEM--and more likely to use the methods wisely. This book: • Covers both MR and SEM, while explaining their relevance to one another • Includes path analysis, confirmatory factor analysis, and latent growth modeling • Makes extensive use of real-world research examples in the chapters and in the end-of-chapter exercises • Extensive use of figures and tables providing examples and illustrating key concepts and techniques New to this edition: • New chapter on mediation, moderation, and common cause • New chapter on the analysis of interactions with latent variables and multilevel SEM • Expanded coverage of advanced SEM techniques in chapters 18 through 22 • International case studies and examples • Updated instructor and student online resources