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Author: David Joselit
Publisher: MIT Press
ISBN: 9780262600385
Category : Design
Languages : en
Pages : 276
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Book Description
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: David Joselit
Publisher: MIT Press
ISBN: 9780262600385
Category : Design
Languages : en
Pages : 276
Get Book Here
Book Description
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
ISBN: 1000427897
Category : Business & Economics
Languages : en
Pages : 272
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Book Description
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
Publisher:
ISBN: 9783964360243
Category :
Languages : en
Pages :
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Book Description
Author: Frank E. Harrell
Publisher: Springer Science & Business Media
ISBN: 147573462X
Category : Mathematics
Languages : en
Pages : 583
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Book Description
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: Heinrich Geiselberger
Publisher: John Wiley & Sons
ISBN: 1509522395
Category : Political Science
Languages : en
Pages : 220
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Book Description
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: Andrew Gelman
Publisher: Cambridge University Press
ISBN: 110702398X
Category : Business & Economics
Languages : en
Pages : 551
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Book Description
A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.
Author: Eric Vittinghoff
Publisher: Springer Science & Business Media
ISBN: 1461413524
Category : Education
Languages : en
Pages : 526
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Book Description
This fresh edition, substantially revised and augmented, provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics. The examples used, analyzed using Stata, can be applied to other areas.
Author: Richard B. Darlington
Publisher: Guilford Publications
ISBN: 1462527981
Category : Social Science
Languages : en
Pages : 689
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Book Description
Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book's examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable’s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.
Author: David Ruppert
Publisher: Cambridge University Press
ISBN: 9780521785167
Category : Mathematics
Languages : en
Pages : 410
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Book Description
Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. The authors make liberal use of graphics and examples plus case studies taken from environmental, financial, and other applications. They include practical advice on implementation and pointers to relevant software. The 2003 book is suitable as a textbook for students with little background in regression as well as a reference book for statistically oriented scientists such as biostatisticians, econometricians, quantitative social scientists, epidemiologists, with a good working knowledge of regression and the desire to begin using more flexible semiparametric models. Even experts on semiparametric regression should find something new here.
Author: Larry D. Schroeder
Publisher: SAGE
ISBN: 9780803927582
Category : Mathematics
Languages : en
Pages : 100
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Book Description
Providing beginners with a background to the frequently-used technique of linear regression, this text provides a heuristic explanation of the procedures and terms used in regression analysis and has been written at the most elementary level.
