The Practice of Data Analysis: Essays in Honor of John W. Tukey, Brillinger David R., Fernholz Luisa T., Morgenthaler Stephan

Автор: Gelman
Название: Bayesian Data Analysis, Third Edition
ISBN: 1439840954 ISBN-13(EAN): 9781439840955
Издательство: Taylor&Francis
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Описание: Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Автор: Greenacre, Michael (universitat Pompeu Fabra, Barcelona, Spain)
Название: Compositional data analysis in practice
ISBN: 113831661X ISBN-13(EAN): 9781138316614
Издательство: Taylor&Francis
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Описание: This concise book presents a very applied introduction to compositional data analysis, focussing on the use of R for analysis. It includes lots of real examples, code snippets, and colour figures, to illustrate the methods.

Автор: Brillinger David R., Fernholz Luisa T., Morgenthal
Название: The Practice of Data Analysis: Essays in Honor of John W. Tukey
ISBN: 0691601593 ISBN-13(EAN): 9780691601595
Издательство: Wiley
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Цена: 68640.00 T
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Описание: This collection of essays brings together many of the world`s most distinguished statisticians to discuss a wide array of the most important recent developments in data analysis. The book honors John W. Tukey, one of the most influential statisticians of the twentieth century, on the occasion of his eightieth birthday. Contributors, some of them Tu

Автор: John Wilder Brillinger
Название: The Collected Works of John W. Tukey: Time Series 1965-1984 - Volume II
ISBN: 1315898039 ISBN-13(EAN): 9781315898032
Издательство: Taylor&Francis
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Цена: 255200.00 T
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Описание: To Cohn Tukey we can pay the highest tribute possible to a statistician: he has profoundly affected the way we analyze data. The Collected Works demonstrate this. The breadth and impact of his writings are stunning. Whole areas of statistics have their foundations laid and others are inspired ? spectrum estimation, multiple comparisons, quick and dirty methods, exploratory data analysis, graphics, robust methods, and Monte Carlo. No area of statistics escapes treatment. The list of applications to science and technology goes on and on; seismology, education, band spectroscopy, halothane, federal statistics, indexing, astrophysics, the Kinsey report, pollution, molecular physics, and halocarbons are a small part of the list. Raw brilliance is everywhere -- the fast Fourier transform, stem-and-leaf diagrams, coining the word "bit", one degree of freedom for no additivity, components of variance, the jackknife, Tukey's Lemma, binomial probability paper, 3RSRH, and so on. The Collected Works are meant to be more than a collection for the record or for future historians to sort out scientific movements. They can be used right now by researchers, by data analysts, and by students. To help readers, The Collected Works have been divided into subjects with an editor for each. The editors have selected just enough papers to convey the philosophies and methodologies of Tukey and have provided comments to guide readers through the writings. Many of John Tukey's writings, including some of his most influential work, have never appeared before in published form. These volumes give the scientific and technological community easy access to this important material.A testimony to the high regard that so many have for Cohn Tukey was the willingness and enthusiasm with which people accepted the invitation to help assemble The Collected Works. Not a single person declined, and the creation of these volumes has been the effort of a team.

Автор: Andreas Buja; Paul A. Tukey
Название: Computing and Graphics in Statistics
ISBN: 1461391563 ISBN-13(EAN): 9781461391562
Издательство: Springer
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Цена: 111790.00 T
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Описание: This IMA Volume in Mathematics and its Applications COMPUTING AND GRAPHICS IN STATISTICS is based on the proceedings of the last two weeks of the six week IMA 1989 summer program "Robustness, Diagnostics, Computing and Graphics in Statistics".

Автор: Cleveland, William S.
Название: The Collected Works of John W. Tukey
ISBN: 0367451328 ISBN-13(EAN): 9780367451325
Издательство: Taylor&Francis
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Цена: 56130.00 T
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Описание: This book includes a collection of John W. Tukey's papers that demonstrate a number of numerical methods and graphical methods, such as box plots, stem-and-leaf diagrams, and point cloud rotation, for graphics and exploratory data analysis.

Автор: Little
Название: Statistical Analysis with Missing Data, Third Edit ion
ISBN: 0470526793 ISBN-13(EAN): 9780470526798
Издательство: Wiley
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Цена: 84430.00 T
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Описание: Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values.

Автор: Michael C. Whitlock, Dolph Schluter
Название: The Analysis of Biological Data
ISBN: 1319325343 ISBN-13(EAN): 9781319325343
Издательство: Macmillan Learning
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Цена: 92390.00 T
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Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.

Автор: Das Panchanan
Название: Econometrics in Theory and Practice: Analysis of Cross Section, Time Series and Panel Data with Stata 15.1
ISBN: 9813290188 ISBN-13(EAN): 9789813290181
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software.The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.

Автор: Gregory R. Hancock, Jeffrey R. Harring, George B. Macready
Название: Advances in Latent Class Analysis: A Festschrift in Honor of C. Mitchell Dayton
ISBN: 1641135611 ISBN-13(EAN): 9781641135610
Издательство: Mare Nostrum (Eurospan)
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Цена: 50820.00 T
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Описание: What is latent class analysis? If you asked that question thirty or forty years ago you would have gotten a different answer than you would today. Closer to its time of inception, latent class analysis was viewed primarily as a categorical data analysis technique, often framed as a factor analysis model where both the measured variable indicators and underlying latent variables are categorical. Today, however, it rests within much broader mixture and diagnostic modeling framework, integrating measured and latent variables that may be categorical and/or continuous, and where latent classes serve to define the subpopulations for whom many aspects of the focal measured and latent variable model may differ. For latent class analysis to take these developmental leaps required contributions that were methodological, certainly, as well as didactic. Among the leaders on both fronts was C. Mitchell “Chan” Dayton, at the University of Maryland, whose work in latent class analysis spanning several decades helped the method to expand and reach its current potential. The current volume in the Center for Integrated Latent Variable Research (CILVR) series reflects the diversity that is latent class analysis today, celebrating work related to, made possible by, and inspired by Chan’s noted contributions, and signaling the even more exciting future yet to come.

Автор: Gregory R. Hancock, Jeffrey R. Harring, George B. Macready
Название: Advances in Latent Class Analysis: A Festschrift in Honor of C. Mitchell Dayton
ISBN: 164113562X ISBN-13(EAN): 9781641135627
Издательство: Mare Nostrum (Eurospan)
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Цена: 95170.00 T
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Описание: What is latent class analysis? If you asked that question thirty or forty years ago you would have gotten a different answer than you would today. Closer to its time of inception, latent class analysis was viewed primarily as a categorical data analysis technique, often framed as a factor analysis model where both the measured variable indicators and underlying latent variables are categorical. Today, however, it rests within much broader mixture and diagnostic modeling framework, integrating measured and latent variables that may be categorical and/or continuous, and where latent classes serve to define the subpopulations for whom many aspects of the focal measured and latent variable model may differ. For latent class analysis to take these developmental leaps required contributions that were methodological, certainly, as well as didactic. Among the leaders on both fronts was C. Mitchell “Chan” Dayton, at the University of Maryland, whose work in latent class analysis spanning several decades helped the method to expand and reach its current potential. The current volume in the Center for Integrated Latent Variable Research (CILVR) series reflects the diversity that is latent class analysis today, celebrating work related to, made possible by, and inspired by Chan’s noted contributions, and signaling the even more exciting future yet to come.

Автор: Hirotugu Akaike; Genshiro Kitagawa
Название: The Practice of Time Series Analysis
ISBN: 1461274397 ISBN-13(EAN): 9781461274391
Издательство: Springer
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Цена: 111790.00 T
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Описание: A collection of applied papers on time series, appearing here for the first time in English. The applications are primarily found in engineering and the physical sciences.