Leseprobe
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The Practice of Data Analysis
Stephan Morgenthaler (Hrsg.), David R. Brillinger (Hrsg.), Luisa T. Fernholz (Hrsg.)
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Naturwissenschaften, Medizin, Informatik, Technik / Mathematik
Beschreibung
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 Tukey's former students, use his general theoretical work and his specific contributions to Exploratory Data Analysis as the point of departure for their papers. They cover topics from "pure" data analysis, such as gaussianizing transformations and regression estimates, and from "applied" subjects, such as the best way to rank the abilities of chess players or to estimate the abundance of birds in a particular area.
Tukey may be best known for coining the common computer term "bit," for binary digit, but his broader work has revolutionized the way statisticians think about and analyze sets of data. In a personal interview that opens the book, he reviews these extraordinary contributions and his life with characteristic modesty, humor, and intelligence. The book will be valuable both to researchers and students interested in current theoretical and practical data analysis and as a testament to Tukey's lasting influence.
The essays are by Dhammika Amaratunga, David Andrews, David Brillinger, Christopher Field, Leo Goodman, Frank Hampel, John Hartigan, Peter Huber, Mia Hubert, Clifford Hurvich, Karen Kafadar, Colin Mallows, Stephan Morgenthaler, Frederick Mosteller, Ha Nguyen, Elvezio Ronchetti, Peter Rousseeuw, Allan Seheult, Paul Velleman, Maria-Pia Victoria-Feser, and Alessandro Villa.
Originally published in 1998.
The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
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Data, Likelihood function, Chi-squared test, Factor analysis, Contingency table, Symbolic computation, Correction for attenuation, Mathematical statistics, Mathematics, Statistician, System analysis, Estimation theory, Regression analysis, Factorial experiment, Statistics, Control theory, Calculation, Summation, Correlation and dependence, Confidence interval, Likelihood-ratio test, Minimum-variance unbiased estimator, Projection method (fluid dynamics), Gaussian (software), Result, Bayesian inference, Prediction, Class size, Parameter, Estimation, Logistic function, Computation, M-estimator, Analysis of algorithms, Circulant matrix, Discriminant function analysis, Bias of an estimator, Effect size, Sampling distribution, Main effect, Algorithm, Variable (mathematics), Mathematical optimization, Order statistic, Robust statistics, Interaction (statistics), Meta-analysis, Data analysis, Data set, Sampling (statistics), Theil index, Variance, Information theory, Analysis of covariance, Equation, Cross-validation (statistics), Multivariate analysis, Correspondence analysis, Principal component analysis, Threshold model, Kalman filter, Exploratory data analysis, Probability, Estimator, Inference, Ranking (information retrieval), Weighted arithmetic mean, Model selection, Observational study, Statistic