Practice of Data Analysis
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€212.04
Age Group_Uncategorized
Age Group_Uncategorized
Algorithm
Analysis of algorithms
Analysis of covariance
automatic-update
B01=David R. Brillinger
B01=Luisa T. Fernholz
B01=Stephan Morgenthaler
Bayesian inference
Bias of an estimator
Calculation
Category1=Non-Fiction
Category=PBT
Chi-squared test
Circulant matrix
Class size
Computation
Confidence interval
Contingency table
Control theory
COP=United States
Correction for attenuation
Correlation and dependence
Correspondence analysis
Cross-validation (statistics)
Data
Data analysis
Data set
Delivery_Pre-order
Discriminant function analysis
Effect size
eq_isMigrated=2
eq_nobargain
Equation
Estimation
Estimation theory
Estimator
Exploratory data analysis
Factor analysis
Factorial experiment
Gaussian (software)
Inference
Information theory
Interaction (statistics)
Kalman filter
Language_English
Likelihood function
Likelihood-ratio test
Logistic function
M-estimator
Main effect
Mathematical optimization
Mathematical statistics
Mathematics
Meta-analysis
Minimum-variance unbiased estimator
Model selection
Multivariate analysis
Observational study
Order statistic
PA=Temporarily unavailable
Parameter
Prediction
Price_€100 and above
Principal component analysis
Probability
Projection method (fluid dynamics)
PS=Active
Ranking (information retrieval)
Regression analysis
Result
Robust statistics
Sampling (statistics)
Sampling distribution
softlaunch
Statistic
Statistician
Statistics
Summation
Symbolic computation
System analysis
Theil index
Threshold model
Variable (mathematics)
Variance
Weighted arithmetic mean
Product details
- ISBN 9780691631240
- Weight: 652g
- Dimensions: 152 x 229mm
- Publication Date: 19 Apr 2016
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Hardback
- Language: English
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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.
