April 2017
Intermediate to advanced
648 pages
22h 22m
English
Content preview from Statistical Intervals, 2nd Edition
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Wiley Series in Probability and Statistics
Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition by William Q. Meeker, Gerald J. Hahn and Luis A. Escobar
Optimal Selection Problems: Theory and Applications by Thomas Bruss
Theory of Probability by Bruno de Finetti
Probability and Conditional Expectation: Fundamentals for the Empirical Sciences by Rolf Steyer, Werner Nagel
Robust Correlation: Theory and Applications by George Shevlyakov, Hannu Oja
Linear Models, 2nd Edition by Marvin H. J. Gruber, Shayle R. Searle
Statistical Shape Analysis: With Applications in R, 2nd Edition by Ian L. Dryden, Kanti V. Mardia
Matrix Analysis for Statistics, 3rd Edition by James R. Schott
Statistics and Causality: Methods for Applied Empirical Research by Wolfgang Wiedermann (Editor), Alexander von Eye (Editor)
Time Series Analysis by Wilfredo Palma
Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 4th Edition by Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook
Randomization in Clinical Trials: Theory and Practice, 2nd Edition by William F. Rosenberger, John M. Lachin
Methodological Developments in Data Linkage by Katie Harron, Harvey Goldstein, Chris Dibben
An Introduction to Probability and Statistics, 3rd Edition by Vijay K. Rohatgi, A.K. Md. Ehsanes Saleh
Geometry Driven Statistics by Ian L. Dryden (Editor), John T. Kent (Editor)
Spatial and Spatio-Temporal Geostatistical Modeling and Kriging by José-María ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.