Design of Comparative Experiments (Cambridge Series in Statistical and Probabilistic Mathematics) by BAILEY,R. A. |
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Authors: | Carla L Goad |
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Institution: | Department of StatisticsOklahoma State UniversityStillwater, Oklahoma, U.S.A. |
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Abstract: | Design of Comparative Experiments (Cambridge Series in Statistical and Probabilistic Mathematics) (R. A. Bailey) Carla L. Goad Cluster Randomised Trials (R. J. Hayes and L. H. Moulton) Michael J. Campbell Bayesian Evaluation of Informative Hypotheses (H. Hoijtink, I. Klugkist, and P. A. Boelen, Editors) Bo Cai Bayesian Methods for Measures of Agreement (L. Broemeling) Cody Hamilton Statistical Learning from a Regression Perspective (R. A. Berk) Yutaka Yasui and Xiaoming Wang Statistical Detection and Surveillance of Geographic Clusters (P. Rogerson and I. Yamada) Maria Dolores Ugarte Global Sensitivity Analysis. The Primer (A. Saltelli, M. Ratto, T. Andres, F. Campolongo, J. Cariboni, D. Gatelli, M. Saisana, and S. Tarantola) Bryan E. Shepherd Semi‐Markov Chains and Hidden Semi‐Markov Models toward Applications: Their Use in Reliability and DNA Analysis (V. S. Barbu and N. Limnios) Yann Guédon Brief Reports by the Editor Handbook of Statistical Analyses Using SAS , 3rd edition (G. Der and B. S. Everitt) Software for Data Analysis: Programming with R (J. M. Chambers) R for SAS and SPSS Users (R. A. Muenchen) Recent Advances in Linear Models and Related Areas: Essays in Honour of Helge Toutenburg (Shalabh and C. Heumann) Medical Statistics from A to Z, 2nd edition (B. Everitt) |
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