University of Alabama

About: University of Alabama is a education organization based out in Tuscaloosa, Alabama, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 27323 authors who have published 48609 publications receiving 1565337 citations. The organization is also known as: Alabama & Bama.

Selecting and Ordering Populations: A New Statistical Methodology

Abstract: 1. The Philosophy of Selecting and Ordering Populations 2. Selecting the One Best Population for Normal Distributions with Common Known Variance 3. Selecting the One Best Population for Other Normal Distribution Models 4. Selecting the One Best Population Bionomial (or Bernoulli) Distributions 5. Selecting the One Normal Population with the Smallest Variance 6. Selecting the One Best Category for the Multinomial Distribution 7. Nonparametric Selection Procedures 8. Selection Procedures for a Design with Paired Comparisons 9. Selecting the Normal Population with the Best Regression Value 10. Selecting Normal Populations Better than a Control 11. Selecting the t Best Out of k Populations 12. Complete Ordering of k Populations 13. Subset Selection (or Elimination) Procedures 14. Selecting the Best Gamma Population 15. Selection Procedures for Multivariate Normal Distributions Appendix A. Tables for Normal Means Selection Problems Appendix B. Figures for Normal Means Selection Problems Appendix C. Table of the Cumulative Standard Normal Distribution F(z) Appendix D. Table of Critical Values for the Chi-Square Distribution Appendix E. Tables for Binomial Selection Problems Appendix F. Figures for Binomial Selection Problems Appendix G. Tables for Normal Variances Selection Problems Appendix H. Tables for Multinomial Selection Problems Appendix I. Curtailment Tables for the Multinomial Selection Problem Appendix J. Tables of the Incomplete Beta Function Appendix K. Tables for Nonparametric Selection Problems Appendix L. Tables for Paired-Comparison Selection Problems Appendix M. Tables for Selecting from k Normal Populations Those Better Than a Control Appendix N. Tables for Selecting the t Best Normal Populations Appendix O. Table of Critical Values of Fisher's F Distribution Appendix P. Tables for Complete Ordering Problems Appendix Q. Tables for Subset Selection Problems Appendix R. Tables for Gamma Distribution Problems Appendix S. Tables for Multivariate Selection Problems Appendix T. Excerpt of Table of Random Numbers Appendix U. Table of Squares and Square Roots Bibliography References for Applications Index for Data and Examples Name Index Subject Index.

The interaction of the explicit and the implicit in skill learning: a dual-process approach.

Abstract: This article explicates the interaction between implicit and explicit processes in skill learning, in contrast to the tendency of researchers to study each type in isolation. It highlights various effects of the interaction on learning (including synergy effects). The authors argue for an integrated model of skill learning that takes into account both implicit and explicit processes. Moreover, they argue for a bottom-up approach (first learning implicit knowledge and then explicit knowledge) in the integrated model. A variety of qualitative data can be accounted for by the approach. A computational model, CLARION, is then used to simulate a range of quantitative data. The results demonstrate the plausibility of the model, which provides a new perspective on skill learning.

Extensive reorganization of the somatosensory cortex in adult humans after nervous system injury

Abstract: MAGNETIC source imaging revealed that the topographic representation in the somatosensory cortex of the face area in upper extremity amputees was shifted an average of 1.5 cm toward the area that would normally receive input from the now absent nerves supplying the hand and fingers. Observed alterat