Statistical Sources

The 14 version of JMP statistical discovery software from SAS provides users new opportunities for faster, deeper insights across the entire analytics workflow: new ways to connect to data sources, new tools to streamline data cleanup, and more options for data visualization and designed experiments.

SAS JMP has released JMP Statistical Discovery Pro 18.0 is the data analysis tool of choice that scientists and engineers rely on for powerful analytic capabilities and dynamic statistical discovery.

SAS JMP has released JMP Statistical Discovery Clinical 18 is an analytical software application that makes it easy to review clinical trial data.

Statistical Mechanics and Statistical Methods in Theory and Applications.
This volume of essays is dedicated to Professor Elliott Waters Montroll on his sixtieth birthday. The outstanding scientific work of Professor Montroll, his record as a teacher, lecturer and director of research, his active role on numerous governmental, academic and industrial advisory boards and panels, his editorial endeavors and the long line of students, collaborators, colleagues and friends are all a testimony to his con- tributions to science and society.

1 Audience Students seeking master's degrees in applied statistics in the late 1960s and 1970s typically took a year-long sequence in statistical methods. Popular choices of the course text book in that period prior to the availability of high­ speed computing and graphics capability were those authored by Snedecor and Cochran, and Steel and Torrie. By 1980, the topical coverage in these classics failed to include a great many new and important elementary techniques in the data analyst's toolkit. In order to teach the statistical methods sequence with adequate coverage of topics, it became necessary to draw material from each of four or five text sources. Obviously, such a situation makes life difficult for both students and instructors. In addition, statistics students need to become proficient with at least one high-quality statistical software package. This book can serve as a standalone text for a contemporary year-long course in statistical methods at a level appropriate for statistics majors at the master's level or other quantitatively oriented disciplines at the doctoral level. The topics include both concepts and techniques developed many years ago and a variety of newer tools not commonly found in textbooks.

Universal codes efficiently compress sequences generated by stationary and ergodic sources with unknown statistics, and they were originally designed for lossless data compression. In the meantime, it was realized that they can be used for solving important problems of prediction and statistical analysis of time series, and this book describes recent results in this area.

Learn A to Z of SAS programming

Learn A to Z of SAS programming