![]() These allow failure analysis with accelerating factors under a wide variety of assumptions. ![]() By specifying a time-to-failure, predictor variable, any weights and censoring factors, as well as a proposed distribution, a number of diagnostics are produced. A simulator has been added to increase the accuracy of the estimates and to provide greater predictive power.įigure 3: Nonparametric density with marginal distributionsįor those into reliability analysis, the new ‘Fit Life by X’ platform will perform some rather amazing analytic feats with just a few clicks on the mouse (assuming a knowledgeable analyst). This will, if used judiciously, maximize profits. Using the new ‘Choice’ platform within the Analyze/Modeling menu, the analyst will make use of the Fit Model and Prediction Profilers already in earlier models of JMP to determine which settings of the variables (choices presented to potential/actual customers) are most desired. JMP 8 has a new unit designed particularly for business decision-driven survey analysis. Lest the new user be overwhelmed with the quality of the graphics, we need to briefly mention the newer analytic features. The information above pales in comparison to those that we may extract from the new bubble plots with tails (Figure 2), the nonparametric density plots with marginal distributions (Figure 3) and the newer profilers (Figure 4). It quickly shows us that weight will increase with height and that males tend to be larger than females (a really electrifying discovery). jmp file “Big Class,” dragging and dropping the height and weight functions to the graph area and sex to the ‘overlay’ area, Figure 1 was constructed in a few seconds. For those who used the ‘Tabulate’ function in version 7, this will be an even easier natural extension. This revolutionary feature allows a series of drag-and-drop operations to build new graphics with ease and maximal flexibility. To introduce but a small array of the newer features present, let’s concentrate for a moment on the really nice application in software development called the Graph Builder. For scientists and engineers searching for understanding of multivariate processes, these new graphics provide the tools for breakthrough discovery. The scatterplots with nonparametric density contours and marginal distributions are literally breathtaking and will display remarkable amounts of complex data in a form highly amenable to pattern discovery. ![]() Keep in mind that many of the best features of the new software are dynamic visualizations of the data (examples include by time and ID variables such as country, percentage of population, etcetera) that are constructed with the newer bubble plots. A “brief” overview is presented in Table 1 and operating system requirements in Table 2. In fact, the ‘New Features in JMP 8’ listing runs to 19 pages. This major upgrade includes additions to the statistics, graphics, QA, ease-of-use, SAS integration and data management areas. It is always a pleasure to greet an old friend and, with each new release of JMP statistical/graphics software from SAS, excitement never abates. ![]() The latest version of this statistical discovery software offers stunning graphics quality
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