The guessing parameter is not yet available in applets 3 and higher.
The proper working of stratified sampling in the higher applets has not been checked for a long time now, be not amazed to get rubbish as results.
If you come across an applet that is not functioning properly, please mail me. It is not possible always to check all applets for unintended consequences of changes in classes. As this is a project in progress, such changes are made on a routine basis.
Applets are known to work correctly under:
Internet Explorer under Windows XP
Firefox 1.0.7 under Windows XP
Safari 1.2 under MacOSX 10.3.9
FireFox 22.214.171.124 under MacOSX 10.3.9
It might be the case that the applets do not open properly in browsers under Windows, or in browsers other than Safari under MacOS X: the applet field remains gray or blank.
In module chapters original applets have been replaced with screenshots; therefore applet problems should not hinder readers of the SPA project. Readers not able to use the applets in their browser, and yet willing to do so, may contact me, if preferences of the browser pertaining to Java do not seem to be the problem.
Information about Java, and applets in particular:
MacOS X: There is a problem with Java versions 1.4 for browsers other than Safari. See http://javaplugin.sourceforge.net/Readme.html; http://developer.apple.com/documentation/Java/Conceptual/Java131Development/deploying/chapter_3_section_5.html; simile.mit.edu/repository/ misc/java_embedding_plugin/readme.rtf
MacOS X: Opera, version 8.5, produces 'java.lang.UnsupportedClassVersionError: Spa_BinomialApplet (Unsupported major.minor version 48.0)
MacOS X: Internet Explorer 5.2 for Mac, [preferences: enable Java on; cookies: never ask; web content: enable plug-ins on] produces 'java.lang.UnsupportedClassVersionError: Spa_BinomialApplet (Unsupported major.minor version 48.0)
Windows: Java Applet plug-in makes it possible for your computer (including Windows® XP, Me, NT, 2000, 98, or 95) to run applets in your browser. http://www.mcdonalds.com/search/help/plug_play/sunmicro.html
1 1a Generator 1o. 1oa advanced 2 2a Mastery Envelope 3 3a Predictor 4 4a Ruling 5 5a Learning 6 6a Expectations 6b. special 6.1a. advanced 7 7a Last Test 8 8a Strategy 9 9a True Utility
Episodes is the number of episodes (units of time) invested or to be invested in preparation for the test. The unit episode is the time invested at the time of preliminary testing. Choosing a larger number of episodes extends the prediction further into the future.
Bars/episode is the grid that the unit episodes may be divided in. Declaration of a small number of episodes otherwise would result in a rather clumsy 'curve'. The grid allows the number of episodes to be real, for example 1.1 will do for an analysis on a rather short term if the number of bars is chosen to be ten.
Statistics. It would be instructive to have the means and standard deviations of the distributions plotted. This has not been implemented yet, however.
Stratified sampling from two subdomains uses the specifications of test one and two as the specifications for domain one and two, respectively, excepting the references and the compensations. The utility function over the combined test result will use as the reference point the SUM of the two references specified. The grouping and compensation parameters of the FIRST test ONLY will define the grouping and compensation on the utility function over the combined test result.
Mail your opinion, suggestions, critique, experience on/with the SPA