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Runs Test For Randomness Pdf Free, long way down epub vkm
d680c458d3 If you specify a value for v, then runstest performs the hypothesis test based on the number of runs of consecutive values above or below v. Click the button below to return to the English verison of the page. Values exactly equal to the preceding value are discarded.h = runstest( , Name,Value ) returns a test decision using additional options specified by one or more name-value pair arguments. You can specify several name and value pair arguments in any order as Name1,Value1,.,NameN,ValueN.Example: collapse all'Alpha' Significance level0.05 (default) scalar value in the range (0,1) Significance level of the hypothesis test, specified as the comma-separated pair consisting of 'Alpha' and a scalar value in the range (0,1). Translate runstestRun test for randomnesscollapse all in page Syntaxh = runstest(x)h = runstest(x,v) exampleh = runstest(x,'ud')h = runstest( ,Name,Value)[h,p,stats] = runstest( )Description h = runstest(x) returns a test decision for the null hypothesis that the values in the data vector x come in random order, against the alternative that they do not. Cookies are required to use this site.
Your browser doesn't accept cookies. Example: 'Method','approximate' 'Tail' Type of alternative hypothesis'both' (default) 'right' 'left' Type of alternative hypothesis, specified as the comma-separated pair consisting of 'Tail' and one of the following. The test statistic is approximately normally distributed when the null hypothesis is true. The result h is 1 if the test rejects the null hypothesis at the 5% significance level, or 0 otherwise.example h = runstest(x,v) returns a test decision based on the number of runs of consecutive values above or below the specified reference value v. Too many runs indicate a tendency for high and low values to alternate. stats Test datastructure Test data, returned as a structure with the following fields. Back to English Translate This Page Select Language Bulgarian Catalan Chinese Simplified Chinese Traditional Czech Danish Dutch English Estonian Finnish French German Greek Haitian Creole Hindi Hmong Daw Hungarian Indonesian Italian Japanese Korean Latvian Lithuanian Malay Maltese Norwegian Polish Portuguese Romanian Russian Slovak Slovenian Spanish Swedish Thai Turkish Ukrainian Vietnamese Welsh MathWorks Machine Translation The automated translation of this page is provided by a general purpose third party translator tool. Statistics and Machine Learning Toolbox Documentation Examples Functions and Other Reference Release Notes PDF Documentation Other Documentation MATLABSymbolic Math ToolboxNeural Network ToolboxBioinformatics ToolboxCurve Fitting ToolboxDocumentation Home Support MATLAB AnswersInstallation HelpBug ReportsProduct RequirementsSoftware Downloads Free eBook: Machine Learning with MATLAB Download now . 1994-2016 The MathWorks, Inc.