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man:numeric:random_numbers [2013/06/15 17:06]
admin
man:numeric:random_numbers [2014/01/18 12:41] (current)
admin [Third-party libraries]
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 ======Random numbers ====== ​ ======Random numbers ====== ​
 {{indexmenu_n>​10}} {{indexmenu_n>​10}}
- 
 {{keywords>​java random numbers}} {{keywords>​java random numbers}}
  
 +{{wp>​Random_number_generation}}
  
 ======= Introduction ======= ======= Introduction =======
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-  * The native [[http://​download.oracle.com/​docs/​cd/​E17409_01/​javase/​6/​docs/​api/​java/​util/​Random.html|Java API]] for random numbers. ​See the Java "java.util.Random"+  * The native [[http://​download.oracle.com/​docs/​cd/​E17409_01/​javase/​6/​docs/​api/​java/​util/​Random.html|Java API]] for random numbers. ​For example, see the Java <​javadoc>​java.util.Random</​javadoc>​.
   * The native [[http://​docs.python.org/​library/​random.html|Python API]] for random numbers   * The native [[http://​docs.python.org/​library/​random.html|Python API]] for random numbers
   * The native SCaVis ​ classes ​   * The native SCaVis ​ classes ​
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 {{random_func.png}} {{random_func.png}}
  
 +======= Third-party libraries ​ =======
  
-<hidden click here if you want to know more> A complete description ​of how to use Java, Jython and SCaVis ​for scientific analysis is described in the book [[/​scavis/​book/​|Scientific data analysis using Jython and Java]] published by [[http://​www.springer.com/​computer/​book/​978-1-84996-286-5| Springer VerlagLondon, 2010]] ​(by S.V.Chekanov</​hidden>​+ScaVis contains a number ​of third-party ​Java libraries that can be used for 
 +computation of density (PDF)cumulative ​(CDF), quantile, and random variates of many popular statistical distributions,​ such as:
  
 +  * Ansari-Bradley
 +  * Beta
 +  * Binomial
 +  * Cauchy
 +  * Chi square
 +  * Exponential
 +  * Fisher'​s F
 +  * Gamma
 +  * Geometric
 +  * Hypergeometric
 +  * Kendall
 +  * Logistic
 +  * Log normal
 +  * Negative binomial
 +  * Non-central beta,
 +  * Non-central chi square, ​
 +  * Non-central F
 +  * Non-central T
 +  * Normal
 +  * Poisson
 +  * Sign rank
 +  * Spearman
 +  * Student'​s T
 +  * Tukey
 +  * Uniform
 +  * Weibull
 +  * Wilcoxon
 +
 +and many others. Here is the list you can access and include into your programs:
  
 <ifauth !@member>​ <ifauth !@member>​
 <note important>​ <note important>​
-One can comment and discuss ​this section ​after becoming ​ +Unregistered users have a limited access to this section. ​One can unlock ​this example ​after becoming [[/​scavis/​members/​selock| a full member]]. ​
-[[/​scavis/​members/​selock| a full member]]. ​+
 </​note>​ </​note>​
 </​ifauth>​ </​ifauth>​
 <ifauth @member,​@admin,​@editor>​ <ifauth @member,​@admin,​@editor>​
-~~DISCUSSION~~+ 
 +Look at the following Java packages:  
 + 
 +  * [[/​scavis//​api/​doc.php/​jdistlib/​package-summary| jDistLib]] 
 +  * [[/​scavis/​api/​doc.php/​org/​apache/​commons/​math3/​distribution/​package-summary | Apache commons]] 
 +  * [[/​scavis/​api/​doc.php/​cern/​jet/​random/​package-summary | Colt library]] 
 </​ifauth>​ </​ifauth>​
 +
 +
 +<hidden click here if you want to know more> A complete description of how to use Java, Jython and SCaVis for scientific analysis is described in the book [[/​scavis/​book/​|Scientific data analysis using Jython and Java]] published by [[http://​www.springer.com/​computer/​book/​978-1-84996-286-5| Springer Verlag, London, 2010]] (by S.V.Chekanov) </​hidden>​
  
  
  --- //​[[scavis@jwork.org|Sergei Chekanov]] 2010/03/07 16:37//  --- //​[[scavis@jwork.org|Sergei Chekanov]] 2010/03/07 16:37//
  
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