Difference between revisions of "Normal additive growth"

 
 
(One intermediate revision by one other user not shown)
Line 2: Line 2:
 
[[Category:Doc Status C]] <!-- For Lumina use, do not change -->
 
[[Category:Doc Status C]] <!-- For Lumina use, do not change -->
  
= Normal_additive_gro(x,m,s,r,i) =
+
== Normal_additive_gro(x, m, s, r, i) ==
 +
Generates an array over index «i» of normal distributions with mean «m», standard deviation «s», and correlation «r» between successive values  over index «i». 
  
Generates an array over index i of normal distributions with mean m, standard deviation s, and correlation r between successive values  over index i.  You can give each distribution a different mean and/or standard deviation if m and/or s are arrays indexed by i. If r is indexed by i, r[i=k] specifies the correlation between result[i=k] and result[i=k-1].  (Then the first correlation, slice(r, i, 1)  is ignored.)
+
You can give each distribution a different mean and/or standard deviation if «m» and/or «s» are arrays indexed by «i». If «r» is indexed by «i», ''r[i = k]'' specifies the correlation between ''result[i = k]'' and ''result[i = k - 1]''.  (Then the first correlation, [[slice]](r, i, 1)  is ignored.)
 
 
= Library =
 
  
 +
== Library ==
 
Multivariate Distributions.ana
 
Multivariate Distributions.ana
  
= See Also =
+
== See Also ==
 
 
 
* [[Normal_serial_correl]]
 
* [[Normal_serial_correl]]
* [[Normal_compound_growth]]
+
* [[Normal_compound_gro]]
 
* [[Dist_additive_growth]]
 
* [[Dist_additive_growth]]
 +
* [[Multivariate distributions]]

Latest revision as of 02:28, 28 January 2016


Normal_additive_gro(x, m, s, r, i)

Generates an array over index «i» of normal distributions with mean «m», standard deviation «s», and correlation «r» between successive values over index «i».

You can give each distribution a different mean and/or standard deviation if «m» and/or «s» are arrays indexed by «i». If «r» is indexed by «i», r[i = k] specifies the correlation between result[i = k] and result[i = k - 1]. (Then the first correlation, slice(r, i, 1) is ignored.)

Library

Multivariate Distributions.ana

See Also

Comments


You are not allowed to post comments.