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Çñ³Ï³Ý³óáõÙÁ STATISTICA Íñ³·ñ³ß³ñÇ ÙÇç³í³ÛñáõÙ 

 
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e-mail arsen.manasyan@gmail.com 

 

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Ùß³Ïí³Í Ù»Ãá¹Ç DSA Íñ³·ñ³ÛÇÝ Çñ³Ï³Ý³óáõÙÁ£ Ø»Ãá¹Á ß³ñ³¹ñí³Í ¿ 
[1]-áõÙ£ Üáñ Íñ³·ÇñÁ ϳñáÕ ¿ ÏÇñ³éí»É ÇÝãå»ë áõëáõóÙ³Ý 
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[1] سݳëÛ³Ý ². ì., ìÇ׳ϳ·ñ³Ï³Ý ÇÝï»ñ³ÏïÇí ·Í³å³ïÏ»ñÝ»ñÇ 
·áñÍÁÝóóÇ û·ï³·áñÍٳٵ ïíÛ³ÉÝ»ñÇ Ñ³Ù³ë»éáõÃÛ³Ý í»ñÉáõÍáõÃÛ³Ý 
Ù³ëÇÝ, سûٳïÇÏ³Ý µ³ñÓñ³·áõÛÝ ¹åñáóáõÙ, ѳÝÓÝí³Í ¿£  

[2] Lausen B., Schumacher M., Maximally selected rank Statistics, Biometrics 48, pp 73-
85, 1992. 

[3] Hawkins D. M., Fitting multiple change-point models to data. Computational 
Statistics and Data Analysis 37, pp 323-341, 2001 

[4] Schwartz P., Threshold models for combination data from reproductive and 
developmental experiments. J. of Amer. Statist. Assoc. 90, pp 862-870, 1995 

[5] Safaryan I. A., Haroutunian E. A., Manasyan A. V., Two-dimensional sequence 
homogeneity testing against mixture alternative. Mathematical Problems of 
Computer Science 23, pp 67-79, 2004 

[6] Dias A., Embrechs P., Change-point analysis for dependence structures in finance 
and insurance, www.math.ethr.ch/~embrechs 

[7] Shih Y.-Sh., Tsai H.-W., Variable selection bias in regression trees with constant fit. 
Computational Statistics and Data Analysis v. 45, pp 595-608, 2004 

 
 

The New Method of Multidimensional Sequence Structure Snalysis and 
Its Implementation in STATISTICA System. 

A. Manasyan 
Abstract 

 
The article presents DSA software, which works in STATISTICA environment and 

implements the method of multidimensional sequence structure analysis. The method was 
described in [1]. The new tool can be used in teaching purposes as well for real data 
analysis.