The New Method of Multidimensional Sequence Structure Snalysis and Its Implementation in STATISTICA System.
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.
References
Մանասյան Ա. Վ., Վիճակագրական ինտերակտիվ գծապատկերների գործընթացի օգտագործմամբ տվյալների համասեռության վերլուծության մասին, Մաթեմատիկան բարձրագույն դպրոցում, հանձնված է։
Lausen B., Schumacher M., Maximally selected rank Statistics, Biometrics 48, pp 73- 85, 1992.
Hawkins D. M., Fitting multiple change-point models to data. Computational Statistics and Data Analysis 37, pp 323-341, 2001
Schwartz P., Threshold models for combination data from reproductive and developmental experiments. J. of Amer. Statist. Assoc. 90, pp 862-870, 1995
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
Dias A., Embrechs P., Change-point analysis for dependence structures in finance and insurance, www.math.ethr.ch/~embrechs
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
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