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Çѱ¹¼öÀÚ¿øÇÐȸ / v.37, no.12, 2004³â, pp.993-1007
Ç㽺Ʈ Áö¼ö »êÁ¤ ¹æ¹ý¿¡ ´ëÇÑ °íÂû
( On the Estimation Techniques of Hurst exponent )
±èº´½Ä;±èÇü¼ö;¼­º´ÇÏ; Çѱ¹°Ç¼³±â¼ú¿¬±¸¿ø ¼öÀÚ¿ø¿¬±¸ºÎ;ÀÎÇÏ´ëÇб³ Åä¸ñ°øÇаú;ÀÎÇÏ´ëÇб³ Åä¸ñ°øÇаú;
 
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Ç㽺Ʈ Áö¼ö¸¦ »êÁ¤Çϱâ À§ÇÏ¿© ±âÁ¸¿¡ ¿©·¯ ¹æ¹ý·ÐµéÀÌ Á¦¾ÈµÇ¾î ¿Ô´Ù. ±×·¯³ª, ÀÌµé ¹æ¹ý·ÐµéÀº ½Ã°è¿­µéÀÇ Áö¼Ó¼º¿¡ ´ëÇÏ¿© °¢±â ´Ù¸¥ Ư¼ºµéÀ» º¸À̰í ÀÖÀ½À» ±âÁ¸ÀÇ ¿¬±¸¿¡¼­ ¾Ë ¼ö ÀÖ´Ù µû¶ó¼­ º» ¿¬±¸¿¡¼­´Â ¼ö¹®Çп¡¼­ ÁÖ·Î ÀÌ¿ëÇϰí ÀÖ´Â º¸Á¤¿ë·®, Á¶Á¤¿ë·®, ¼öÁ¤Á¶Á¤¿ë·® ¹æ¹ý À̿ܿ¡ »ý¸®ÇÐ ºÐ¾ß¿Í ÀüÀÚ ºÐ¾ß µî¿¡¼­ ÀÌ¿ëµÇ°í ÀÖ´Â 1/f ÆÄ¿ö ½ºÆåÆ®·³ ¹Ðµµ ºÐ¼®, DFA, AVT ¹æ¹ý, ÃÖ¿ìµµ¹ý µîÀ» ÀÌ¿ëÇÏ¿© Ç㽺Ʈ Áö¼ö¸¦ »êÁ¤ÇÏ¿© º¸¾Ò´Ù. Áï, ´Ü±â°£°ú Àå±â°£ ±â¾ïÀ» °¡Áø Ä«¿À½º¿Í Ãß°èÇÐÀû ½Ã°è¿­µé¿¡ ´ëÇÏ¿© °¢°¢ÀÇ ¹æ¹ýµéÀ» Àû¿ëÇÏ¿© ºñ±³ ºÐ¼®ÇϰíÀÚ ÇÏ¿´À¸¸ç, °¢ ¹æ¹ý·Ðµé¿¡ ´ëÇÑ ÀåÁ¡ ¹× ´ÜÁ¡ ±×¸®°í ÇѰ迡 ´ëÇÏ¿© ³íÀÇÇÏ¿´´Ù.
There are many different techniques for the estimation of the Hurst exponent. However, the techniques can produce different characteristics for the persistence of a time series each other. This study uses several techniques such as adjusted range, resealed range(RR) analysis, modified restated range(MRR) analysis, 1/f power spectral density analysis, Maximum Likelihood Estimation(MLE), detrended fluctuations analysis(DFA), and aggregated variance time(AVT)method for the Hurst exponent estimation. The generated time series from chaos and stochastic systems are analyzed for the comparative study of the techniques. Then this study discusses the advantages and disadvantages of the techniques and also the limitations of them.
 
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Ç㽺Ʈ Áö¼ö;Àå¤ý´Ü±â ±â¾ï;Á¶Á¤¿ë·®;¼öÁ¤Á¶Á¤¿ë·®;Hurst exponent;long & short term memory;RR;DFA;AVT;
 
Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.37, no.12, 2004³â, pp.993-1007
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200414714216556)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
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