Implementación de un predictor de series de tiempo utilizando Support Vector Regression para el mercado de los televisores en el continente europeo

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(25) 25. !%J J% (&J QJO & & + S - % 2 ! %& - &J M +& # +(!,$ & M & / %J P& B @7C2 ! J &J M + & 3J + (!# &* %J 2 ! BQJ C %(QJ S& ( ( % QJ - - 2 )*+,-'./01 3 MERCADO SUIZO. UNIDADES VENDIDAS (MILLONES). 0,06. 0,05. 12. > 55 11. 50-55 10. 45-49 09. 40-44. 0,04. 08. 33-39 07. 30-32 06. 24-29. 0,03. 05. 19-23 (4:3) 04. 21-23 (16:9) 03. 19-20 (16:9). 0,02. 02. <= 18 (16:9) 01. <= 18 (4:3). 0,01. 200802. 200711. 200708. 200705. 200702. 200611. 200608. 200605. 200602. 200511. 200508. 200505. 200502. 200411. 200408. 200405. 200402. 200311. 200308. 200305. 0. TIEMPO(MESES). Z ! PJ 7&J & J & % +&J" + J QJ&% & & &J J " ( + (QJ( % & M( 2 - QJJ ( % & + & M N( & + % &% - &* ( & %J 2 &- & J % & & MJ% & J( 2 && & &*( & & M7;7%J %QJJ% &J - P & &S J% 2 &- + J QJ & + ( ( & %J O % P ( (&* & % S& &2 %& % QJ PJ * & J ( J & J& ( 2. . 2 272 #A01$17B,'!!,1.0 ..0C & + & & J + &- % &% QJ % - 2= 4 - - BJ C2 J PJ QJ &% & & % + & & M2%J QJJ PJ .

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