µn¤J
¡U
µù¥U
¡U
·|û¤¤¤ß
¡U
µ²±b
¡U
°ö°V½Òµ{
Å]ªk§Ì¤l
¡U
¦Û¸ê¥Xª©
¡U
¹q¤l®Ñ
¡U
«ÈªA¤¤¤ß
¡U
´¼¼z«¬¥ßÊ^·|û
®Ñ¦W
¥Xª©ªÀ
§@ªÌ
isbn
½s¸¹
5050Å]ªk²³Äw
|
NG®Ñ«°
|
°ê»Ú¯Å«~µP½Òµ{
|
Àu´f³qª¾
|
ÅRÆE^¶¯µ¼Öºë¿ï
|
^¤åEmail¡A§AÀ³¸Ó§Û³o¤@¥»¡I¡G(¶WÈ¥úºÐªþÃØ¥þ®Ñ±`¥Î±¡¹Ò^¤åEmail½d¥»¡Aª½±µ½Æ»s¶K¤W¦n²³æ¡I)
¦¹§@ªÌµL¬ÛÃö®ÑÄy
¤å¾Ç¤p»¡
¤å¾Ç
¡U
¤p»¡
°ÓºÞ³Ð§ë
°]¸g§ë¸ê
¡U
¦æ¾P¥øºÞ
¤H¤åÃÀ§{
©v±Ð¡Bõ¾Ç
ªÀ·|¡B¤H¤å¡B¥v¦a
ÃÀ³N¡B¬ü¾Ç
¡U
¹q¼vÀ¸¼@
Ày§Ó¾i¥Í
ÂåÀø¡B«O°·
®Æ²z¡B¥Í¬¡¦Ê¬ì
±Ð¨|¡B¤ß²z¡BÀy§Ó
¶i׾Dzß
¹q¸£»Pºô¸ô
¡U
»y¨¥¤u¨ã
Âø»x¡B´Á¥Z
¡U
x¬F¡Bªk«ß
°Ñ¦Ò¡B¦Ò¸Õ¡B±Ð¬ì¥Î®Ñ
¬ì¾Ç¤uµ{
¬ì¾Ç¡B¦ÛµM
¡U
¤u·~¡B¤uµ{
®a®x¿Ë¤l
®a®x¡B¿Ë¤l¡B¤H»Ú
«C¤Ö¦~¡Bµ£®Ñ
ª±¼Ö¤Ñ¦a
®È¹C¡B¦a¹Ï
¡U
¥ð¶¢®T¼Ö
º©µe¡B´¡¹Ï
¡U
¨î¯Å
Time Series Analysis¡GForecasting And Control(2008¦~4ª©)ºë¸Ë
¤ÀÃþ¡G
»y¨¥¤u¨ã
¡þ
^»y¶i×
¥Xª©ªÀ¡G
µØ®õ¤å¤Æ
¥Xª©¤é´Á¡G2008/1/1
ISBN¡G0470272848
®ÑÄy½s¸¹¡Gkk0219606
¶¼Æ¡G727
©w»ù¡G
1580
¤¸
®Ñ»ùY¦³²§°Ê¡A¥H¥Xª©ªÀ¹ê»Ú©w»ù¬°·Ç
¼È°±³c°â
¼ÈµL¨ÑÀ³°Ó¡G´M§ä¨Ñ³f°Ó¤¤(¤]¦³¥i¯à¥Xª©ªÀ¤wµ²§ô)¡C
¹ÎÁʼƳ̧C¬° 20 ¥»¥H¤W
µû»ù¼Æ¡G
(½Ð±N·Æ¹«²¾¦Ü¬P¬P³B¶i¦æµû»ù)
¥Ø«e¥§¡µû»ù¡G
¤å¦r³sµ²
½Æ»s»yªk
Time Series Analysis¡GForecasting And Control(2008¦~4ª©)ºë¸Ë
¹Ï¤ù³sµ²
½Æ»s»yªk
¤À
¨É
¤º®e²¤¶
¦PÃþ±ÀÂË
內容簡介
This is a revision of a classic, seminal, and authoritative book that has been the model for most books on the topic written since 1970. It focuses on practical techniques throughout, rather than a rigorous mathematical treatment of the subject. It explores the building of stochastic (statistical) models for time series and their use in important areas of application forecasting, model specification, estimation, modeling the effects of intervention events, and process control, among others. In addition to meticulous modifications in content and improvements in style, the new edition incorporates several new topics in an effort to modernize the subject matter. These topics include extensive discussions of multivariate time series, smoothing, likelihood function based on the state space model, autoregressive models, structural component models and deterministic seasonal components, and nonlinear and long memory models.
ÃöÁä^³æ 2¡G108
¥´³y¦¨¥\²ßºDªº^»y§Û
GEPT·s¨î¥þ¥Á^ÀË
GEPT ·s¨î¥þ¥Á^
FUN¾Ç¬ü°ê¦U¾Ç¬ìªì
FUN¾Ç¬ü°ê¦U¾Ç¬ìªì
³o¼Ë¾Ç¥~»y¤~¦³®Ä¡G¥~
µJÂI^»y¾\Ū 1¡G¤»
±q^¤å¤åªk¥y«¬¨ìµu¤å
¯d¾Ç¡A¬O¬°¤F¦¨¬°§ó¦n
¬°¤F«O»Ù±zªºÅv¯q¡A·sµ·¸ôºô¸ô®Ñ©±©ÒÁʶRªº°Ó«~§¡¨É¦³¨ì³f¤C¤ÑªºÅ²½à´Á¡]§t¨Ò°²¤é¡^¡C°h¦^¤§°Ó«~¥²¶·©óŲ½à´Á¤º±H¦^¡]¥H¶lÂW©Î¦¬°õÁp¬°¾Ì¡^¡A¥B°Ó«~¥²¶·¬O¥þ·sª¬ºA»P§¹¾ã¥]¸Ë(°Ó«~¡Bªþ¥ó¡B¤º¥~¥]¸Ë¡BÀH³f¤å¥ó¡BÃØ«~µ¥)¡A§_«h®¤¤£±µ¨ü°h³f¡C