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¡ÄµÂÒ â¾¸Ôìá´§. ÇÔ¸Õ¡ÒûÃÐÁÒ³¤èÒ¾ÒÃÒÁÔàµÍÃìẺàºÂì ÊÓËÃѺ¡ÒÃᨡᨧ»ÑÇÊì«Í§àÁ×èÍ¡ÅØèÁµÑÇÍÂèÒ§¢¹Ò´àÅç¡ . »ÃÔÒâ·(ʶԵԻÃÐÂØ¡µì). ʶҺѹ෤â¹âÅÂÕ¾ÃШÍÁà¡ÅéÒ¾Ãй¤Ãà˹×Í. ÊӹѡËÍÊÁØ´¡ÅÒ§. : ʶҺѹ෤â¹âÅÂÕ¾ÃШÍÁà¡ÅéÒ¾Ãй¤Ãà˹×Í, 2549.
ÇÔ¸Õ¡ÒûÃÐÁÒ³¤èÒ¾ÒÃÒÁÔàµÍÃìẺàºÂì ÊÓËÃѺ¡ÒÃᨡᨧ»ÑÇÊì«Í§àÁ×èÍ¡ÅØèÁµÑÇÍÂèÒ§¢¹Ò´àÅç¡
Small-sample estimation of poisson parameter using Bayesian method
Name: ¡ÄµÂÒ â¾¸Ôìá´§
ThaSH:
¡ÒÃᨡᨧ»ÑǫͧÊì
ThaSH:
¡ÒûÃÐÁÒ³¤èÒ¾ÒÃÒÁÔàµÍÃì
ThaSH:
ªèǧ¤ÇÒÁàª×èÍÁÑè¹
Abstract:
¡ÒÃÇԨѹÕéÁÕÇѵ¶Ø»ÃÐʧ¤ìà¾×èÍÈÖ¡ÉÒà»ÃÕºà·ÕºÇÔ¸Õ¡ÒûÃÐÁÒ³¤èÒ¾ÒÃÒÁÔàµÍÃì . ¢Í§¡ÒÃᨡᨧ»ÑÇÊì«Í§áººªèǧ 2 ÇÔ¸Õ ¤×Í ÇÔ¸Õ¡ÒûÃÐÁҳẺáÁ¡«ÔÁÑÁäÅÅÔÎÙ´ áÅÐÇÔ¸Õ¡ÒûÃÐÁҳẺàºÂì ·ÕèÁÕ¡ÒÃᨡᨧ¡è͹à»ç¹áººá¡ÁÁÒ ãªéÇÔ¸Õ¡ÒèÓÅͧ¢éÍÁÙÅ´éÇÂà·¤¹Ô¤Á͹µÔ¤ÒÃìâÅáÅзӫéÓ 1,000 Ãͺã¹áµèÅÐʶҹ¡Òóì·ÕèÈÖ¡ÉÒ ¡ÒõѴÊԹ㨾ԨÒóҨҡ¤èÒÊÑÁ»ÃÐÊÔ·¸Ôì¤ÇÒÁàª×èÍÁÑè¹ áÅФèÒ¤ÇÒÁÂÒÇà©ÅÕè¢ͧªèǧ¤ÇÒÁàª×èÍÁÑ蹼šÒÃÇԨѾºÇèÒÇÔ¸Õ¡ÒûÃÐÁÒ³ªèǧ¤ÇÒÁàª×èÍÁÑè¹áººàºÂìàÁ×èÍ¡ÒÃᨡᨧ¡è͹à»ç¹áººá¡ÁÁÒãËé¼Å´Õ¡ÇèÒẺáÁ¡«ÔÁÑÁäÅÅÔÎÙ´ã¹·Ø¡¡Ã³Õ·ÕèÈÖ¡ÉÒ â´Â·Õè¤èÒ¾ÒÃÒÁÔàµÍÃì .. ,. . ¢Í§¡ÒÃᨡᨧá¡ÁÁҨТÖé¹ÍÂÙè¡Ñº¢¹Ò´µÑÇÍÂèÒ§ n áÅоÒÃÒÁÔàµÍÃì . ¢Í§¡ÒÃᨡᨧ»ÑÇÊì«Í§
Abstract:
The objective of this research was to compare two interval estimation methods forparameters of Poisson distributions. The estimation methods were Maximum LikelihoodMethod, Bayesian Estimation Method which used Gamma prior distributions. The datawere generated through the Monte Carlo simulation technique and each case was repeated1,000 times. The comparison was based on the confidence coefficient and the averagewidth of interval estimation.The results indicated that Bayesian Estimation with a gamma distribution yielded anaverage width of interval which was less than for the Maximum Likelihood method for eachcase studied. The ƒÑ , ƒÒ parameter estimates for the posterior distribution depended onƒÿ of the Poisson distribution and the sample size.
ʶҺѹ෤â¹âÅÂÕ¾ÃШÍÁà¡ÅéÒ¾Ãй¤Ãà˹×Í. ÊӹѡËÍÊÁØ´¡ÅÒ§
Address:
¡Ãا෾ÁËÒ¹¤Ã
Email:
library@kmutnb.ac.th
Name: ÇԹѠ⾸ÔìÊØÇÃóì
Role:
·Õè»ÃÖ¡ÉÒÇÔ·ÂÒ¹Ô¾¹¸ì
Email :
wnb@kmitnb.ac.th
Name: ¡ÒàÃç¸ à¤ÅµÑ¹
Role:
·Õè»ÃÖ¡ÉÒÇÔ·ÂÒ¹Ô¾¹¸ì
Created:
2549
Issued:
2550-12-03
Modified:
2567-06-24
ÇÔ·ÂÒ¹Ô¾¹¸ì/Thesis
CallNumber:
Ǿ MAST ¡276¾
tha
DegreeName: ÇÔ·ÂÒÈÒʵÃìÁËҺѳ±Ôµ
Level: »ÃÔÒâ·
Descipline: ʶԵԻÃÐÂØ¡µì
©copyrights ÁËÒÇÔ·ÂÒÅÑÂà·¤â¹âÅÂÕ¾ÃШÍÁà¡ÅéÒ¾Ãй¤Ãà˹×Í
RightsAccess:
ãªéàÇÅÒ
0.034831 ÇÔ¹Ò·Õ
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