คุณสมบัติของ MLE 1. MLE เป็น sufficient estimator. 2. MLE เป็น asymptotically minimum variance unbiased est.
{"Image DocumentName": "\u0e04\u0e38\u0e13\u0e2a\u0e21\u0e1a\u0e31\u0e15\u0e34\u0e02\u0e2d\u0e07 MLE1. MLE \u0e40\u0e1b\u0e47\u0e19 sufficient estimator. 2. MLE \u0e40\u0e1b\u0e47\u0e19 asymptotically minimum variance unbiased est.", "Image ImageDescription": "3. \u0e16\u0e49\u0e32 \u0e40\u0e1b\u0e47\u0e19 MLE \u0e02\u0e2d\u0e07 , \u0e08\u0e30\u0e44\u0e14\u0e49\u0e27\u0e48\u0e32 \u0e08\u0e30\u0e40\u0e1b\u0e47\u0e19 MLE \u0e02\u0e2d\u0e07 \u0e14\u0e49\u0e27\u0e22 <-- Invariance Principle.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}