ตัวแบบการถดถอยเซอร์คิวลาร์–เซอร์คิวลาร์และการประยุกต์กับข้อมูลอุตุนิยมวิทยา อรไท พลแสน
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Continuing resourceSubject(s): ข้อมูลอุตุนิยมวิทยา | พยากรณ์อากาศOnline resources: บทความฉบับเต็ม
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วิชาการพระจอมเกล้าพระนครเหนือ ปีที่ 34 ฉบับที่ 2 (เมษายน-มิถุนายน 2567) หน้า 1-11Summary: The purpose of this paper is to investigate the four–parameter circular regression model of Taylor in which the angular error is distributed as a wrapped Cauchy distribution. The study is also extended to a polynomial circular model, including parameter estimation using a method of maximum likelihood. The estimations of regression parameters are examined through simulations. In addition, an application of the model considered here is illustrated using a real dataset of wind directions measured at a weather station in Texas and its fit is compared with some existing regression models
The purpose of this paper is to investigate the four–parameter circular regression model of Taylor in which the angular error is distributed as a wrapped Cauchy distribution. The study is also extended to a polynomial circular model, including parameter estimation using a method of maximum likelihood. The estimations of regression parameters are examined through simulations. In addition, an application of the model considered here is illustrated using a real dataset of wind directions measured at a weather station in Texas and its fit is compared with some existing regression models