 ผลงานตีพิมพ์ในวารสารวิชาการEnhancing quality control in emulsion-type sausage production: Predicting chemical composition of intact samples with near infrared spectroscopyผู้แต่ง: Dr.Pitiporn Ritthiruangdej, Associate Professor , Dr.Kanithaporn Vangnai, Associate Professor , Dr.Sumaporn Kasemsumran ,  Somboonying, S., Charoensin, P., Hiriotappa, A., Lowleraha, P., วารสาร: 
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ผลงานตีพิมพ์ในวารสารวิชาการPerformance evaluation of convolution neural networks in canopy height estimation using sentinel 2 data, application to Thailandผู้แต่ง:ElGharbawi, T., Susaki, J., Chureesampant, K., Arunplod, C., Thanyapraneedkul, J., Dr.Ponthip Limlahapun, Assistant Professor , Suliman, A., วารสาร: |
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ผลงานตีพิมพ์ในวารสารวิชาการEstimation of six leaf traits of East Asian forest tree species by leaf spectroscopy and partial least square regressionผู้แต่ง:Nakaji, T., Oguma, H., Nakamura, M., Kachina, P., Asanok, L., Dr.Dokrak Marod, Professor , Aiba, M., Kurokawa, H., Kosugi, Y., Kassim, A.R., Hiura, T., วารสาร: 
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ผลงานตีพิมพ์ในวารสารวิชาการDevelopment of Machine Learning Methods in Hybrid Energy Storage Systems in Electric Vehiclesผู้แต่ง:Tzu-Chia Chen, Fouad Jameel Ibrahim Alazzawi, John William Grimaldo Guerrero, Dr.Paitoon Chetthamrongchai, Assistant Professor , Aleksei Dorofeev, Aras masood Ismael, Alim Al Ayub Ahmed, Ravil Akhmadeev, Asslia Johar Latipah, Hussein Mohammed Esmail Abu Al-Rejal, วารสาร: |
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ผลงานตีพิมพ์ในวารสารวิชาการStudy of Mathematical Models in Hot Air Drying of Herbs in Herbal Compress Ballผู้แต่ง:Wongpanit, B., Chotikamas, S., Dr.Supacharee Roddecha, Assistant Professor , Tantayotai, P., Sriariyanun, M., วารสาร: |
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 หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Estimation of the Correlation Coefficient for a Bivariate Normal Distribution with Missing Data) ผู้เขียน:จุฑาภรณ์ สินสมบูรณ์ทอง สื่อสิ่งพิมพ์:pdf AbstractThis study proposes an estimator of the correlation coefficient for a bivariate normal distribution with missing data, via the complete observation analysis method. Evaluation of the proposed estimator (?? J) in comparison with the Pearson correlation coefficient (??P ) was conducted using a simulation study. It was found that, for a higher percentage of missing data in a large sample size, the absolute bias of ?? J was less than that of ?? P when the population correlation coefficients (?) were not close to zero. In addition, the mean square error of ??J was not different from that of ??P in each situation. |
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