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Academia.edu is a platform for academics to share research papers. Download statistik teori dan aplikasi supranto for FREE. All formats available for PC, Mac, eBook Readers and other mobile devices. Download statistik teori dan aplikasi supranto.pdf. 13597.pdf - Koleksi Buku 1986 Supranto, J. Pengantar probabilita dan statistik induktif, jilid 2 / oleh J. Supranto 1986 Judul.

Buku pengantar statistik asas ini disediakan secara khusus bagi membantu mahasiswa daripada universiti awam dan juga universiti swasta yang mengambil kursus asas dalam statistil. Gaya bahasa penulisan dan bab dalam buku pengantar statistik ini disusun dengan begitu rapi supaya mudah diikuti dan difahami oleh pelajar disamping dapat menarik minat para pelajar untuk lebih mendalami ilmu dalam bidang statistic gunaan. Selain itu, buku ini juga turut memberi tumpuan kepada perbincangan teori yang mendasari kepada sesuatukaedah yang dikaji. Aplikasi penggunaan teknologi dalam kaedah pembelajaran juga turut diterapkan kepada pelajar menerusi penggunaan perisian berkomputer, iaitu perisian SPSS dalam menganalisis data terhadap permasalahan yang dibincangkan. Free pst to eml converter. Secara ringkasnya, buku ini dapat juga membantu para pelajar untuk lebih memahami statistic secara teori dan juga aplikasi.

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Weighted Exponential Moving Average (WEMA) method is a new hybrid moving average method which combines the weighting factor calculation found in Weighted Moving Average method with Exponential Moving Average method. It had been proven on previous study that the method can give a better accuracy and robustness levels compared to other conventional moving average methods. Another study which combined the Weighted Moving Average method with Brown's Double Exponential Smoothing method had also been done. The proposed method is known as Brown's Weighted Exponential Moving Average (B-WEMA) method and had been proven to excel other conventional moving average methods in terms of the accuracy and robustness levels. In this study, we will try to compare WEMA and B-WEMA forecasting methods in time series analysis, especially in forecasting. We will implement both methods to forecast three major foreign exchange (forex) data transactions and compare the performance of both methods by using Mean Square Error and Mean Absolute Percentage Error criteria. From the experiments taken, it can be concluded that WEMA and B-WEMA have quite the same accuracy and robustness levels due to their slightly same MSE and MAPE values.

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1. WEMA versus B-WEMA Methods in Forex Forecasting

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  DOI:10.1145/3055635

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