Time Series
Karakteristik Time Series dan Model Random Walk
... of time series analysis is generally twofold: to understand or model the stochastic mechanism that gives rise to an observed series and to predict or forecast the future values of a series ...
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Bahan untuk Time series decomposition.pdf
... dan time series yang terkait merupakan sebuah gambar rangkaian penjualan ...dari time series meliputi pendapatan kwartalan, tingkat inventarisasi bulanan, dan kurs ...umum, time ...
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REGRESI LINIER FUZZY PADA DATA TIME SERIES
... Time series merupakan kumpulan observasi yang berurutan menurut ...pembelajaran time series termasuk pemahaman dan deskripsi model, peramalan nilai di masa mendatang, dan sistem kontrol ...
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Neural Networks for Time Series Processing
... to time series processing, namely signal processing ...discrete time steps, constitutes a time series as dened ...and time series ...in time series ...
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Spectral approach for time series analysis
... macroeconomic time series dates motivated by the requirement of a more insightful knowledge of the series structure and supported by the contemporaneous progress in spectral estimation and ...among ...
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Palmprint Verification Using Time Series Method
... The use of biometrics as an automatic recognition system is growing rapidly in solving security problems; palmprint is one of biometric system which often used. This paper used two steps in center of mass moment method ...
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Analysis of Financial Time Series
... financial time series analysis has attracted substantial attention in recent years, especially with the 2003 Nobel awards to Professors Robert Engle and Clive ...same time, the field of financial ...
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PERBANDINGAN METODE FUZZY TIME SERIES HS
... fuzzy time ser ies dil akukan degan car a menangkap pol a dar i data sebelumnya, kemudi an dat a ter sebut di gunakan untuk mempr oyeksikan data yang akan ...ime series, panjang inter val telah dit entukan ...
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IDENTIFIKASI POLA DATA TIME SERIES
... Jika sebuah runtun waktu mempunyai trend, sebuah hubungan signifikan terjadi diantara sejumlah runtun waktu koefisien korelasi dengan tipe besar untuk time lag pertama, dan kemudian secara berangsur akan turun ...
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Peramalan Kebutuhan Pelumas Castrol di PT. Astra International Daihatsu dengan Metode ARIMA untuk Optimasi Persediaan - Repositori UIN Alauddin Makassar
... Data time series ini merupakan suatu deskripsi masa lampau dan digunakan untuk meramalkan masa depan, artinya berharap masa depan dapat dijelaskan dengan informasi yang ada pada masa ...data time ...
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Peramalan Kelembaban Udara dengan pendek
... 61). Time series dikatakan stasioner apabila tidak ada unsur trend dalam data dan tidak ada unsur musiman atau rata-rata dan variannya ...plot time series, stasioner dapat dilihat dari plot ...
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Getting Started with Python Data Analysis Learn to use powerful Python libraries for effective data processing and analysis pdf pdf
... We assume you have been exposed to programming and Python and you want to broaden your horizons and get to know some key libraries in the data analysis field. We think that people with different backgrounds can benefit ...
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Hybrid Empirical Mode Decomposition-ARIMA for Forecasting Price of Rice
... The prices of rice keep changing from time to time. It creates risks to producers, suppliers, consumers, and other parties that involved in marketing and production of rice. Thus, it is important to do ...
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Grey Exponential Smoothing for Forecasting Indonesian Income Tax
... Since it seems that there are more series which have multiplicative trend than additive trend, some researches tend to develop this scope. The parameter to dampening the multiplicative trend added to exponential ...
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