time series regression
Peramalan Inflow dan Outflow Uang Kartal Bank Indonesia di Wilayah Jawa Tengah dengan Menggunakan Metode ARIMA, Time Series Regression, dan ARIMAX
... metode time series yang lebih sulit dan memiliki tingkat kerumitan lebih akan selalu menghasilkan nilai ramalan yang lebih akurat daripada metode yang ...
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Penerapan Model Hybrid ARIMAX-Quantile Regression untuk Peramalan Inflow dan Outflow Pecahan Uang Kartal di Jawa Timur - ITS Repository
... model time series regression, sehingga model time series regression yang terpilih menjadi model terbaik untuk memodelkan data outflow pecahan ...metode time series ...
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this PDF file A COMPARATIVE STUDY OF FORECASTING MODELS FOR TREND AND SEASONAL TIME SERIES DOES COMPLEX MODEL ALWAYS YIELD BETTER FORECAST THAN SIMPLE MODELS | Suhartono | Jurnal Teknik Industri 1 PB
... economic time series are non-stationary time series that contain trend and seasonal ...modeling time series with both trend and seasonal ...Decomposition, Time ...
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PROS Lailatul U, Agus S, Suhartono Inflow and outflow fulltext
... are time series data, so in this observation used calendar variation model based on time series ...on time series regression in improving the accuracy of the realization ...
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PROS Lailatul U, Agus S, Suhartono Inflow and outflow abstract
... are time series data, so in this observation used calendar variation model based on time series ...on time series regression in improving the accuracy of the realization ...
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Analysis of Financial Time Series
... of time duration between trades and some econometric models for analyzing transactions ...multivariate time series anal- ysis and simple multivariate models with emphasis on the lead–lag relationship ...
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Bahan untuk Time series decomposition.pdf
... data time series melibatkan sebuah upaya untuk mengenali faktor-faktor komponen yang mempengaruhi setiap nilai dalam sebuah ...nilai-nilai time series di masa yang akan ...penurunan ...
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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, karena jika suatu data time series tidak stasioner maka hanya dapat mempelajari prilakunya pada waktu tertentu, sedangkan untuk peramalan (forecasting) akan sulit untuk ...
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IDENTIFIKASI POLA DATA TIME SERIES
... Selanjutnya fungsi autokorelasi ditunjukan pada gambar 3-7 yang dikontruksikan dengan menggunakan minitab. Perlu dicatat bahwa dua garis putus-putus menunjukkan pendekatan dengan tingkat kepercayaan 95%. 10 time ...
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(ABSTRAK) PENGARUH FAKTOR-FAKTOR MONETER TERHADAP INFLASI DI INDONESIA.
... linear regression model with time using a coherent data (time series), a classic test assumptions and hypothesis testing to determine how the influence of monetary factors on inflation in ...
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Peramalan Kelembaban Udara dengan pendek
... dengan time series ada 2 kategori utama yang perlu dilakukan pengujian, yaitu pemulusan (smoothing) dan dekomposisi ...data time series menjadi beberapa komponen dari Trend, Siklis, Musiman ...
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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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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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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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Manajemen | Fakultas Ekonomi Universitas Maritim Raja Ali Haji 073500104000000280
... in time series processes dates back at least to Hurst (1951), and Granger and Joyeux (1980) and Granger (1981) introduced it to ...many time series is an illusion generated by occasional level ...
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Hybrid Empirical Mode Decomposition-ARIMA for Forecasting Price of Rice
... The prices of rice data has been forecasted by many of previous researchers with various types of methods. Sandika [8] applied growth models on three types of rice in Sri Lanka which are samba, kakulu, and nadu. While ...
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TIME SERIES DENGAN K STAT
... R-squared 0.657546 Mean dependent var 114.5833 Adjusted R-squared 0.461858 S.D. dependent var 151.6794 S.E. of regression 111.2692 Akaike info criterion 12.55612 Sum squared resid 86665.86 Schwarz criterion ...
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Implementasi Vector Auto Regression (Var) untuk Pemodelan Multivariate Time Series Trafik Internet di Kampus Ubaya - Ubaya Repository
... Dalam Tugas Akhir ini, akan dibahas pemodelan trafik internet menggunakan salah satu metode statistika, yaitu Vector Auto Regression (VAR). VAR adalah metode statistik atau alat analisis yang digunakan baik untuk ...
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