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Showing posts from April, 2017

R Lesson 3: Double Exponential Smoothing

Assalamualaikum, kali ini saya akan tunjukkan bagaimana untuk generate forecast values using Double Exponential Smoothing aka Brown Exponential Smoothing (DES).
Data: Consumer Price Index (CPI-1994)
Step 1 to 3 refer to my previous post Step 4: (Perform DES with a=0.75, initial=31.3) Step 5: Generate Forecast values Step 6: Error measures
source: Selva Prabhakaran


R Lesson 2: Single Exponential Smoothing

Assalamualaikum. Selain daripada menggunakan MS Excel untuk Time Series Analysis, pelajar juga boleh menggunakan RStudio+R langguage untuk kerja yang sama.
Package "fpp" dan "forecast" ditulis oleh Prof. Rob J Hyndman.
Step 1: (Installation package and call the library package)
Step 2: (Read data from drive)
Step 3: (Splitting data to estimation and evaluation part)
Step 4: (Perform Single Exponential Smoothing with a=0.75, initial = 31.3)
  result Step 5: (Generate forecast values) Step 6: (Error measures for estimation and evaluation)




Penyelidik Indeks Syariah Malaysia 2017

Alhamdulillah diberi peluang bersama sebagai penyelidik Indeks Syariah Malaysia 2017 di bawah pembiayaan JAKIM


R Lesson 1: For Loop

Panorama indah di Perpustakaan Dato' Jaafar Hassan

Membawa pelajar STA570 berkuliah di makmal komputer di banggunan baru Perpustakaan Dato' Jaafar Hassan. Disamping meneruskan sesi kuliah, pelajar dapat menikmati keindahan negeri perlis dari tingkat atas banggunan ini. InsyaAllah sekiranya berkesempatan kita akan kesini lagi.

Quote

Beware of testing too many hypotheses; the more you torture the data, the more likely they are to confess, but confession obtained under duress may not be admissible in the court of scientific opinion. (Stingler, 1987)

Minitab Lesson 2 - Moving Average

Title        : Moving Average
Software: Minitab v14

Minitab Lesson 1 - Time Series Plot

Title        : Time Series Plot
Software: Minitab v14