STL Remainder Value

Problem

Compute the STL remainder for one observation: observed - trend - seasonal.

The remainder captures what the trend and seasonal components fail to explain at that time point.

Hint

STL decomposes the series additively, so the remainder is simple subtraction.

case 1

in: [10,7,2]

expected: 1

case 2

in: [5,5,0]

expected: 0

case 3

in: [3.5,2,1.2]

expected: 0.30000000000000004

case 4

in: [0,0,0]

expected: 0

Starter codePython

def stl_remainder_value(observed, trend, seasonal):
    # Your code here
    pass

4 test cases · run your code against them in the editor