An impedance spectrum containing 80 data points was fitted with different circuit models. The number of adjustable parameters in each model and the residual sum squared errors are listed below. $$\begin{array} { | l | l | l | }
\hline \text { Model } & \begin{array} { l }
\text { Number of } \
\text { Parameters }
\end{array} & \text { RSS } \
\hline \text { Model-1 } & 3 & 200 \
\hline \text { Model-2 } & 5 & 150 \
\hline \text { Model-3 } & 8 & 110 \
\hline \text { Model-4 } & 12 & 105 \
\hline
\end{array}$$
The best-suited model should be chosen based on the least value of
A) RSS
B) Akaike Information criterion (AIC)
C) corrected AIC
D) none of the above

Question

An impedance spectrum containing 80 data points was fitted with different circuit models. The number of adjustable parameters in each model and the residual sum squared errors are listed below. $$\begin{array} { | l | l | l | } 
\hline \text { Model } & \begin{array} { l } 
\text { Number of } \
\text { Parameters }
\end{array} & \text { RSS } \
\hline \text { Model-1 } & 3 & 200 \
\hline \text { Model-2 } & 5 & 150 \
\hline \text { Model-3 } & 8 & 110 \
\hline \text { Model-4 } & 12 & 105 \
\hline
\end{array}$$
The best-suited model should be chosen based on the least value of
A) RSS
B) Akaike Information criterion (AIC)
C) corrected AIC
D) none of the above

Quizplus · Accepted Answer

The corrected Akaike Information Criterion (AICc) is preferred for small sample sizes and accounts for the number of parameters, balancing model fit and complexity.

An Impedance Spectrum Containing 80 Data Points Was Fitted with Different